effect ofpre-drawing on formability during cold...
TRANSCRIPT
Effect ofPre-Drawing on Formability During Cold Heading
by
Lianzhong Ma
Department of Mechanical Engineering McGiII University Montreal, Canada
A thesis submitted to Mc Gill University in partial fulfillment of the requirements of the degree of
Master of Engineering
Un der the supervision of: Professor J.A. Nemes
McGill University
© Lianzhong Ma August, 2005
1+1 Library and Archives Canada
Bibliothèque et Archives Canada
Published Heritage Branch
Direction du Patrimoine de l'édition
395 Wellington Street Ottawa ON K1A ON4 Canada
395, rue Wellington Ottawa ON K1A ON4 Canada
NOTICE: The author has granted a nonexclusive license allowing Library and Archives Canada to reproduce, publish, archive, preserve, conserve, communicate to the public by telecommunication or on the Internet, loan, distribute and sell th es es worldwide, for commercial or noncommercial purposes, in microform, paper, electronic and/or any other formats.
The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
ln compliance with the Canadian Privacy Act some supporting forms may have been removed from this thesis.
While these forms may be included in the document page count, their removal does not represent any loss of content from the thesis.
• •• Canada
AVIS:
Your file Votre référence ISBN: 978-0-494-24990-1 Our file Notre référence ISBN: 978-0-494-24990-1
L'auteur a accordé une licence non exclusive permettant à la Bibliothèque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par télécommunication ou par l'Internet, prêter, distribuer et vendre des thèses partout dans le monde, à des fins commerciales ou autres, sur support microforme, papier, électronique et/ou autres formats.
L'auteur conserve la propriété du droit d'auteur et des droits moraux qui protège cette thèse. Ni la thèse ni des extraits substantiels de celle-ci ne doivent être imprimés ou autrement reproduits sans son autorisation.
Conformément à la loi canadienne sur la protection de la vie privée, quelques formulaires secondaires ont été enlevés de cette thèse.
Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant.
ABSTRACT
One of the most common indus trial cold forging processes is cold heading of steel wire
or rod to produce screws, bolts, nuts and rivets. The process is limited by a complicated
interplay of many factors. The cold work (pre-drawing) is one of them. Although several
investigations into the effects of pre-drawing ~m the formability of metals during cold
heading processes have been conducted, so far no attention has been given to the
numerical simulations of this phenomenon. The CUITent work aims at examining effects of
pre-drawing on formability during cold heading through numerical simulations.
Physieal tests in the literature investigating the effects of pre-drawing on the formability
of three metals are simulated using ABAQUS 6.4, with three successive FE models: the
drawing model, the cutting model and the upsetting model. A new combined linear
kinematic/nonlinear isotropic hardening constitutive model is proposed and derived to
aecount for the Bausehinger effect existing in reverse plastic deformation. The new model
is implemented into ABAQUS/Explicit v6.4 by a user subroutine VUMAT, which is
verified by one-element numerical tests under tension, compression and reverse loading
conditions. In addition, for the purpose of comparison, the Johnson-Cook isotropie
hardening model is also applied for the materials. The Cockroft and Latham criterion is
employed to predict surface fracture.
Although considerable discrepancies between the experimental and simulation results are
observed, the proposed combined hardening model is more accurate in predicting material
behavior in the reverse loading than the Johnson-Cook isotropie hardening model. In
addition, the simulation results show that the proposed combined hardening material
mode! has the potential to correctly predict the material behavior in the reverse loading
process.
RÉSUMÉ
Un des processus industriels les plus communs de forge à froid est la formation à froid du
bout du fil d'acier ou de la tige pour produire des vis, des boulons, des écrous et des
rivets. Le processus est limité par des effets compliqués de beaucoup de facteurs. Le
travail à froid (pré-drawing) est l'un d'entre eux. Bien que plusieurs recherches sur les
effets du pré-drawing sur la formabilité des métaux pendant des processus de la formation
à froid du bout aient été conduites, aucune attention n'a été donnée aux simulations
numériques de ce phénomène. Le travail présent vise à examiner des effets du pré
drawing sur la formabilité pendant la formation à froid du bout par des simulations
numériques.
Des essais physiques dans la littérature étudiant les effets du pré-drawing sur la
formabilité de trois métaux sont simulés en utilisant ABAQUS 6.4, avec trois modèles
successifs de FE : le modèle de drawing, le modèle de découpage et le modèle de
dérangement. Un nouveau modèle constitutif du durcissement combiné de kinematique
linéaire/isotrope nonlinéaire est proposé et formulé pour expliquer l'effet de Bauschinger
existant dans la déformation plastique inverse. Le nouveau modèle est mis en application
dans ABAQUSlExplicit v6.4 par un sous-programme VUMAT d'utilisateur, qui est
vérifié par les essais numériques d'un élément sous une tension, une compression et les
conditions de chargement inverse. En outre, pour la comparaison, le modèle du
durrcissement isotrope de Johnson-cook est également appliquée pour les matériaux. Le
critère de Cockroft et de Latham est utilisé pour prévoir la rupture superficielle.
Bien qu'on observe des différences considérables entre les résultats expérimentaux et de
simulation, le modèle combiné du durcissement proposé est plus précis en prévoyant le
comportement matériel sous le chargement inverse que le modèle du durcissement
isotrope de Johnson-cook. En outre, les résultats des simulations montrent que le modèle
matériel combiné du durcissement proposé a le potentiel de prévoir correctement le
comportement matériel dans le procéssus de chargement inverse.
11
ACKNOWLEDGEMENTS
l would like to first thank my supervisor, Professor James A. Nemes, for his guidance,
encouragement, patience and support.
l gratefully acknowledge the financial support of the Natural Sciences and Engineering
Research Council of Canada and Ivaco Rolling Mills through the Strategie Grants
Program.
l would also like to thank aIl the group members under the supervision of Prof. Nemes,
specifically Christine EI-Lahham for her initial help with the simulation modeling, Amar
Sabih for his help with the documentation, Wael Dabboussi for his proofreading of the
thesis, and Desheng Deng for his translation of the abstract.
Finally, l thank my family, my wife, and my daughter for their love and support.
111
TABLE OF CONTENTS
Abstract ........................................................................................................................................... i
Résumé ........................................................................................................................................... ii
Acknowledgments ........................................................................................................................ iii
Table of Contents .......................................................................................................................... iv
List of Figures .............................................................................................................................. vii
List of Tables ................................................................................................................................. xi
Glossary ...................................................................................................................................... xiii
1 Introduction ......................................................................................................................... 1
1.1 Motivation ................................................................................................................ 1
1.2 Objective .................................................................................................................. 2
1.3 Organization ............................................................................................................. 3
2 Literature Review .............................................................................................................. 4
2.1 Cold Reading ........................................................................................................... 4
2.1.1 Properties and Manufacturing Procedures for Cold Reading Quality (CRQ) Steel Wire ........................................................................................ 5
2.1.2 Pararneters for Cold Reading ...................................................................... 6
2.2 Pre-Draw .................................................................................................................. 7
2.2.1 Pre-Drawing Process ................................................................................... 7
2.2.2 Effect ofPre-Drawing on Forrnability during Cold Reading .................. 10
2.2.3 The Bauschinger Effect ............................................................................. 17
2.3 Cold Readability and Ductile Fracture Criteria .................................................... 22
2.3.1 The Macromechanical Approach to Ductile Fracture .............................. 23
2.3.2 The Micromechanical Approach to Ductile Fracture ............................... 25
2.4 Constitutive Relations ............................................................................................ 26
2.4.1 Isotropie Hardening Material Models ....................................................... 27
2.4.2 Kinematic Rardening Material Models .................................................... 30
2.4.3 Combined Kinematic/Isotropic Rardening Material Models .................. 32
2.4.4 Flow Rules ................................................................................................. 34
2.5 Numerical Simulations of Metal Forrning Processes ........................................... 35
IV
2.5.1 Numerical Simulations of Drawing Processes ......................................... 35
2.5.2 Numerical Simulations of Cold Heading Processes ................................. 37
2.5.3 Numerical Simulations of the Fastener Manufacturing Process .............. 38
3 Model Development ........................................................................................................ 39
3.1 Failure Criterion Determination ............................................................................ 39
3.2 Identification of the Corresponding Material Constants for the Johnson-Cook Hardening Model ................................................................................................... 40
3.2.1 Typical Procedures to Determine the Corresponding Material Constants for the Johnson-Cook Hardening Model ................................ .40
3.2.2 Determination of the Corresponding Material Constants for the Johnson-Cook Hardening Model in this Work ....................................... .42
3.3 A Proposed New Combined Linear KinematiclNonlinear Isotropie Hardening Model ...................................................................................................................... 47
3.4 Implementation of the Proposed Combined Linear KinematiclNonlinear Isotropie Hardening into ABAQUS ...................................................................... 52
3.4.1 Overview of User Subroutine ................................................................... 52
3.4.2 The Goveming Equations ......................................................................... 53
3.4.3 Integration of the Goveming Equations ................................................... 54
3.4.4 Derivation of Temperature Increment for an Adiabatic Analysis ........... 57
3.4.5 Flow Chart and Code ofVUMAT and UMAT ........................................ 58
3.5 Verification of the User Subroutine VUMAT ...................................................... 59
3.5.1 One-Element Tests under Uniaxial Loading Conditions ......................... 60
3.5.2 One-Element Tests under Reverse Loading Conditions .......................... 62
4 Numerical Simulations ................................................................................................... 64
4.1 Numerical Simulations of Tozawa and Kojima's Tests ....................................... 64
4.1.1 Experimental Procedure ............................................................................ 64
4.1.2 Description of Simulation ......................................................................... 65
4.1.2.1 Description of the Drawing Model .......................................... 65
4.1.2.2
4.1.2.3
Description of the Cutting Model ............................................ 72
Description of the Upsetting Model ........................................ 74
4.2 Numerical Simulations of Gill and Baldwin' s Tests ............................................ 76
4.2.1 Experimental Procedure ............................................................................ 76
4.2.2 Description of Simulations ........................................................................ 77
5 Numerical Results and Discussion ............................................................................ 79
v
5.1 Determination of the Kinematic Hardening Modulus, H ................................... 79
5.1.1 Determination of the Kinematic Hardening Modulus, H, for S45C ...... 79
5.1.2 Determination of the Kinematic Hardening Modulus, H , for Mn steel. 85
5.1.3 Comments .................................................................................................. 89
5.2 Results of Simulations of Tests in Tozawa and Kojima' s Paper ......................... 90
5.2.1 Results of Simulations for S45C ............................................................... 90
5.2.1.1 Contour Plot lllustration .......................................................... 90
5.2.1.2 Results for the Material Point with the Highest Principal Stress on the Exterior Surface of the Upset Rod ..................... 93
5.2.1.3 Calculations of Reduction in Height from Simulation Results .................................................................................... 1 03
5.2.2 Results of Simulations for Mn Steel ....................................................... 110
5.2.2.1 Results for the Material Point with the Highest Principal Stress on the Exterior Surface of the Upset Rod ................... 110
5.2.2.2 Calculations of Reductions in Height from Simulation Results .................................................................................... 114
5.3 Results of Simulations of Tests in Gill and Baldwin's Paper ............................ 117
5.3.1 Contour Plot lllustration .......................................................................... 117
5.3.2 Calculations of Cold Heading Limit from Simulation Results .............. 119
6 Conclusions and Future Work ................................................................................. 123
6.1 Conclusions and Summary ................................................................................. 123
6.2 Future Work ........................................................................................................ 125
References .............................................................................................................................. 126
Appendix A 2-D Subroutine ..................................................................................................... 130
vi
Number
Figure 2-1
Figure 2-2
Figure 2-3
Figure 2-4
Figure 2-5
Figure 2-6
Figure 2-7
Figure 2-8
Figure 2-9
Figure 2-10
Figure 2-11
Figure 2-12
Figure 2-13
Figure 2-14
Figure 2-15
Figure 2-16
Figure 2-17
Figure 2-18
Page
4
6
8
8
12
LIST OF FIGURES
Tille
Schematics of the cold heading on an unsupported bar in a horizontal machine. (a) Head formed between punch and die. (b) Head formed in punch. (c) Head formed in die. (d) Head formed in punch and die. (adapted from Davis, 1988)
Conventional procedure for the manufacturing of CHQ steel wire (adapted from Sarruf, 2000)
Drawing ofrod or wire (adapted from Davis, 1988)
Cross section of a typical wire die for drawing 5.5mm (0.218 in.) diameter rod to 4.6mm (0.18 in.) diameter wire (adapted from Davis, 1988)
he ad diameter Cold heading limit ( .. ) versus percentage reduction of area by
Wlre dzameter
drawing by 7°,15° and 30° dies (adapted from Gill and Baldwin, 1964)
13 Plot of fracture true axial strain versus pre-strain by drawing (adapted from Luntz, 1969/1970)
14
15
16
16
17
18
19
19
20
20
21
21
A -A o Ir, on the upsetting limit,
Ao Effect of the reduction of area in drawing,
ho - hlr -----""- (adapted from Tozawa and Kojima, 1971) h
Effect of approach die angle at constant reduction on the reduction in height for two steels (adapted from Tozawa and Kojima, 1971)
S45C. Average axial stress versus average axial strain curves for upsetting with different reductions of area (adapted from Tozawa and Kojima, 1971)
Mn steel. Average axial stress versus average axial strain curves for upsetting with 40% reduction of area (adapted from Tozawa and Kojima, 1971)
Schematic Bauschinger effect curve
The effect of pre-drawing on strength in compression. Material K1020. Only the homogeneous drawing strain is shown (adapted from Havranek, 1984)
The effect of pre-drawing on strength in compression. Material K1020. (adapted from Havranek, 1984)
The effect of 29% pre-drawing on strength in compression. Material K1020, spheroidised 700°C/24h (adapted from Havranek, 1984)
The effect of pre-drawing on strength in compression. Material KI040 (adapted from J. Havranek, 1984)
The effect of 29% pre-drawing on strength in compression. Material K1040, spheroidised 700°C/24h (adapted from Havranek, 1984)
Fracture limits in K1020 and K1040 determined in the support upset tests (adapted from Havranek, 1984)
Fracture limits in spheroidised K1020 and K1040 determined in the support upset tests (adapted from Havranek, 1984)
VIl
Figure 3-1
Figure 3-2
Figure 3-3
Figure 3-4
Figure 3-5
Figure 3-6
Figure 3-7
Figure 3-8
Figure 3-9
Figure 3-10
Figure 3-11
Figure 4-1
Figure 4-2
Figure 4-3
Figure 4-4
Figure 4-5
Figure 4-6
Figure 5-1
Figure 5-2
Figure 5-3
Figure 5-4
Figure 5-5
42
43
44
45
46
50
59
60
61
62
63
64
66
69
72
73
74
80
81
83
83
84
Stress versus strain in simple tension and compression tests (adapted from Tozawa and Kojima, 1971)
Stress versus plastic strain in the simple tension and compression tests
Comparison of the stress versus plastic strain curves calculated from the Johnson-Cook hardening model with the corresponding values of the material parameters obtained from tension curve fitting and those from tension tests in the literature
Comparison of stress versus plastic strain curves calculated from the JohnsonCook hardening model with the corresponding values of the material parameters obtained from tension curve fitting and those from compression tests in the literature
Comparison of stress versus plastic strain results from compression tests in the literature and those calculated from the Johnson-Cook hardening model with the corresponding values of the material parameters obtained from compression curve fitting
Symmetric strain cycle experiment (adapted from HKS Inc., 2004)
Flow chart for VUMAT
S45C. Mises stress versus equivalent plastic strain results from uniaxial tension simulations with H = 100 (MPa) and isotropie hardening
S45C. Mises stress versus equivalent plastic strain results from uniaxial compression simulations with H = 100 (MPa) and isotropie hardening
S45C. Axial stress versus axial plastic strain results from reverse loading testing models with H = 0 (MPa) and isotropie hardening
S45C. Axial stress versus axial plastic strain results from reverse loading testing models with H = 100 (MPa)
The procedure of Tozawa and Kojima's test
Geometry and mesh for FEM drawing model
The end shape ofthe eut rod (a) with adaptive mesh and (b) without adaptive mesh
History of ratio of kinematic energy to internaI energy
(a) Configuration of the drawn rod at the final increment of the drawing simulation and (b) The initial configuration of the rod in cutting model.
Initial configuration of the upsetting model
Force versus displacement curves for the simulations of upsetting after 20% pre-drawing by a 30° die for S45C
Simulation and experimental average axial stress versus average axial strain curves for upsetting after 20% pre-drawing by a 30° die for S45C
Force versus displacement curves for the simulations of upsetting without predrawing for S45C
Force versus displacement curves for the simulations of upsetting after 40% pre-drawing by a 30° die for S45C
Simulation and experimental average axial stress versus average axial strain curves for upsetting without pre-drawing for S45C
viii
Figure 5-6
Figure 5-7
Figure 5-8
Figure 5-9
Figure 5-10
Figure 5-11
Figure 5-12
Figure 5-13
Figure 5-14
Figure 5-15
Figure 5-16
Figure 5-17
Figure 5-18
Figure 5-19
Figure 5-20
Figure 5-21
Figure 5-22
Figure 5-23
Figure 5-24
Figure 5-25
84
86
86
87
87
88
88
91
92
95
95
96
96
97
97
99
99
100
100
101
Simulation and experimental average axial stress versus average axial strain curves for upsetting after 40% pre-drawing by a 30° die for S45C
Force versus displacement curves for the simulations of upsetting after 40% pre-drawing by a 30° die for Mn steel
Simulation and experimental average axial stress versus average axial strain curves for upsetting after 40% pre-drawing by a 30° die for Mn steel
Force versus displacement curves for the simulations of upsetting after 40% pre-drawing by a 15° die for Mn steel
Force versus displacement curves for the simulations of upsetting after 40% pre-drawing by a 60° die for Mn steel
Simulation and experimental average axial stress versus average axial strain curves for upsetting after 40% pre-drawing by a 15° die for Mn steel
Simulation and experimental average axial stress versus average axial strain curves for upsetting after 40% pre-drawing by a 60° die for Mn steel
Contour of the equivalent plastic strain of the rod obtained from the simulations with H equal to 300 (MPa) for the process with 20% pre-drawing by a 30° die for S45C
Contour plot of maximum principal stress (MPa) of the rod obtained from the simulations with H equal to 300 (MPa) for the process with 20% pre-drawing by a 30° die for S45C
History of hoop (0 (J(J)' axial (0 zz), shear (0 rz) and radial stress (0 rr )
components of the element with the highest principal stress from the simulation with H equal to 300 (MPa)
History of hoop (Et(J ) and axial (E~) plastic strain components of the element
with the highest principal stress from the simulation with H equal to 300 (MPa)
Time history of hoop (0 (J(J)' axial (0 zz), shear (0 r(J ) and radial stress (0 rr)
components of the element with the highest principal stress from the simulation with the isotropie hardening
History of hoop (E:(J ) and axial (E ) plastic strain components of the element
with the highest principal stress from the simulation with isotropie hardening
History of the maximum principal stress, hoop stress and axial stress of the element with the highest principal stress from the simulations with H equal to 300 (MPa)
History of the maximum principal stress, hoop stress and axial stress of the element with the highest principal stress from the simulations with isotropie hardening
History of maximum principal stress for simulations with 10% pre-drawing
History of maximum principal stress for simulations with 20% pre-drawing
History of maximum principal stress for simulations with 40% pre-drawing
History of equivalent plastic strain for simulations with H equal to 300 (MPa)
History of maximum principal stress for simulations with H of 300 (MPa).
IX
Figure 5-26
Figure 5-27
Figure 5-28
Figure 5-29
Figure 5-30
Figure 5-31
Figure 5-32
Figure 5-33
Figure 5-34
Figure 5-35
Figure 5-36
Figure 5-37
Figure 5-38
Figure 5-39
Figure 5-40
Figure 5-41
101 Maximum principal stress versus equivalent plastic strain for simulations with 10% pre-drawing
102 Maximum principal stress versus equivalent plastic strain for simulations with 20% pre-drawing
102 Maximum principal stress versus equivalent plastic strain for simulations with 40% pre-drawing
103 Maximum principal stress versus equivalent plastic strain curve of the element with the highest maximum principal stress for the simulation with the combined hardening model with H of 300 (MPa) without pre-draw
104
105
105
111
111
112
112
Evolution of the accumulated Cockroft and Latham parameter for simulations with the combined hardening model with H equal to 300 (MPa)
Evolution of the accumulated Cockroft and Latham parameter for simulations with the combined hardening model with H equal to 600 (MPa)
Evolution of the accumulated Cockroft and Latham Parameter for simulations with isotropic hardening model
History of equivalent plastic strain for simulations with pre-drawing of 10% reduction in area with the combined hardening model with H of 200 (MPa)
History of equivalent plastic strain for simulations with pre-drawing of 20% reduction in area with the combined hardening model with H of 200 (MPa)
History of equivalent plastic strain for simulations with pre-drawing of 40% reduction in area with the combined hardening model with H of 200 (MPa)
Maximum principal stress versus equivalent plastic strain results for simulations with pre-drawing of 10% reduction in area with the combined hardening model with H of 200 (MPa)
113 Maximum principal stress versus equivalent plastic strain results for simulations with pre-drawing of 20% reduction in area with the combined hardening model with H of 200 (MPa)
113 Maximum principal stress versus equivalent plastic strain results for simulations with pre-drawing of 40% reduction in area with the combined hardening model with H of 200 (MPa)
118 Contour plot of equivalent plastic strain for 20% reduction
118 Contour plot of maximum principal (MPa) stress for 20% reduction in area
119 Contour plot of temperature (oC) for 20% reduction in area
x
Number Page
Table 2-1 11
Table 2-2 14
Table 3-1 43
Table 3-2 45
Table 3-3 47
Table 4-1 65
Table 4-2 65
Table 4-3 67
Table 4-4 67
Table 4-5 76
Table 4-6 76
Table 4-7 78
Table 4-8 78
Table 5-1 106
Table 5-2 106
Table 5-3 106
Table 5-4 107
Table 5-5 107
Table 5-6 107
Table 5-7 108
Table 5-8 114
Table 5-9 115
Table 5-10 115
Table 5-11 115
Table 5-12 115
Table 5-13 116
LIST OF TABLES
Tille
Wire sizes for cold heading (adapted from Gill and Baldwin, 1964)
Mechanical properties oftwo steels (adapted from Tozawa and Kojima, 1971)
Values of material parameters obtained from tension curve fitting
Values of material parameters obtained from compression curve fitting
Values of material parameters for S45C and Mn steel
Chemical composition of materials used (adapted from Tozawa and Kojima, 1971)
Pre-drawing reductions in area and die approach angle for S45C and Mn steel.
Original geometry of the rod corresponding to finallength 12 mm
Original geometry of the rod for the FEM drawing model
Heights of compressed rods to fracture (a) for S45C and (b) for Mn steel
Chemical composition of AISI 1335 (adapted from EAD Inc., 1977)
Material properties of Mn steel
Corresponding heights at fracture from Gill' s paper
Predicted heights to fracture and reductions in height for simulations with H of 300 (MPa)
Predicted heights to fracture and reductions in height for simulations with H of 600 (MPa)
Predicted heights to fracture and reductions in height for simulations with isotropic hardening model
Heights to fracture and reductions in height from the experiments in the literature
Comparisons of heights to fracture between the simulation and experimental results
Comparisons of reductions in height between the simulation and experimental results
Differences of reduction in height
Reductions in height for the experiments in the literature
Calculated Cockroft and Latham constants
Comparison of the predicted and experimental heights to fracture for the process with 15°approach angle
Comparison of the predicted and experimental heights to fracture for the process with 300 approach angle
Comparison of the predicted and experimental heights to fracture for the process with 600 approach angle
Comparisons of reductions in height between the simulation and experimental results for the process with 15° approach angle
Xl
Table 5-14 116
Table 5-15 116
Table 5-16 116
Table 5-17 117
Table 5-18 117
Table 5-19 120
Table 5-20 120
Table 5-21 120
Table 5-22 121
Table 5-23 121
Table 5-24 121
Table 5-25 121
Table 5-26 122
Table 5-27 122
Comparisons of reductions in height between the simulation and experimental results for the process with 300 approach angle
Comparisons of reductions in height between the simulation and experimental results for the process with 60° approach angle
Differences of reduction in height between results from simulations and literature for 15° approach angle
Differences of reduction in height between resuIts from simulations and literature for 30° approach angle
Differences of reduction in height between results from simulations and literature for 60° approach angle
Radius of the rods to fracture for 7° approach angle
Radius of the rods to fracture for 15° approach angle
Radius of the rods to fracture for 30° approach angle
Comparisons of ratios of the fracture radius to the initial radius of the rod between the simulation and experimental resuIts for 7° approach angle
Comparisons of ratios of the fracture radius to the initial radius of the rod between the simulation and experimental resuIts for 15° approach angle
Comparisons of ratios of the fracture radius to the initial radius of the rod between the simulation and experimental resuIts for 30° approach angle
Differences between the predicted and experimental ratios for 7° approach angle
Differences between the predicted and experimental ratios for 15° approach angle
Differences between the predicted and experimental ratios for 30° approach angle
xii
a 2a 0.
gnew
dv aij
do.ij
Ë P
Ë f
t P
êl
1
. " é
. * ê axia/
!!.ê e
!!.ê P
!!'ËP
o al
am al
GLOSSARY
semi-angle approach angle backstress tensor
backstress tensor at the end of the time increment
backstress tensor at the beginning of the time increment
backstress rate tensor
components of a backstress tensor
deviatoric backstress tensor
components of a deviatoric backstress tensor
backstress increment components
equivalent plastic strain
equivalent plastic strain to fracture
uni axial plastic strain.
tensile plastic strain at yield point of cycle i .
compression plastic strain at yield point of cycle i .
total mechanical strain rate tensor
elastic strain rate tensor
plastic strain rate tensor
equivalent plastic strain rate
dimensionless equivalent plastic strain rate for Eo= 1.0 s-J
dimensionless axial plastic strain rate for Eo= 1.0 s-J
increment of uniaxial plastic strain.
equivalent plastic strain increment
components of a plastic strain increment
increment of strain tensor over a time increment
increment of elastic strain tensor over a time increment
increment of plastic strain tensor over a time increment
increment of equivalent plastic strain over a time increment axial stress
maximum principle tensile stress
hydrostatic stress
tensile and compression yield stresses of cycle i
compression and compression yield stresses of cycle i
equivalent stress
xm
o
d trial
(Y new
o new
o ISO
(Yiso new
do df.1 t;ij
2f.1 À
dÀ yP
1z 1]
P A Ao
AI
Ac
AI
AIr
A* B B*
C
Co
CI
C2
C3
C4
Cs Cz
Cz
components of a stress tensor
stress tensor
stress tensor rate
trial stress tensor at the end of the time increment
stress tensor at the end of the time increment
stress tensor at the beginning of the time increment
a measure of the size of the yield surface a measure of the size of the yield surface at the end of the time increment increment of uniaxial stress positive scalar
the Kronecker delta
Lames constant Lames constant a positive scalar heat flux per unit volume
a material scalar quantity the plastic heat fraction material density Johnson-Cook material constant
original cross-sectional area of the rod
Oyane fracture criterion constant
CUITent cross-sectional area of the rod
finishing cross-sectional area of the rod
cross-sectional area of the rod at fracture
Johnson-Cook material constant at the strain rate of 0.002 S-I
Johnson-Cook material constant Johnson-Cook material constant at the strain rate of 0.002 S-I
Johnson-Cook material constant
fracture criterion constant
Frudenthal fracture criterion constant
Cockroft and Latham fracture criterion constant
Brozzo et al. fracture criterion constant
Oh et al. fracture criterion constant
Oyane fracture criterion constant
a material scalar quantity
the rate of change of Cz with respect to temperature and field
variables
specific heat
XIV
c F F(oij)
J; g H
h
Q
/inew
striai _new
Tnew
Tmelt
Told
t
!!lt y
kinematic hardening material constant die reaction force
function of actual stress state
field variable
plastic potential anisotropic part of the plastic hardening modulus or kinematic hardening modulus material constant representing the isotropie part of the plastie hardening modulus
initial height of the rod
height of the rod at fracture
CUITent height of the rod
ratio of the stress at elevated temperature to that at the room temperature at the same strain rate, material constant in yie1d function
finallength of the rod
originallength of the rod
Johnson-Cook material constant Johnson-Cook material constant
normal to the Mises yield surface
original radius of the rod
finishing radius of the rod
coefficient of multiple determination fraction al drawing reduction in area deviatoric stress tensor
deviatoric stress tensor at the end of the time increment
trial deviatoric stress tensor at the end of the time increment
components of a deviatoric stress tensor
CUITent temperature increment of temperature over a time increment rate of temperature normalized temperature
reference temperature
temperature at the end of the time increment
melting temperature of the material
temperature at the beginning of the time increment
time time increment yield stress in uniaxial tension (or compression)
xv
1 Introduction
1.1 Motivation
One of the most common indus trial cold forging processes is cold heading of steel wire or
rod to produce screws, bolts, nuts and rivets (Billigmann, 1953). The major consumers of
the se products are automotive, construction, aerospace, railway, metallurgical industry
and electrical product sectors (Barret, 1997).
It is of great significance to assess the formability of cold heading materials (metals), a
major feature of forming processes, since failures, because of insufficient formability of
heading materials, result in expensive equipment downtime, material waste, tooling
damage, and unpredictable potential loss to end users. The forming process is limited by a
complicated interplay of several factors, namely, material microstructure, temperature,
deformation rate, tool and workpiece geometry, the friction at the interface of the
workpiece and tool (Sowerby et al., 1984), the surface quality of the workpiece (Muzaket
et al.,1996; Maheshwari et al., 1978) and the amount of cold work (pre-drawing)
performed on the workpiece prior to cold heading (Jenner and Dodd, 1981).
The ductility of a material, which can be defined as "the ability of a material to withstand
deformation without fracture" (NickoletopouIos, 2000), is strain-history dependent
(Rogers, 1962). Many researchers have shown that wire drawing after process annealing
can in sorne circumstances increase ductility in subsequent upsetting operations
(Billigman, 1951; Gill and Baldwin, 1964; Luntz, 1969/1970; Tozawa and Kojima, 1971;
Havranek, 1984). The Bauschinger effect has been observed in the upsetting of steel wire
following pre-drawing, which is regarded as the cause for increased ductility in the
subsequent upsetting (Havranek, 1984). Therefore, the quantitative evaluation of effects
of pre-drawing on fracture would be of considerable use to the cold heading industry
(Nickoletopoulos, 2000).
1
To evaluate the effects of pre-drawing on formability during cold heading for metals,
trial-and-error, by repeating the real physical process and taking measurements, is not a
feasible approach since it is time consuming, costly, difficult and sometimes even
impossible. Alternatively, estimating the effect of pre-drawing with the finite element
method (FEM) , which has proved to be a powerful tool to simulate a metal forming
operation, is far more cost-effective. However, although several investigations into effects
of pre-drawing on the formability of several metal materials during cold heading
processes have been conducted, no attention has been given to the numerical simulations
of this phenomenon so far. Most of the numerical simulations of bulk forming processes
simulated only a single process such as drawing, extrusion, or upsetting. Although one of
the simulations (Petrescu et al., 2002) involved both pre-drawing and subsequent
upsetting, the intent was not to evaluate the effects of pre-drawing, but to simulate as
accurately as possible the typical procedures employed in the fastener manufacturing
process. To address the above concerns, the present project was initiated.
1.2 Objective
The objective of this work is to examine effects of pre-drawing on formability during cold
heading through numerical simulations. In this work, physical tests from the literature
(Gill and Baldwin, 1964; Tozawa and Kojima, 1971) were simulated with finite element
software ABAQUS 6.4; a new combined linear kinematic/nonlinear isotropic hardening
constitutive model was proposed and implemented in the simulations. The Johnson-Cook
isotropic hardening constitutive model was also applied to make a comparison between
the isotropic hardening and combined linear kinematic/nonlinear isotropic hardening
models. The well-known Cockroft and Latham criterion (Cockroft and Latham, 1968)
was employed to prediet the surface fracture.
The material constitutive model is one of the cri tic al inputs required for an accurate
numerical simulation of a metal forming process. To date, most simulations of bulk metal
forming processes in literature are with isotropie plastic hardening material models as
material constitutive model inputs, whieh are reasonable for monotonic bulk forming
2
processes. To simulate reverse-loading processes, such as pre-drawing followed by cold
heading in this work, kinematic hardening material models must be used instead due to
the fact that isotropic plastic hardening material models are incapable of taking into
account the Bauschinger effect. Therefore, a combined linear kinematic/nonlinear
isotropic hardening constitutive model, which is able to account for the Bauschinger
effect, was proposed to simulate the inelastic behavior of three materials, Mn steel and
C45S, investigated by Tozawa and Kojima (1971), and AISI 1335 investigated by Gill
and Baldwin (1964). Since the chemical compositions of the Mn steel and AISI 1335 are
similar, in this work, they are treated as the same material.
1.3 Organization
This thesis is divided into the following chapters: Chapter 2 presents a literature review of
cold heading, pre-drawing processes, ductile fracture criteria, the Bauschinger effect,
constitutive relations and numerical simulations of met al forrning processes. Chapter 3
presents the determination of ductile fracture criteria, the identification of material
constants for the Johnson-Cook hardening model, the derivation of a new combined linear
kinematic/nonlinear isotropic hardening constitutive model and the implementation of the
combined constitutive model through user subroutines including the verification of the
user subroutines. Chapter 4 describes the numerical simulation models. Chapter 5
presents the simulation results and discussion. Finally, conclusions and recommendations
for future work are presented in Chapter 6.
3
2 Literature Review
2.1 Cold Heading
Cold heading is a cold-forging process in which the force developed by one or more
blows of punch( es) is used to upset the metal in a portion of a wire or rod blank contained
between the punch(es) and die(s) in order to form a section of a pre-determined contour.
(Davis, 1988). The cross-sectional area of the initial material is increased as the height of
the workpiece is decreased. Figure 2-1 illustrates the cold heading on an unsupported
bar in a horizontal machine (Davis, 1988).
(0) (b)
o (cl)
Figure 2-1: Schematics of the cold heading on an unsupported bar in a horizontal
machine. (a) Head formed between punch and die. (b) Head formed in punch. (c)
Head formed in die. (d) Head formed in punch and die. (adapted from Davis, 1988)
High production rates, low labor costs, and materials savings grant cold heading a
productive and economical process. Not only is cold heading widely used to produce
fasteners, su ch as bolts, rivets and nuts, but it can also successfully and economically
4
form a variety of other shapes. According to part size, production rates range from about
2000 to 50 000 pieces per hour. Many parts traditionally manufactured by machining
have been produced with cold heading (Janicek and Maros, 1996). Advantages of the
cold heading process over machining of the same parts from suitable bar stock include
less waste material, increased tensile strength from cold working, and controlled grain
flow (Davis, 1988).
2.1.1 Properties and Manufacturing Procedures for Cold Heading
Quality (CH Q) Steel Wire
There are two distinct sets of properties required for cold heading quality materials. One
is good cold headability required for cold forming processes; the other involves the
properties relating to product end use (Matsunaga and Shiwaku, 1980). Good cold
headability requires the materials to be adequately soft and ductile to aid the operation,
while product specification usually requires higher yield strength. There is a trade-off
between them. For exampIe, increased carbon content in the steel results in increase of
yield strength but the impact properties and toughness are adversely affected
(Maheshwari et al., 1978).
The very nature of the cold heading process demands that cold heading quality steel wire
should possess an essentially defect-free surface, an internaI soundness, a coating with
excellent lubricating properties and a ductile microstructure (Muzaket et al., 1996;
Maheshwari et al., 1978). To meet these requirements, several sophisticated processing
steps need to be carried out during the production of CHQ steel wire, as shown in Figure
2-2 (Muzaket et al.,1996; Sarruf, 2000).
5
SPHEROIDIZING & ANNEALING
CLEARING & COA TING
Figure 2-2: Convention al procedure for the manufacturing of CHQ steel wire
(adapted from Sarruf, 2000)
2.1.2 Parameters for Cold Heading
There are man y processing parameters influencing cold heading processes. The main
parameters include strain rate and temperature during deformation, friction between die
and workpiece, and pre-draw prior to cold heading (Nickoletopoulos, 2000). In this work,
these processing parameters are taken into account during simulations of the cold heading
processes.
Cold heading is a high-rate deformation process, in which the average strain rates usually
exceed 100 S-l (Yoo et al., 1997). There is a considerable difference between mechanical
behavior at high strain rates and at quasi-static or intermediate strain rates; therefore, it is
necessary to de termine the mechanical properties, such as flow stress, strength, and
ductility, at the deformation rate close to the ones observed during actual cold heading
(Kuhn et al., 2000).
6
Due to the high production rates and high speed, cold heading is essentially an adiabatic
process (Nickoletopoulos, 2000). During the forming process, approximately 90 to 95%
of the mechanicai energy required is transferred into heat (Farren et al., 1925), and as
much as 400 degrees of temperature rise in a workpiece is observed during cold heading
(Osakada, 1989). The flow stress decreases with . . mcreasmg temperature
(Nickoletopoulos, 2000). At constant temperature, increasing strain rate increases the
flow stress (Dieter, 1984A).
Friction conditions between the die and workpiece have a large influence on metai flow,
formation of surface and internaI defects, load of the die, and energy requirements
(Kobarashi et al., 1989). Friction at the die-workpiece interface can increase the
deformation force and may result in non-uniform or Iocalized deformation and surface
bulging (Dieter, 1984A; Nickoletopoulos, 2000).
The effect of pre-draw on cold heading will be reviewed in next section.
2.2 Pre-Draw
2.2.1 Pre-Drawing Process
Pre-draw, a common practice in the manufacture of fasteners (Havranek, 1984), is a cold
drawing process performed after annealing and prior to cold heading.
In the wire drawing process, the cross-sectional area of a wire is reduced by pulling
through a die, the geometry of which determines the final dimensions, the cross-sectional
area of the drawn wire, and the reduction in area. To avoid fracture or unstable
deformation during the drawing process, the pulling force cannot exceed the strength of
7
the wire being drawn (Davis, 1988). Figure 2-3 illustrates a procedure for drawing of rod
or wire.
Nib height 10nun
Die
Figure 2-3: Drawing of rod or wire (adapted from Davis, 1988)
Bell alogie Min at-gIe~2>tapplO.ElChat-gle
Back Ielief90
Figure 2-4: Cross section of a typical wire die for drawing 5.5mm (0.218 in.) diameter rod to 4.6mm (0.18 in.) diameter wire (adapted from Davis, 1988)
As one type of forming process, wiredrawing is a complex interaction of such main
parameters as material properties (flow stress, modulus of elasticity, work hardening),
strain rate (drawing speed), lubricant (friction, coatings), reduction in area, die geometry,
8
and temperature during the drawing process (Shemenski, 1999). The resulting mechanical
properties of drawn wire are controlled by the interplay of all these many factors. Hence,
in this work they are all taken into consideration in finite element simulations.
Figure 2-4 shows a typical carbide-drawing die. As can be seen, there are four functional
zones in a drawing die. The first zone, the bell zone, where a lubricant is introduced and
is pulled into the die-wire interface by a moving wire, is the entrance of the die. The
approach zone is the second zone, where the wire is forced to contact with the drawing
cone along the approach angle and is plastically reduced into the dimensions of the third
zone, bearing area. No further reduction occurs in the bearing area, but final dimensional
control and surface finish are established here. The final zone is the exit zone
distinguished by the back relief angle (Davis, 1988).
It is important to notice that there are two key parameters about a drawing die, an
approach angle and drawing reduction in area. The approach angle (2a) is the included
angle between the two sides of the approach zone. This angle is usually expressed by the
semi-angle (a), which is the angle between one side of the approach zone and the
longitudinal axis of the die (Shemenski, 1999). The fraction al drawing reduction in area
may be expressed as: (2.1)
where Ao and A f are the original and finishing cross-sectional area of the rod
respectively.
Wright (1979) pointed out that the die semi-angle (a) and the reduction per die (r)
control deformation of a drawing process because they determine the shape of the
deformation zone in a conical drawing die. Both parameters are incorporated into the tl.
parameter:
9
1
~=(a)[1+(l_r)2]2 r
(2.2)
A low ~ value indicates a long defonnation-zone shape and increased die contact,
resulting in excessive frictional work and heat generation requiring optimum lubrication
and lower coefficient of friction (Shemenski, 1999).
There are many advantages in cold drawing wire before gomg into cold heading.
Pre-draw serves to improve dimension al tolerances and the surface finish of the final
product (Havranek, 1984). Cold drawn wire is stiffer, feeds better and shears cleaner. One
of the more important effects of wiredrawing is its influence on the cold heading limit
(that is, the maximum head diameter to which a wire diameter can be upset), which is an
indication of material formability during cold heading (Gill and Baldwin, 1964).
2.2.2 Effect of Pre-Drawing on Formability during Cold Heading
It has been weIl demonstrated by many researchers that the ductility of a material is a
strain-history dependent parameter (Rogers, 1962). Surface ductility is a function of both
strain history and steel type (Brownrigg et al., 1981). Due to the fact that pre-draw can
change the strain history of CHQ wire steel, it is reasonable to corne up with the idea that
pre-draw should have an effect on cold headability in subsequent cold heading operations.
In fact, many researchers have observed that wire drawing after process annealing can
increase ductility in subsequent cold heading operations.
Gill and Baldwin (1964) carried out tests to investigate the effects of pre-drawing on cold
heading limits by cold heading more than 8000 bolts of AISI 1335, a common cold
heading steel, to a range of head diameter expansions from wire that had been drawn to
various reductions in area with 7°, 15° and 30° dies. During their investigation, first, the
10
wire, which was judged to be of cold heading quality, was fully spheroidized and drawn
into the "ready to finish" diameters listed in Table 2-1. After being re-annealed, the wire
was pre-drawn to different reductions, as shown in Table 2-1, through polished carbide
dies with three different die angles on a drawing machine at 150 ft per min (0.762 mis).
Then the wire was upset in a single blow on a cold header with a hammer speed of
approximately 1000 inch per min (0.423 mis). The cold heading limit was defined as "the
greatest expansion in diameter that could be made on the wire without the appearance of
45 shear cracks in the head" (Gill and Baldwin, 1964).
Ready to Finish Final
Diameter (in) Diameter* (in)
7° die
0.157 (1) 0.139
0.165 (1) 0.139
0.179 (2) 0.139
0.211 (3)0.139
0.241 (4) 0.139
5° die
0.213 (1) 0.211
0.220
0.226
0.241
0.266
0.278
0.304
0.304
0.157
0.165
0.179
0.211
0.241
(1) 0.211
(1) 0.211
(1) 0.211
(1) 0.211
(1) 0.211
(2) 0.211
(3) 0.l79
30° die
(1)0.139
(1) 0.139
(2) 0.139
(3) 0.139
(4) 0.139
Reduction
in Area (%)
23
29
40
57
67
7
12
23
37
42
52
65
23
29
40
57
67
* Numbers ln parentheses indicate number of
drawing passes to go from ready to finish size to
finish size.
Table 2-1: Wire sizes for cold heading (adapted from Gill and Baldwin, 1964)
Il
The results are shown in Figure 2-5. According to this graph, for 15° dies, pre-draw
reductions ranging from 35% to 40% improve heading limits significantly from 2.2 to
2.6; for 7° dies, the greatest cold heading limits are obtained at about 40% reduction in
area; however, drawing through 30° dies reduces the heading limit when reduction in area
is beyond 25%. Gill and Baldwin suggested that a pre-drawing with about 35% reduction
in area, through dies with any die angle in the range of 12° to 20°, should be adopted in
order to obtain a significant improvement in cold heading limits.
2.8
2.6
2.4 ;!::
E 2.2 :::i C)
2 c "0 cu Q) 1.8 J: "0
1.6 (5 ------ ---- -
0 1.4
1.2
0 10 20 30 40 50
Reduction by Drawing, %
-.-7 degree
. -lll-15degree
~30degree
60 70
F' 2 5 C Id h d' l' , head diameter) d ' f 19ure -: 0 ea mg ImIt ( " versus percentage re uchon 0 area Wlre dwmeter
by drawing by 7°,15° and 30° dies (adapted from Gill and Baldwin, 1964)
Luntz (1969/1970) has carried out wire drawing on annealed B.S.311/1 and B.S.311/2
steels. After drawing, the wires that had received three different drawing reductions were
cut into billets with a length-diameter ratio of 1. These billets were then upset at a mean
strain rate of approximately 2 s -J using lubricated platens. The obtained results, true axial
strain at the onset of shear cracking versus reduction in area, are shown in Figure 2-6. It is
12
obvious that Wlre drawing can have a marked effect on ductility during subsequent
upsetting, and ductility increases with increasing drawing reduction in area in terms of
true axial strain at the onset of shear cracking.
1.6 -,----------------------'--..., -o ... 1.4 Q) III c: o Q) C)
~ .5 ... .:.:: 1.0
1.2
... (,) cu cu .50 0.8 cu L-
b cu en Q) 0.6 -~ cu en ')( 0.4 « Q) :::s 0.2 L-I-
0.0 -f-----r----r----r----,....---..,...------l
o 5 10 15 20 25 30
Reduction by Drawing, %
---+- B.8.3111/2
~B.8. 3111/1
Figure 2-6: Plot of fracture true axial strain versus pre-strain by drawing (adapted
from Luntz, 1969/1970)
Tozawa and Kojima (1971) conducted an extensive investigation into the effects of
pre-deformation on the cold headabilities of three alloys: S45C, Mn steel and 17S. The
mechanical properties of these materials are shown in Table 2-2. In this investigation,
drawing dies with three different die angles, 15°,30°, and 60°, were used. After rods were
annealed, they were pre-drawn through the drawing dies to reductions as high as 40% to
get a constant finish diameter of 8 mm. Lubricants were applied during the drawing
process. Then they were cut to aspect ratio of 1.5 and were upset between flat dies
without lubrication. Both the drawing process and the upsetting process were performed
quasi-statically.
13
Yield (MPa) UTS (MPa) Elongation at Reduction in Break, % Area, %
S45C 387.34 655.04 14.2 52
Mn steel 433.43 699.17 19.0 53 17 S 109.83 222.60 17.0 48
Table 2-2: Mechanical properties of three steels (adapted from Tozawa and Kojima, 1971)
83
81 ---- - ----------- -
79
?f? ~ 77 .t: C)
"CD :J: 75
.= r:: 73 0 .. CJ ::l
71 "C QI
0::: -+- Mn steel; 15 degree
69 --.- Mn steel; 30 degree
r--=~--------~----~ r~----~----~---~
--*- Mn steel; 60 degree
67 +-------~----~~--___j -'-178; 30 degree
-+- 845C; 30 degree 65
0 5 10 15 20 25 30 35 40 45
Reduction of Area, %
Figure 2-7: Effect of the reduction of area in drawing, A -A
o ft, on the upsetting Ao
ho -hfT limit, (adapted from Tozawa and Kojima, 1971) h
Figure 2-7 shows the effect of reduction in area by drawing on the upsetting lirnits for the
three rnaterials. For S45C and 17S, wires that are pre-drawn through 30° dies to around
15%-30% and 25%-35% reductions, respectively, have rnarkedly irnproved upsetability.
For the Mn steel, the upsetability of the wire drawn through 15° and 30° dies constantly
14
increases with increasing reduction in area, while the upsetability of the Wlre drawn
through 60° die reaches the lowest value at the reduction of 10% and increases steadily
beyond 20% reduction in area. At constant reduction, the effects of die angles on the
upsetting limits for Mn Steel and S45C are illustrated in Figure 2-8. It can be seen that a
15° die produces the maximum improvement in upsetablility for both materials, which is
in agreement with Gill and Baldwin's findings.
-;;e. .;-
80
78
76
"§, 74 "a;
72 :J: c 70 c 0 68 ~ u 66 :l
"t:J CI)
0::: 64
62
60
0 15 30 45
Die Angle (degree)
60
-0--Mn Steel reduction 10%
- - - - - - Mn steel annealed
-0-S45C reduction 8%
- - - - S45C annealed
Figure 2-8: Effect of approach die angle at constant reduction on the reduction in
height for two steels (adapted from Tozawa and Kojima, 1971)
Figure 2-9 shows the curves of average stress versus average strain in upsetting for the
wire of S45C without pre-draw and with pre-draw of 20% and 40% reductions through a
30° die. It can also be seen that with increased reductions in pre-drawing, initial yield
stress increases, whereas work hardening rates decrease. Figure 2-10 illustrates the
comparison of the curves of average stress versus average strain in upsetting for Mn steel
wire pre-drawn with 40% reduction through 15°, 30° and 60° dies. The result
demonstrates that increasing die angle increases average flow stress, while hardening
rates remain unchanged since the curves are almost parallel.
15
140~----------------------------------------------------------~
120 Ci c.. ~ 100- .... --.-... -.-II) II)
e _ 80 en ni ')( 60 « QI C)
~ 40 -QI > «
20
--e- 40% reduction in area
--- -e-20% reduction in area
-b:- 0% redcution in area o~----~------~----~----~~--~~====~======~
0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4
Average Axial Strain
Figure 2-9: S4SC. Average axial stress versus average axial strain for upsetting with
different reductions of area (adapted from Tozawa and Kojima, 1971)
160
Ci c.. :lE 120 1--II) II) 100 e -en ni 80
~ QI 60 C)
~
----- -.------_.- -_._----- -_._-----
------ .- -----_._- -----_._--- ----------
QI 40 _._-------- --- -_ .. ---_._-
~ -i3-15 degree
20 -~- -.-- -hi- 30 degree
~60degree
o~--~----~----~--~----~----~--~~==~~~ 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8
Average Axial Strain
Figure 2-10: Mn steel. Average axial stress versus average axial strain for upsetting
with 40% reduction of area (adapted from Tozawa and Kojima, 1971)
16
2.2.3 The Bauschinger Effect
To study the plastic behavior of metals, it is important to notice that a phenomenon called
the Bauschinger effect occurs in metals whenever there is a reversaI of loading applied
after a previous plastic straining (Chakrabarty, 1987). The Bauschinger effect is a
phenomenon in which a material, after plastic pre-straining, develops a reduction in yield
strength on reverse loading in comparison with that reached on the continuing forward
loading (Chakrabarty, 1987). Figure 2-11 illustrates the Bauschinger effect.
o
Figure 2-11: Schematic Bauschinger effect curve
The solid curve in Figure 2-11 shows the true stress versus strain curve of a specimen of a
typical metal material in simple tension. If after being completely unloaded from a tensile
plastic state, represented by the point A, the specimen is reloaded in simple compression.
The resulting path will follow the curve ABCD, where the yield strength at the new yield
point C is smaller in magnitude than that at A. This phenomenon is called the
Bauschinger effect. In the figure, the line AG is reflected in the reverse quadrant EF so
that permanent softening, ~(), can be defined, which is the indication of the Bauschinger
effect.
17
Havranek (1984) has studied the effect of pre-drawing on strength and ductility in cold
forging of two commercial steels, which were AISI K1020 and AISI K1040. In his
research, rods of the two materials with 13 mm diameter, in both as-rolled and
spheroidize annealed conditions, were cold drawn by 6%, 15% and 29% reductions in
area through dies with included angle of 16°. The drawing was carried out with
lubrication at a drawing speed of 0.27 ms· l. Then specimens, with 10 mm in diameter and
15 mm in height, eut and machined from the drawn rods, were compressed under nearly
homogeneous conditions. In addition, to evaluate the ductility of the materials, a long
cyl indri cal specimen of 10 mm in diameter was expanded by pushing it through a die into
a cavity, because simple compression was insufficient to produce fracture. The true stress
versus true strain curves during the homogenous compression for K1020 in the as-rolled
condition are shown in Figure 2-12, in which the redundant strain has been neglected.
1000 1: .2 1/) 900 1/)
~ Q. 800 E ou ca 1: 0.. 700 "- :i!E 1/)-1/) ~ 600 -en ~ 500 ... 1-
---cr- As rolled
-0-6%
-I::r-15%
-X-29%
400+-~--~--~--~~--~--~~--~--~~
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1
True Strain in Compression
Figure 2-12: The effect of pre-drawing on strength in compression. Material K1020.
Only the homogeneous drawing strain is shown (adapted from Havranek, 1984)
The curves in Figure 2-12 were replotted from the same origin in Figure 2-13. Figure
2-14 to Figure 2-16 present the replotted true stress versus true strain curves during the
homogenous compression for K1020 in the spheroidize anneal condition and K1040 in
18
both the as-rolled and spheroidized annealed conditions. It can be seen that a strong
Bauschinger effect occurred in aIl pre-drawn rods as indicated by the permanent softening
~(J'. Moreover, the Bauschinger effect becomes stronger as pre-drawing reduction
increases; therefore, the deformation work represented by the area under the curves
decreases.
'i 1000
::!: -c 900 o in 1/) CI) ... c-E o
C,.)
c
800
700
1/) 600 1/) CI) ... ... en CI) :::l
500
-<>- As rolled
-X-6%
-â-15%
-<>-29%
~ 400+---,---~~--~--~--~--~--~--~--.
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
True Strain in Compression
Figure 2-13: The effect of pre-drawing on strength in compression. Material KI020.
(adapted from Havranek, 1984)
1000 c .2 1/) 900
ë Co 800 E o
C,.) IV C a.. 700 .- ::!: 1/)-
g: 600 b en CI) 500 :::l ... 1-
-0-As spheroidized
-0-29%
400+---~--~~--~--~--~--~--~--~--~~
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1
True Strain in Compression
Figure 2-14: The effect of 29% pre-drawing on strength in compression. Material
KI020, spheroidized 700°C124h (adapted from Havranek, 1984)
19
_ 1100 CV Il.. ~ 1000 c .2 1/) 900 1/)
f Cl. 800 E o (.) 700 c
~ 600 f ... ~ 500 :::l L-
I-
-o-As rolled
-t::r-6%
--+-15%
~29%
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
True Strain in Compression
Figure 2-15: The effect of pre-drawing on strength in compression. Material KI040
(adapted from Havranek, 1984)
900
g 850 ïii 1/) 800 Q)
C. 750 E o -100 (.) cv .!: ~650 1/) -600 1/)
f 550 ... CI) 500 Q)
2 450 1-
-0-As spheroidized
-0-29%
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1
True Strain in Compression
Figure 2-16: The effect of 29% pre-drawing on strength in compression. Material
KI040, spheroidized 700°C/24h (adapted from Havranek, 1984)
Figure 2-17 and Figure 2-18 illustrate the fracture limit diagrams for K1020 and K1040 in
the as-rolled and spheroidize annealed conditions. From these diagrams, Havranek
20
concludes that the fracture limit of a pre-drawn rod is higher than a rod in the original
as-rolled and/or spheroidized conditions, and increases with the increasing pre-drawing
reduction in area.
1.5 -.---------------....,
c ·f .... tn 1.0 1\1 +' C al .. ~ E 0.5 ::::s CJ ... (3
0.0 +-----,.---------r------l 0.0 0.5 1.0 1.5
Axial Strain
~K1020 as-rolled and drawn 29%
-II- K 1020 as-rolled
--fr- K1 040 as-rolled and drawn 29%
-*- K1 040 as-rolled
Figure 2-17: Fracture limits in KI020 and KI040 determined in the support upset
tests (adapted from Havranek, 1984)
C
1\1 ... .... tn 1.0 iii +' c ~ .! E 0.5 ::::s CJ ... (3
0.0 +-----,------.,------1 0.0 0.5 1.0 1.5
Axial Strain
~ K1020 spheroidized and drawn 29%
-II- K1 020 spheroidized
--fr- k1 040 spheroidized and drawn 29%
-*- K1 040 spheroidized
Figure 2-18: Fracture limits in spheroidized KI020 and KI040 determined in the
support upset tests (adapted from Havranek, 1984)
21
2.3 Cold Headability and Ductile Fracture Criteria
Fracture is the failure of a workpiece under load. It can be either brittle fracture or ductile
fracture. In metal forming processes, failures are classified into two typical types of
cracks (Jenner and Dodd, 1981):
(i) Free surface cracks during processes such as upsetting, bending and rolling etc.
(ii) InternaI cracks, such as arrowhead cracks in extrusion and drawing.
AlI of these typical cracks are caused by ductile fracture mechanisms (Jenner and Dodd,
1981), rarely by brittle fracture. Therefore, the occurrence of ductile fracture is a major
limitation governing the limits of formability during metal forming processes. In the cold
heading process, failures can be free surface cracks due to exhaustion of the material
ductility as weIl as internaI cracks caused by the adiabatic shear band (ASB) phenomenon
(Okamoto et al., 1973). The aim of this work is to examine the cold headability or
formability in terms of free surface cracks during the cold heading process. Hence, in the
context of this work, cold headability or formabilty can be defined as the ability of a
material to be cold headed without free surface cracks. The cold headability is a function
ofboth material properties and process parameters (Rao et al., 2003).
It has proved to be difficult to determine a general law for fracture criteria of metals
because the criteria depend on various variables, which are difficult to quantify
experimentally. Therefore, various fracture criteria have been proposed in the literature to
predict the initiation of ductile fracture. According to Rao et al. (2003), the fracture
criteria can be broadly categorized in two groups: empirical and semi-empirical. The
empirical criteria include the strain-based criteria and stress-based criteria. A fracture
locus and a stress formability index are applications of strain-based and stress-based
criteria, respectively. The semi-empirical criteria consist of two approaches: the
22
macromechanical approach (cumulative plastic energy models) and the micromechanical
approach (void coalescence models).
2.3.1 The Macromechanical Approach to Ductile Fracture
The Macromechanical approach involves integrating plastic energy of deformation along
the strain path for the possible failure material points in a workpiece and developing a
ductile fracture criterion by incorporating the calculated plastic energy. The
implementation of the approach requires accurate calculations of stress and strain fields
throughout the deformation process until failure occurs. The development of finÏte
element software for large deformation plasticity has made it possible to accurately
simulate the metalworking processes and predict the required stress and strain
distributions during the deformation processes. Therefore, a ductile fracture criterion
based on the macromechanical approach in conjunction with the use of FEM and the
verifications of workability experiments has become a promising technique in predicting
the occurrence of ductile fracture (Rao et al., 2003).
The typical ductile fracture criteria based on the macromechnical approach postulate that
ductile fracture initiates at a material point in a workpiece when the accumulated plastic
energy reaches a critical value. The criteria can be written in a general form as (Bao and
Wierzbicki,2oo4):
if!
fF(cJij)de P =Co (2.3) o
where
F (0 ij) = a function of actual stress state
Co = material constant
23
l P = equivalent plastic strain
II = equivalent plastic strain to fracture
Many successful criteria belong to the class defined by equation (2.3).
Frudenthal (1950) supposed that fracture occurs once the strain en erg y reaches a critical
value, 'CI':
El
fdde r =CI
o (2.4)
Recognizing the coupled role of tensile stress and plastic strain III inducing ductile
fracture, Cockroft and Latham (1968) have suggested that for a given material,
temperature and strain rate, fracture will occur when the work done by the maximum
tensile stress, '0 l " reaches a cri tic al work energy density value, 'C 2 ' •
(2.5)
A modification to Cockroft and Latham criterion (equation 2.5) was proposed by Brozzo
et al. (1972), who point out that the stress function depends on the level of both the
largest principal stress, 0 l ' and the hydrostatic stress, 0 m :
(2.6)
In terms of the ratio of the maximum tensile stress to the equivalent stress, Oh et al.
(1976) introduced a fracture model:
24
(2.7)
2.3.2 The Micromechanical Approach to Ductile Fracture
The micromechanical approach attributes fractures in metalworking to the effects of
inclusions, microvoid nucleation, growth and coalescence. This approach provides
valuable insight into the fundamentals of damage evolution and is verified by
experiments. However, due to the numerical instabilities and difficulties in obtaining the
necessary material constants, the micromechanical approach is difficult to apply (Behrens
et al., 2000).
One of the examples of this type is proposed by Oyane et al., (1980). According to the
Oyane criterion, the development of inclusions into ductile fracture occurs when total
volumetrie strain reaches a critical value, which is material dependent. This criterion is
expressed as:
(2.8)
where
AI and C 5 = fracture criteria constants
o m = hydrostatic stress
o = equivalent stress
In this criterion, the effect of tensile stress triaxiality ( 0 m / 0 ) is taken into account. For
a particular material, two material constants (AI and C 5) can be determined through
25
experiments in conjunction with finite element method simulations of the experiments.
Oyane et al., (1980) has successfully applied this criterion into simple upsetting tests with
different workpiece geometries and friction conditions.
2.4 Constitutive Relations
In continuum mechanics, a constitutive relation is a law that approximates the observed
physical behavior of a real material under specifie conditions of interest (Hozapfel, 2000).
The mathematical expressions of a constitutive law is called a constitutive equation,
which enable us to specify the stress components in terms of other field functions such as
strain and temperature. Therefore, to determine the response of a material of interest, an
adequate constitutive equation for the material is necessary.
The constitutive relations for plastic behavior of a material consist of three parts
(Mendelson, 1983): a yield criterion that defines the initial plastic response of the material,
a flow rule that relates plastic strain increments to stress increments after initiation of the
plastic response and a hardening rule that predicts changes in the yield surface due to the
plastic strain. In general, the yield criterion is demonstrated as a convex surface, which
initially contains the origin of a stress space. For metals, the most common yield surfaces
are those of von Mises and Tresca . The well-defined flow rule is the associated flow rule
due to von Mises. According to different hardening rules postulated in literature, the
constitutive relations can be classified as isotropie hardening material models, kinematic
hardening material models and combined kinematic/isotropic hardening material models.
26
2.4.1 Isotropie Hardening Material Models
Neglecting the anisotropy of a materiaI and the Bauschinger effect developed during
plastic pre-straining, the isotropie hardening rule assumes that the yield surface uniformly
expands without change in shape in stress space, and for the conditions of loading, under
which all strain rate and thermal effects can be neglected, the current flow stress is either
a function of total plastic work per unit volume (the first hypothesis) or a function of a
certain measure of total plastic strain (the second hypothesis) as expressed by the
following equations (Chakrabarty, 1987):
The first hypothesis:
The second hypothesis:
where
a = equivalent stress, effective stress or flow stress = ~~ sijs!)
sij = components of a deviatoric stress tensor = aij -.!.(all + (J22 + (J33)Oij 3
tJij = the Kronecker delta whose vaIue is unit y when i=j and zero when i* j
a ij = components of a stress tensor
dE: = components of a plastic strain increment
de P = ~ de: de: = equivalent plastic strain increment
(2.9)
(2.10)
27
The yield criterion defines the limit of elastic behavior under any possible combination of
stresses. It is independent of a hydrostatic pressure (Chakrabarty, 1987). For isotropie
hardening, the elastic limit is expressed as (Chen, 1994):
j(o,k)=O (2.11)
where the function j is called a yield function, surface of f = 0 is called a yield surface,
° is a stress tensor, and k is a material constant.
For isotropie hardening models, the von Mises criterion is a well-defined and widely used
yielding criterion. The yield surface for this criterion is a cylinder in stress space. It is
mathematically expressed as:
(2.12)
where
y = the yield stress in uniaxial tension (or compression)
With the von Mises yield criterion, the isotropie hardening rule reduces to a description of
the yield surface through the evolution of a single positive scalar quantity, the flow stress
or the equivalent stress (Dabboussi, 2003).
It can be seen that the isotropie hardening rule contradiets the Bauschinger effect, because,
according to the isotropie hardening rule, after plastic pre-straining, the yield strength on
the reverse loading will be the same as that on the continuing forward loading. In Figure
2-18, for example, the stresses represented by points A and C should be the same in
magnitude in terms of the isotropie hardening rule. Moreover, the fact that only squares of
stresses and stress differences are involved in equation (2.12) implies absence of the
Bauschinger effect (Chakrabarty, 1987).
To correctly describe the material behavior of a material under loading conditions during
28
dynamic events such as metal forrning processes, hardening models should take into
account effects of strain, strain rate and temperature. In general, more complicated models
can give a more realistie approximation of material response. However, no models are
universal for every material; different materials need different models to get a better
approximation ofthe material behavior (Johnson and Cook, 1983).
The Johnson-Cook model (Johnson and Cook, 1983) is an isotropie hardening model,
which is primarily intended for the purpose of computations. With the von Mises yield
criterion, the model is expressed as
where
(5 = [A + B(e p r](1 + Cln.f)(1- T"m)
o = von Mises equivalent stress
E P = equivalent plastic strain
-'-p
f* = ~ = dimensionless equivalent plastic strain rate for Éo= 1.0 S-I ë o
t P = equivalent plastic strain rate
normalized temperature
T = CUITent temperature
Tme't = melting tempe rature of the material
To = reference temperature
A , B, n, C and m = five material constants.
(2.13)
In this model, the von Mises equivalent stress is expressed as a function of the equivalent
plastic strain, equivalent plastic strain rate, and temperature, and the three corresponding
terms in the equation are uncoupled. The first term of (2.13) represents the flow stress as
29
a functÏon of strain hardening for É * = 1 and r* = 0, while the second and third terms
represent the strain rate hardening and thermal softening effect, respectively (Johnson and
Cook, 1983).
2.4.2 Kinematic Hardening Material Models
In order to account for anisotropy and the Bauschinger effect exhibited by real materials,
Prager (1955) proposed a hypothesis of a kinematic hardening rule. According to the
hypothesis of a kinematic hardening rule, the yieId surface of an originally isotropic
material is assumed to translate in stress space without any change in its initial shape and
orientation during plastic deformation, and the direction of the incremental translation of
the yieId surface is the same as that of the plastic strain increment, nameIy, the direction
of the exterior normal of the yield surface at the CUITent stress point according to the
associated flow rule.
If the initial yield function is expressed as 1 (0, k) = 0, where k is a material constant,
according to Prager 's hardening ruIe, the current yield function is given by:
1[(0 -a),k] = 0 (2.14)
where a is a symmetric tensor usually called the backstress tensor denoting the
resulting displacement of the yield surface at any stage of the deformation. Because the
deviatoric part of a is not necessariIy zero, the material becomes anisotropic as a result
of the hardening process. Therefore, the kinematic hardening ruIe, due to Prager, assumes
the form expressed as:
30
(2.15)
where c is a material scalar quantity, daij and de: are the incremental components of
the backstress tensor and plastic strain tensor. Due to the plastic incompressibility of
metals, that is de,~ = 0, where i = 1,2,3, we have daii = cdet = 0 , which indicates that
d d dev dev a= a or a=a . (2.16)
where a and a dev are the backstress tensor and the deviatoric backstress tensor,
respecti vel y.
When c is a constant, the plastic hardening becomes linear work-hardening with a
plastic hardening modulus of H = ~c, and the sum of the yield stresses in tension and 2
compression is equal to twice the initial yield stress (Chakrabarty, 1987).
Ziegler (1959) made a modification to the Prager's hardening rule by assuming that the
direction of translation of the yield surface is in the direction of the line connecting the
center of the yield surface to the CUITent stress point. It is expressed as (Chakrabarty,
1987):
(2.17)
where dJ1 is a positive scalar. Due to the condition that the stress point remains on the
yield surface, dJ1 is determined:
dŒijde; df.1 = ----'-----"-
(Œkt - a kl )de{, (2.18)
If the initial yield surface is that of von Mises, the two hardening mIes coincide because
31
the direction of the plastic strain increment coincides with that of the line connecting the
center of the yield surface to the CUITent stress point, and the CUITent yield function
becomes:
f k 3 S dev S dev ) y 3 dev dev ) y 0 2 19) [(a-g),]= 2"c-a ):C-g - = 2"(sij-aij )(sij-aij - = (.
where S and a are the deviatoric stress tensor and the deviatoric backstress tensor
respectively.
Both Prager's and Ziegler's kinematic hardening rules can only roughly describe the
Bauschinger effect with a single material scalar quantity (Chun et al., 2002). Due to
Prager, the translation of the yield surface represents the strain path, while due to Ziegler,
it generally does not. The two hardening rule coincide in uniaxial tension and
compression and in the simple and pure shear (Chakrabarty, 1987).
2.4.3 Combined Kinematic/Isotropic Hardening Material Models
Realizing the limitation of both isotropie hardening and kinematic hardening rules on the
ability to account for the Bauschinger effect, researchers proposed a more realistic
hardening rule combining the two hardening rules to describe the material behavior under
reverse Ioading conditions (Chakrabarty, 1987). According to this hardening rule, the
yield surface simultaneously undergoes both translation and expansion during hardening
processes. Therefore, the combined hardening rule includes two parts: a kinematic
hardening part, which de scribes the translation of the yield surface in stress space through
the backstress, a, which can be linear or nonlinear; the isotropie hardening part, which
describes the expansion of the yield surface and defines the size of the yield surface as a
function of the plastic deformation. According to the combined hardening rule, the current
32
yield surface is given by:
f[(a - a),a 'SO] = 0 (2.20)
where 0 isa is a function of the total plastic deformation defined in equation (2.10) and
represents a measure of the size of the yield surface.
If the yield surface is that of von Mises, then equation (2.20) becomes:
f [ ( a - a_), a ISO] = l (S - a dev) : (S - a dev) - a iso = 0
2 - - --
where
In the case of monotonie simple tension, the combined hardening mIe reduces to:
. 3 da ,sa = da --cde P
2
where do and dt P are the increment of uni axial stress and uni axial plastic strain.
(2.21 )
(2.22)
(2.23)
In uniaxial tension, dE P = dt P • Let do = l h ,where h is a material scalar quantity. dEP 2
Then the plastic hardening modulus is:
(2.24)
where h and c are measures of the isotropie part and the anisotropie part of the plastic
hardening modulus, respectively. When h and c are constant, then the plastic hardening
modulus is constant, implying a linear strain-hardening mIe. Due to the freedom of h
and c, they may be assumed as functions of the variables of plastic deformation,
including arbitrary material constants to be determined from experiments (Ch akrab art y,
1987).
33
Various combined kinematic/isotropic hardening rules have been introduced by
researchers. A combined nolinear kinematic/isotropic hardening model used by
ABAQUS/Standard (HKS inc., 2004) is reviewed here: the evolution of the center of the
yield surface, i.e. the kinematic part of the model, is defined as:
(2.25)
where Cz and Î z are material scalar quantities, and C denotes the rate of change of Cz
with respect to tempe rature and field variables. The first term in equation (2.25) is the
contribution from Ziegler's hardening rule, which defines that the rate of ~ due to plastic
straining to be in the direction of the line connecting the center of the yield surface to the
current stress, namely, 0 - ~; the second term implies that the rate due to temperature
change is toward the origin of stress space; the last term introduces the nonlinearity in the
hardening rule.
The isotropic part of this model defining the size of the yield surface is assumed to be a
function of equivalent plastic strain -gP, temperature T, and field variables 1;:
2.4.4 Flow Rules
The flow rule defines the relationship between the plastic strain increment and the stress
increment. In general, the plastic strain increment is defined in the form:
(2.26)
34
where the function g is called the plastic potential defining the ratios of the components
of the plastic strain increment (Chakrabarty, 1987); d is a positive scalar.
Assuming the identity of the plastic potential g and the yield function l , the associated
flow rule is obtained as:
dê P = al d lJ a O"ij
(2.27)
Based on von Mises' maximum work theorem, the associated flow implies that the
direction of the increment of plastic strain follows that of the exterior normal at the any
point on the yield surface with a uniquely defined normal (Chakrabarty, 1987).
2.5 Numerical Simulations of Metal Forming Processes
With the development of FEA technology, numerical simulations have been used as an
efficient engineering tool to analyze and optimize metal forming processes, resulting in
lower costs, reduced development time, and improved quality. The common industrial
applications of numerical simulations into forming processes involve predicting material
flow, geometry of final products, die stresses and crack formation (Walters et al., 2005).
2.5.1 Numerical Simulations of Drawing Processes
As early as 1982, Brandal et al. developed a computer program based on the finite
element method to calculate the evolution of plastic flow and the stress-strain distribution
in the interior of the wire during passage through the die. Parameters describing
35
stress-strain relations and presenting the drawing process were used as numerical input
data. Renz et al.(l996) studied the effect of die geometry, back-pullloads and geometries
of raw material on material flow and residual stresses during wiredrawing processes using
the finite element method. The results of their study showed that FEM is a helpful tool for
optimization of drawing processes. By conducting several finite element simulations with
the commercial software called DEFORM, Vijayakar (1997) analyzed the influence of
thermal gradients within the wire on residual stresses during the drawing process.
Experimental work proved to be difficult to accurately measure residual stresses, whereas
finÏte element modeling is capable of calculating the stress distribution in detail during
each stage of the drawing process. Zhao et al. (1998) performed an application in
wiredrawing making good use of the finite element method to study the evolution of
voids in the continuous cast rod. In their work, a commercial software package was used
to simulate wiredrawing as an axisymmetric process with the rod modeled as an isotropic
material. The discrepancy between the results of the simulations and those of the physical
experiments and the resulting anisotropy from the drawing process suggested that
modeling the rod as an anisotropie material should give doser results to those of the
physical experiments. Shemenski (1999) investigated the effect of lubrication and die
geometry on wiredrawing process using the DEFORM software package. Numerical
simulation for the drawing of an AISI carbon steel wire in 13 passes to a total 94.5%
reduction in area was carried out. The flow stress of this carbon steel was assumed to be
isotropic and expressed as a function of strain, strain rate, and temperature; frietion
coefficients of 0.10 and 0.30 were selected. The result of this work showed that there
were no major differences in stress levels or resulting gradients for combination of
entrance angle, approach geometry, and coefficient of friction used in the FEA
simulations. He et al. (2003) conducted a study on the residual stress in cold drawn wire
of low carbon steel by means of three-dimensional elasto-plastic fini te element method
(FEM) analysis and X-ray diffraction. Instead of the isotropic von Mises yield criterion, a
texture-based anisotropic yield locus was applied to the three-dimensional mode! to
36
simulate the process and calculate the residual stress. Good agreement between
experimental data and computation al results were reached. Camacho et al. (2005) studied
the influence of back-pull in the drawing process by means of the finite element software,
ABAQUS/Standard. The drawing process for different values of back tension was
simulated under the assumptions that the material behavior of an aluminium alloy is rigid
perfectly plastic, and the Coulomb friction coefficient equals to 0.1. The results from the
simulation are similar to experimental data.
2.5.2 Numerical Simulations of Cold Heading Processes
Numerical simulations have been successfully performed in analysis and optimization of
the deformation process during upsetting by researchers. Roque and Button (2000)
simulated an upsetting process by means of a commercial general fini te element software,
ANSYS. In their work, the stress-strain response, the material flow during the simulated
stage, and the required forming force obtained by experiments were used as numerical
model input data and to validate the numerical models. The blank steel was modeled as the
multilinear el asto-plastic material; contacts between the dies and the blank were modeled
by the Coulomb law with a penalty method. It was demonstrated that numerical prediction
of the final shape, flow stress, and the stress field were in good agreement with the
experimental results. Luo et al. (2000) simulated the upsetting of cylindrical billets between
rough plate dies as a typical thermomechanical coupling process. The effects of upsetting
speed and initial temperature of billets on the upsetting process were demonstrated by the
simulations. To assess the formability of a medium-carbon cold heading steel 1038,
Nickoletopoulos (2001) simulated the drop weight test (an upsetting process) by a
commercial finite element package, FORGE2. The steel was taken to be an
elastic-rigid-plastic material, and the friction parameter was determined to be 0.13 by the
friction ring test. The ductile fracture criterion proposed by Cockroft and Latham was
37
evaluated using FEM simulations, and proved to be valid for upsetting in cold heading. Hu
et al. (2004) studied the pressure distribution on a die surface during an upsetting process
by finite element method simulation. The simulation results were basically consistent with
those of validation experiments. They concluded that the pressure distribution on the die
surface during the upsetting of a cylinder is non-uniform, and the friction factor has an
important influence on the total upsetting force.
2.5.3 Numerical Simulations of the Fastener Manufacturing Process
Petrescu et al. (2002) simulated the fastener manufacturing process, which includes wire
drawing followed by subsequent multistage cold forming. In their work, the finite element
software package FORGE2 was used, and a physical simulation test was developed to
provide the necessary data for the numerical model. To accurately simulate the typical
procedures employed in the fastener manufacturing process, the wire drawing with three
passes was simulated first followed by the simulation of the subsequent cold bulging
process. For both the drawing and bulging processes, the workpiece material, 51B40 steel,
was simulated as an elastic-plastic material, linear in the elastic domain and isotropic in
the plastic domain. Hensell-Spittel's law was used to de scribe the flow stress, and friction
between the material and dies was assumed to obey Coulomb's law. In the drawing
simulation, the material rheology at the end of the simulation of each drawing pass was
saved and then incorporated into the simulation of the next drawing pass. In the bulging
simulation, the material rheology from the last drawing pass was incorporated. The final
results show that the final billet geometry from the numerical model agree weB with that
produced by the bulging test; the location of fracture observed during the bulging test
correlates with the area of high ho op stress in general, which complies with the damage
model developed by Cockroft and Latham.
38
3 Model Development
In this chapter, the mathematical background is presented in five main parts. The first part
describes the fracture criterion determination. The second part presents the selected
Johnson-Cook isotropic hardening model and the identification of the corresponding
material constants. In the third part, a new combined linear kinematic/ nonlinear isotropic
hardening model is proposed and derived. A user subroutine VUMAT, which is used as
an interface to specify the new material model in the finite element software
ABAQUSlExplicit as weIl as user subroutine UMAT, which is used as an interface to
specify a linear elastic material model in the finite element software ABAQUS/Standard,
are developed in the fourth part. Finally, the verification of the VUMAT is presented in
the fifth part.
3.1 Failure Criterion Determination
Successful application of the Cockroft and Latham criterion to the prediction of fracture
in different tests, such as tensile, torsion, bending and extrusion tests, showed that the
Cockroft and Latham criterion is capable of predicting the fracture under complex stress
conditions (Cockroft and Latham, 1968). Jenner and Dodd (1981) concluded that the
Cockroft-Latham criterion is not only accurate enough to predict the onset of surface
cracking in cold upsetting, but also simple and intuitively correct. Research has also
suggested that the Cockroft and Latham failure criterion is amongst the best for practical
applications (MacCormack and Monaghan, 2002). This criterion has been used to predict
fracture in processes such as extrusion, drawing, rolling and upsetting.
In the current work, the macromechanical approach to ductile fracture was used, and the
Cockroft and Latham criterion was chosen. This criterion, equation (2.5), states that for a
given material, temperature and strain rate, fracture will occur when the work done by the
maximum tensile stress accumulates a critical work energy density value, "C2 ".
39
Cf
fC7 deP = c 1 2 (2.5) o
where 0 1 is the maximum tensile principal stress, lP is the equivalent plastic strain, II
is the equivalent plastic strain at failure. When there are only compressive stresses, 0 1 is
set to zero, and fracture does not occur.
For cold heading applications, the critical Cockroft and Latham constant, "C 2 ", is
determined by using a drop weight compression test (DWCT) (Nickoletopoulos, 2000). In
this test, the cri tic al height to fracture for specimens of a material with different aspect
ratios is obtained. Finite element simulations of the experimental tests are performed to
compute the Cockroft and Latham parameter for each specimen at its critical height to
fracture. These values expected to be approximately the same for any partieular material
regardless of the different aspect ratios, are then averaged. The average value is regarded
as the critical Cockroft and Latham constant and used as a threshold to assess the
potential for the initiation of fracture.
3.2 Identification of the Corresponding Material Constants for
Johnson-Cook Hardening Model
In the CUITent work, the widely used Johnson-Cook isotropie hardening model, equation
(2.13), is selected in order to compare the results of fini te element simulations with the
isotropie hardening model and those with the combined isotropic/linear kinematic
hardening model proposed in next section.
3.2.1 Typical Procedures to Determine the Corresponding Material
Constants for the Johnson-Cook Hardening Model
In equation (2.13), the constants in the first set of brackets, A, B, and n, are usually
determined from the data of quasi-statie tension tests or quasi-static homogenous
40
compression tests on samples of the material at room temperature. Since quasi-static tests
are performed at a very low strain rate and at room temperature, the effect of the thermal
softening is negligible. Assuming the strain rate is 0.002s-' , we have:
a = [A + B(tPt][1 + Cln(0.002)] = A* + B* CEPt
where A* = A[I + C In(0.002)] and B* = B[I + C In(0.002)].
(3.1)
A* is the yield stress at the strain rate of 0.002 S-I and can thus be determined directly
from the true stress-strain curve obtained from the quasi-static test. Then, B* and n can
be found by either a nonlinear regression analysis of the true stress-strain curve in the
plastic zone, or alternatively a linear regression analysis after re-writing equation (3.1) as:
(3.2)
The curve of ln( a - A *) verses InCE P) is linear with the slope n and intercept ln B* .
The values of A* and B* , which are determined from the quasi-static tests, are for the
strain rate of 0.002 S-I or E * = 0.002 S-I , therefore, the y must be adjusted for the strain rate
of 1.0 S -1 to obtain the values of A and B . Thus
A* A=-----
1 + C In(0.002)
B* B=------
1 + C In(0.002)
where C will be determined later.
(3.3)
(3.4)
To determine the parameter m, quasi-static tensile tests over a range of temperatures
need to be performed. m can be determined by performing a nonlinear regression
analysis on the curve of the thermal softening fraction, KT , versus normalized
temperature, T* , taken from the data of the tensile tests. KT is the ratio of the stress at
elevated temperature to that at the room temperature at the quasi-static strain rate, and
expressed as:
41
K = [A+B(&"pr](l+Clnt*)(l-T*nI) =l_T*nI
T [A + B(&"P)](l + Clnt*)(l- 0) (3.5)
To determine the parameter C, substituting equations (3.3) and (3.4) in equation (2.13),
we have:
- [A* B* (-p)n](1 Cl ·*)(1 T*nI) (j = + ê + nê -1 + C ln(0.002) 1 + C ln(0.002)
(3.6)
The only unknown in equation (3.6) is C, which can be found similarly by a nonlinear
regression analysis about the curve of equivalent stress, 0 , versus strain rate Ë obtained
from the data of dynamic Hopkinson bar tensile tests. Once C is determined, A and B
can therefore be determined.
3.2.2 Determination of the Corresponding Material Constants for the
Johnson-Cook Hardening Model in this Work
110
100 -----
90
N E E -C)
~ 70 -II) II) Cl) 60 ... -en
50
40 ---- -
30 0.0 0.1 0.2 0.3
Strain
-.e.- Mn steel; compression
-+- Mn steel; tension
. -- --a- S45C; compression
-b- S45C; tension
0.4 0.5 0.6
Figure 3-1: Stress versus strain in simple tension and compression tests (adapted
from Tozawa and Kojima, 1971)
42
In the current work, material constants for the Johnson-Cook hardening model for S45C
and Mn steel are determined. The mechanical properties of the two materials (Tozawa
and Kojima, 1971) are shown in Table 2-2. The stress versus strain curves of the
materials in simple tension and in compression (with friction) from the literature are
shown in Figure 3-1. They are replotted in the plastic zone in Figure 3-2.
1100
1000
900
n; 800 C. :::!: -1/) 700 1/) G) ... - 600 U)
500
400
300
0 0.1 0.2 0.3
Plastic Strain
.... ~ Mn steel; compression
-+- Mn steel; tension
-e- S45C; compression
-fs- S45C; tension
0.4 0.5 0.6
Figure 3-2: Stress versus plastic strain in the simple tension and compression tests
materials A* [MPa] B* [MPa] n Coefficient of Multiple
Determination (R 2 )
S45C 387.34 2265.30 0.79 0.98
Mn steel 433.43 1098.02 0.49 0.99
Table 3-1:Values ofmaterial parameters obtained from tension curve fitting
To find values of A* , B* and n for the two materials, the stress versus plastic strain
curves in simple tension tests from Figure 3-2 are considered. Both linear and nonlinear
regression analyses mentioned above are performed, and the nonlinear regression
analyses give a better fit. The values of material parameters obtained from nonlinear
43
regression analyses are given in Table 3-1. Figure 3-3 shows the stress versus plastic
strain curves ca1culated from the Johnson-Cook hardening model with the values of the
material parameters in Table 3-1 superimposed on the experimental ones. It can be seen
that, for the strain within 0.09, a good fit is observed for both materials when comparing
the tension results with those ca1culated with the Johnson-Cook hardening model.
800
700
_ 600 ni
Do :E 500 -fi) fi) 400 ~ -en 300
200
100
o 0.01 0.02 0.03
-- -+- S45C; Calculated trom Johnson-Cook
--- S45C; tension test in the literature
-&- Mn stee;calculated trom Johnson-Cook
---br- Mn steel; tension test in the literature
0.04 0.05 0.06 0.07 0.08 0.09 0.1
Plastic Strain
Figure 3-3: Comparison of the stress versus plastic strain curves calculated from the
Johnson-Cook hardening model with the corresponding values of the material
parameters obtained from tension curve fitting and those from tension tests in the
literature
To examine the tension curve fitting results for the strain beyond 0.09, the plot comparing
the stress versus plastic strain curves ca1culated from the Johnson-Cook hardening model
to those from the compression tests (with friction) in the literature (shown in Figure 3-2)
for both materials is shown in Figure 3-4. It is observed that when strain goes beyond 0.1
for S45C, and beyond 0.17 for Mn steel, the results calculated from the tension curve
fitting are increasingly higher than those from the compression tests. The stress in simple
compression (with friction) is larger than that in a homogeneous compression (without
friction) since the friction at the die-workpiece interface can cause non-uniform plastic
44
de formation and surface bulging, causing an increasing deformation force. Hence, for
strain beyond 0.1 for S45C, and beyond 0.17 for Mn steel, the results from the tension
curve fitting do not fit those from the homogeneous compression. In addition, Figures 2-9
and 2-10 show that the plastic strain at the end ofupsetting is in the range of 1.0 to1.7. To
simulate the process, a good fit in this range is required. There fore , the values of the
material parameters obtained from the tension tests are not suitable.
1600
1400
_ 1200 CG D. :E 1000 -1/)
1/) 800 ~ -U)
600+-;;;li~P:
400
200
o 0.1
- --.- S45C; calculated from Johnson-Cook
. ____ --+- S45C; compression test in the literature
-a- Mn steel; calculated from Johnson-Cook
0.2
-&- Mnsteel;compression test in the literature
0.3
Plastic Strain
0.4 0.5 0.6
Figure 3-4: Comparison of stress versus plastic strain curves calculated from the
Johnson-Cook hardening model with the corresponding values of the material
parameters obtained from tension curve fitting and those from compression tests in
the literature
materials A* [MPa] B* [MPa] n Coefficient of Multiple
Determination (R 2 )
S45C 387.34 784.54 0.40 0.97
Mn steel 433.43 733.29 0.32 0.95
Table 3-2: Values ofmaterial parameters obtained from compression curve fitting
45
Ci Il.. :! -1/) 1/) CI) ... -CI)
1300~------------------·-------------------------------------,
1200 --- --~---- ------ ---~-- ~-- ----- -=...-tlCA!!Fl---
1100
1000
900
800
700
600
500
400
300 0
-~Ad=--/"-------------------- ------------------ - ------
-+- Mn steel; compression test in the literature
-1ir- Mn steel; calculated tram Johnson-Cook
-a- S45C; compression without pre-drawing in the literature
-&- S45C; calculated trom Johnson-Cook
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Plastic Strain
1.1 1.2 1.3
Figure 3-5: Comparison of stress versus plastic strain results from compression tests
in the Iiterature and those calculated from the Johnson-Cook hardening model with
the corresponding values of the material parameters obtained from compression
curve fitting
To obtain more reliable values for A* , B* and n for the two materials, stress versus strain
curves from compression tests without pre-drawing with a larger strain range should be
considered. Since there are no experimental results available in homogeneous
compressions (without friction) for the two materials, the stress versus strain curve in
compression (with friction) without pre-drawing from Figure 2-9 for S45C, and that in
compression from Figure 3-2 for Mn-steel are chosen. Both the linear and nonlinear
regression analysis methods are used to determine the values of A* , B* and n, and still
the nonlinear regression analysis gives a better fit. The values of the material parameters
for both materials obtained from the nonlinear regression analyses are shown in Table 3-
2. The stress versus plastic strain curves calculated from the Johnson-Cook hardening
model superimposed on the experimental ones for both S45C and Mn steel are shown in
Figure 3-5. In the strain range of 0.09 to 1.2 for S45C and 0.09 to 0.5 for Mn steel, a
46
better fit is observed. Although the compressIOn tests considered here are not
homogeneous, these curve fitting results are better than those obtained from tension tests
for plastic strain beyond 0.09. Therefore, the values deterrnined from compression tests
were more reasonable and hence adopted in this work.
The material constants, m and C, taken from (Johnson and Cook, 1983) for comparable
steels are 1.0 and 0.022 for S45C and 1.03 and 0.014 for Mn steel respectively. Finally,
the values of A and B determined according to equations (3.3) and (3.4) are 448.68
(MPa) and 908.79 (MPa) for S45C, and 433.43 (MPa) and 733.29 (MPa) for Mn steel
respectively. The values of material parameters are summarized in Table 3-3.
materials A* (MPa) B* (MPa) A (MPa) B(MPa) n C m
S45C 387.34 784.54 448.68 908.79 0.399 0.022 1.0
Mn steel 433.43 733.29 433.43 733.29 0.32 0.014 1.03
Table 3-3: Values of material parameters for S45C and Mn steel
3.3 A Proposed New Combined Linear Kinematie/Nonlinear
Isotropie Hardening Model
In the CUITent work, forming processes involving reverse loading conditions were
simulated. To account for the possible Bauschinger effect, a new combined linear
kinematicl nonlinear isotropie hardening model for metals subjected to reverse loading is
proposed. The following are the assumptions considered in this model.
The material is assumed to be initially isotropic and harden anisotropically by a
combination of expansion and translation of the yield surface in stress space.
47
Yield criterion:
It is assumed that the material obeys the von Mises yield criterion. After plastie
deformation, the yield criterion takes the form defined in the equation (2.21). From
equation (2.16), the proposed yield function is expressed as
f[ «(5 - a), (5 iso ] = ~ ~ (~ -~) : Œ - a) - (5 Iso = 0 (3.7)
Hardening rule:
It is assumed that the evolution law of this combined model includes two components: a
linear kinematic hardening component, which defines the translation of the yield surface
in stress space through backstress, ~; and an isotropie hardening component, which
describes the change of the size of the yield surface by 0 ISO, defined as a function of
equivalent plastic strain, E P; temperature, T; and strain rate, t P .
The linear kinematic hardening component takes the form of the linear Prager' s hardening
law defined in equation (2.15), re-written in a rate form as:
. 2 H · p a=- t: 3 -
(3.8)
3 where H = -c, as defined previously. H represents the anisotropie part of the plastic
2
hardening modulus.
The isotropie hardening component assumes that (TsO = G(EP ,T,i
p). The function G
can be determined from the true stress- stain curve in uni axial tension or compression. It
can be shown that in the case of a monotonie uni axial tension, the integration of equation
(2.23) is expressed as:
(3.9)
where 0 and é P are the axial stress and axial plastic strain, respectively.
48
Assuming that the stress-strain relation in uni axial tension is described by the form of the
Johnson-Cook model, then
(3.10)
where
.p
Ë * =~. = dimensionless axial plastic strain rate for Eo = 1.0 S-I axial ê O
E P = axial plastic strain rate
T* T -To 1· d = = norrna Ize temperature Tmelt -To
T = CUITent temperature
Tmelt = melting temperature of the material
To = reference temperature
A , B , n, C and m = five material constants.
Substituting equation (3.10) into equation (3.9), we obtain:
(3.11)
In uniaxial tension, the equivalent plastic strain increment, dE P, equals the axial plastic
strain increment, dE P , i.e. dE P = dE P • Therefore, in uniaxial tension,
(3.12)
Substituting equation (3.12) into equation (3.11), we have
(3.13)
Therefore, the isotropie hardening component assumes that
49
where A ,B, C , n and m are the material constants determined according to the
method described in section 3.2. H is the kinematic hardening modulus, which must be
calibrated from cyclic test data. For an example, H can be simply determined from the
stress-strain data of cycles obtained from a symmetric strain-controlled cyclic experiment
with strain range !!.E . Due to the fact that the elastic modulus of a material is large
compared to its plastic hardening modulus, the magnitude of the plastic strain at the yield
point in reverse loading is the same as that in the continuing loading. Figure 3-6 shows
the cycles. H is determined as
H =_1 f 3(a: +aI
C
)
N 1=1 2E/ (3.15)
where N is the number of cycles; a: and at' are the tensile and compression yield
stresses of cycle i, respective1y. E,P is the tensile plastic strain at yield point of cycle i.
ô t n
rr t 2
ôl
~ GP fl GP = Gf - G~
t
oi ~ OC
2
crC n
Figure 3-6: Symmetric straiD cycle experimeDt (adapted from HKS IDe., 2004)
The flow rule:
It is assumed that the plastic deformation obeys the associated flow rule as defined in
equation (2.26). Substituting the yield function (3.7) into equation (2.27), we obtain:
50
dA can be found by substituting equation (3.16) into dEl' = %dë; dë; . Since
In view of equation (3.7), we have
dA = 3dEP
20'sr)
Using (3.18) in (3.16), we obtain the following in a tensor form:
The von Mises yield surface is a cylinder in stress space with a radius of
(3.16)
(3.17)
(3.18)
(3.19)
(3.20)
The normal to the Mises yield surface according to the associated flow mIe can then be
written as
Using (3.21), (3.19) can be written as:
d§.p =#QdEP
(3.21)
(3.22)
We finally get the proposed specific expressIOn of the associate flow mIe for this
combined model after writing (3.22) in a rate form:
51
fP =#Q€P (3.23)
where the equivalent plastic strain rate is expressed as
-'-p ~.P .p E = -E : E 3- -(3.24)
With assumptions about the yield eriterion, hardening rule and flow rule, the new
eombined linear kinematie and nonlinear isotropie hardening model was proposed.
3.4 Implementation of the Proposed Combined Linear
Kinematie/Nonlinear Isotropie Hardening into ABAQUS
In this section, a user subroutine VUMA T implementing the proposed combined material
model in finite element software ABAQUSlExplicit and a user subroutine UMAT,
implementing a linear elastic material model III finite element software
ABAQUS/Standard, are developed.
3.4.1 Overview of User Subroutine
ABAQUS (HKS Inc., 2004) has interfaces that allow the user to implement general
constitutive equations. In ABAQUS/Standard the user-defined material behavior is
specified with a user subroutine UMAT, while in ABAQUSlExplicit the user-defined
material behavior is implemented in a user subroutine VUMAT. Both user subroutines
VUMAT and UMAT are used when none of the existing material models included in the
ABAQUS material library accurately represents the behavior of the material to be
modeled.
User subroutine VUMAT:
• can use and update solution-dependent state variables
52
• can use any field variables that are passed in
User subroutine UMAT:
• can be used with any procedure that includes mechanical behavior
• can use solution-dependent state variables
• must update the stresses and solution-dependent static variables to their values at
the end of the increment for which it is called
• must provide the material Jacobian matrix, a~%~ê for the mechanical
constitutive model
3.4.2 The Governing Equations
A basic assumption of many elastic-plastic material models is that the deformation of a
solid body can be divided into an elastic part and a plastic part. According to this
assumption, a total strain rate can be decomposed according to the additive strain rate
decomposition. Hence
(3.25)
where È is the total mechanical strain rate tensor, t.. e is the elastic strain rate tensor, and
t.. P is the plastic strain rate tensor.
The stress rate is expressed in terms of Hooke's law by
(3.26)
where À and 2f.1 are the Lames constants for the material.
Plasticity of the new combined model is summarized as follows:
• Yield function:
53
• Plastic flow mIe:
• Prager (linear) kinematie hardening
Using (3.23) in (3.8), we obtain
~=~H [3 QÊP = (2 HQÊP 3 V-z- V3-
• Nonlinear isotropie hardening
3.4.3 Integration of the Governing Equations
(3.7)
(3.23)
(3.27)
To solve the governing equations, we first need to integrate them in rate form in order
to transform the differential problem into a solvable algebraic problem. The backward
Euler integration method is unconditionally stable and simple; applying this method
to the flow mIe (3.23) over a time increment gives
(3.28)
Applying this method to the strain rate decomposition equation (3.25) gives
(3.29)
54
The integration of the stress rate equation (3.26) gives the trial elastic stress based on
purely elastic behavior:
(3.30)
where the subscripts old and new refer to the beginning (at time t) and end (at time
t +!1t) of the increment, respectively. If the trial stress does not exceed the yield
stress, the deformation is within the elastic limit, and the new stress is set equal to the
trial stress. If the trial stress is larger than the yield stress, plasticity occurs in the
increment, and according to (3.29) and (3.28), the new stress is expressed as:
_ trial 2 A P _ trial '-;::6 A - P Q () new - () new - f.1D§.. - () new - V 0 f.1Dê (3.31)
Due to the plastic incompressibility, !1ê~ = 0, using (3.31) and the definition of ~new'
we obtain
(3.32)
Applying the backward Euler integration method to the kinematic hardening equation
(3.27) gives
(3.33)
According to the definition of the normal to the yield surface, equation (3.21), at the
end of the increment, we have
(2-;so Q S g:new + V3(}new _ = _new
This cao be expanded using (3.32) and (3.33) as
lIRA - P Q #-;so Q - striai '-;::6 A - P Q g:old+ - Dê + -(}new -_new- vO f.1Dê
3 - 3 - -
55
Taking the tensor product of this equation with Q, we obtain
.Q [2UA-PQ.Q [2-iSOQ.Q_ s tr;al.Q 176 A-PQ.Q a old . _ + ,r"311uE _. _ + v30'new _. _ - _new . _ - ,\/OfluE _._ (3.34)
During the active plastic loading the stress must remain on the yield surface, so that
~Q:Q =1
Therefore, the equation (3.34) reduces to
. Q [2 UA -P [2-;'0 _ striai. Q 176 ~-P (lold . _ + V 3 11UE +v3
0'new - _new . _ -'\/Ofl E
{3 -P(2 2 H _ ( trial ). Q [2-iso V2~E fl +3 ) - ~new -aold . _ - v30'new
L . j:/rial striai h h b . b ettmg ~new = _new - (lold ,t en t e a ove equatlOn ecomes
SeP - [2 1 [(;:trial:;:tr;al)~_ [2O',~O]=O V3 2 ~new ~new V3 new (2fl +-H)
3
where
O'iSO = [A + B(eP )n ][1 + Cln(e(ew )][1- (Tnew - To)m] - HeP new new - T _ T, new
Eo melt 0
~-P
where e::,w = _E_ by using the backward Euler scheme. M
(3.35)
(3.36)
(3.37)
At the beginning of an increment, çtrial can be ca1culated, andTnew is a function of SK P, _new
which will be shown in the next section. Therefore, equation (3.36), is actually a
nonlinear equation of a single variable b..-e p• Solving for b..-e P numerically, we can then
determine 0 new , 0. new and e::'w' which is expressed as e::,w = et:d + ~eP by using the
backward Euler scheme.
56
3.4.4 Derivation of Temperature Increment for an Adiabatic Analysis
An adiabatic analysis is perfonned when an extensive inelastic defonnation is occurring
extremely rapidly, and the heat caused by mechanical dissipation associated with plastic
straining has no time to diffuse (HKS Inc. 2004).
An adiabatic analysis assumes that plastic straining gives rise to a heat flux per unit
volume of
(3.38)
where yP is the heat flux that is added into the thermal energy balance; 1] is the plastic
heat fraction, which is assumed to be constant; a is the stress tensor; and fP is the rate of
plastic straining.
The component form of (3.38) is as follows
(3.39)
Since sC = 0, (3.39) becomes
Then we have:
P .p y
ê =-1]!i
(3.40) I.e.
Using (3.40) in (3.24), we have
-'-p F·p .p ê = -ê :ê = 3- -
Therefore
(3.41)
57
Using the backward Euler scheme to integrate the plastic strain in (3.41), we obtain the
approximated value of yP at the end of the increment as
A -P P
_ilê Y =17a -
~t
The heat equation solved at each integration point is
(3.42)
(3.43)
where p is the material density; C(7) is the specifie heat; t is the rate of temperature.
Using (3.43) in (3.42), we obtain
Integrating for temperature in the above equation, we obtain
~T = 17(f~&P = ~ (f~&P pC(T) C (7') P
(3.44)
where af),.& P is the dissipated inelastic specifie energy per unit mass. It is clear that ~T p
is a function of ~E P , and hence, Tnew = Tald
+ ~T is indeed a function of ~E P •
3.4.5 Flow Chart and Code of VUMAT and UMAT
The flow chart of the subroutine VUMA T for the proposed combined hardening model is
shown in Figure 3-7. According to the flow chart, 2-dimensional and 3-dimensional
VUMA Ts were developed. 2-dimensional VUMA T is shown in Appendix A. The code of
the subroutine UMAT for isotropie isothermallinear elasticity is taken from ABAQUS.
58
Initialization of parameters (E, v, A, B, n, C, m, C(T), 11, Tmelt, To, to, H)
If step time = 0
Yes
Calculate stress and elastic strain assuming the material pure elasticity
No
Calculate the magnitude of the deviatoric trial stress difference (dsmag) and calculate the radius (radiusold) of the yield circle in deviatoric plane
If dsmag > radius?
Yes
Solving the equation for equivalent plastic strain increment using Bisection iteration
update stress and solution dependant state variables
1
No
Set equivalent plastic strain equal to zero
Figure 3-7: Flow chart for VUMAT
3.5 Verification of the User Subroutine VUMAT
When developing a user subroutine, it is strongly recommended to test them thoroughly
on single element models with prescribed loading conditions before attempting to use
them in real analysis work. In order to verify the VUMAT developed in this work, one
element tests with an 8-node brick element (C3D8R) under uniaxial loading conditions
and reversed loading conditions were performed. S45C was chosen as an example to test
the user subroutine VUMA T specifying the proposed combined hardening material
model.
59
3.5.1 One-Element Tests under Uniaxial Loading Conditions
140°r-------~J;~~~~--------------------------1
(;' Il.
1200
~ 1000 VI VI ~ û) 800 ... 1: G)
iij .~ 600 ::l C" W
~ 400 VI
~ 200
~~~--------------------
-e-- H=1 00 (MPa); Strain Rate 2 -f--Isotropie Hardening; Strain Rate 2
----6- H=1 00 (MPa); Strain Rate 20 --*-Isotropie Hardening; Strain Rate 20
-H=100 (MPa); Strain Rate 200 -e- Isotropie Hardening; Strain Rate 200
O __ ~----~------~------~------~------~------r-----~ o 0.5 1.5 2 2.5 3 3.5
Equivalent Plastic Strain
Figure 3-8: S4SC. Mises stress versus equivalent plastic strain results from uniaxial
tension simulations with H = 100 (MPa) and isotropie hardening
The purpose of the tests under uniaxial loading conditions (uniaxial tension and uni axial
compression) is to verify the proposed combined model by comparing it to the Johnson
Cook plasticity model built into ABAQUS with equivalent plastic hardening. The one
element testing models are described as follows: the nodes at the two ends of an element
were given equal and opposite prescribed velocities (v, ramping up from 0 tovmax ) in the
z -direction. The original length of each side of the element is unit length. The nominal
strain rate is, therefore, 2v, with its maximum value being approximately 2v max. This
analysis was run with maximum nominal strain rates of 2, 20, and 200 S-I and with a
properly prescribed time step to generate a uniaxial strain of approximately 3.0 in
magnitude. In addition, the heat generated by the plastic deformation was taken into
account, and the testing value of the kinematic hardening modulus, H, was chosen to be
100 (MPa).
60
1600
1400
liS Il.
1200 :i!: -1/) 1/) Q) 1000 ... -en -r::: 800 ~ cu .~ ::l 600 cr
W 1/) Q) 400 1/)
~ 200
0
0 0.5
-e- H=1 OO(MPa); strain rate 2
-&- H=1 00 (MPa); strain rate 20
-H=100 (MPa); strain rate 200
1.5 2
-I--Isotropie hardening; strain rate2
~ Isotropie hardening; strain rate 20
-B-Isotropie hardening; strain rate 200
2.5 3 3.5
Equivalent Plastic Strain
Figure 3-9: S4SC. Mises stress versus equivalent plastic strain results from uniaxial
compression simulations with H = 100 (MPa) and isotropie hardening
Figure 3-8 contains plots of Mises stress versus equivalent plastic strain at different strain
rates from tension testing models with the combined hardening model with
H = 1 00 (MPa) and the isotropie hardening model. It can be observed that the results
with the combined hardening model are almost identical to the corresponding results with
the isotropie model. Figure 3-9 shows plots of Mises stress versus equivalent plastic strain
at different strain rates from compression simulations with the combined hardening model
with H = 100 (MPa) and the isotropie hardening model. Although sorne discrepancy is
noticed for the maximum nominal strain rate of 200 S-l and at strains greater than 2, this
does not affect the application of this combined hardening model in this work since the
nominal strain rate in this work is weIl below 200 S -) .
61
3.5.2 One-Element Tests under Reverse Loading Conditions
The reverse loading tests are performed to test the accuracy of the algorithm of the
VUMA T to account for the Bauschinger effect. The testing value of the kinematic
hardening modulus, H, is chosen to be 0 and 100 (MPa). When H equals zero, the
combined model should reduce to the Johnson-Cook model. In this testing model, the
nodes at one end of an element (C3D8R) were constrained from moving in the z -
direction, meanwhile, the nodes at the opposite end of the element were given a
prescribed velocity of 2 mfs (ramping up from 0 to 2 mfs) in the z -direction to stretch the
element. After plastic deformation, the nodes at one end of the element were still
constrained from moving in the z- direction, while the nodes at the opposite end were
given an equal and opposite prescribed velocity of 2 mfs in the z -direction to compress
the element. The originallength of each side of the element is unit length. This analysis
was run with maximum strain rates of 2 sec -1 , and the heat generated by the plastic
deformation was taken into account.
-+-Isotropic hardening; strain rate 2
-II- H= 0; strain rate 2 ··1000- ___ A (1.79, 1230)
-cu a.. ··~----500·
~ -·3 -2 -1 2
~-----~-5G0 .------
B (1.76, -1200) ----~~ --100& ---
Axial Plastic 5train
Figure 3-10: S4SC. Axial stress versus axial plastic strain results from reverse
loading testing models with H = 0 and isotropie hardening
62
Figure 3-10 shows the eurves of axial stress versus axial plastic strain of the reverse
loading testing models with H = 0 and the isotropie hardening. The two eurves are
essentially identieal, whieh indieates that when H equals zero, the eombined hardening
model reduces to the Johnson-Cook mode!. Yield stresses at points A (1.79, 1230) and B
(1.73, 1200) are 1230 (MPa) and -1200 (MPa), respeetively. The differences in
magnitude between them are eaused by the numerieal ea1culation error. Therefore, the
eombined hardening model is identieal to the Johnson-Cook isotropie hardening model
when H equals zero, as expeeted.
1/)
ë -cn-ni ·x cC
-+-- H=1 00 (MPa); strain rate 2
C (1.79,1230)
------- -5
-3 -2 -1 2
D (1.76, -840)
Axial Plastic Strain
Figure 3-11:S45C. Axial stress versus axial plastic strain results from reverse
loading testing models with H = 100 (MPa)
The axial plastic strain versus axial stress eurves of the reverse loading testing model with
H = 100(MPa) is illustrated in Figure 3-11. A strong Bausehinger effeet was manifested
in the eurve sinee the magnitude of the yield stress at point C (1.79, 1230) is about one
and an half times that at point D (1.76, -840). In addition, by substituting ea1culated
results from the reversed loading models for the eorresponding variables in equation
(3.7), the equation is satisfied. Therefore, the algorithm of the VUMAT is verified to be
correct.
63
4 Numerical Simulations
Numerical simulations in this work are performed using ABAQUS v6.4, which includes
ABAQUS/Standard and ABAQUSlExplicit. ABAQUS/Standard is a general-purpose
finite element pro gram using automatic incrementation based on the full Newton solution
method, whereas ABAQUSlExplicit is an explicit dynamic fini te element program based
on the implementation of an explicit integration mIe together with the use of diagonal or
lumped element mass matrices. The characteristics of implicit and explicit procedures
determine which method is appropriate for a given problem. For a smooth non-linear
response, the Newton's method can give a rapid quadratic rate of convergence. However,
if the model contains highly discontinuous processes, such as contact and friction al
sliding, quadratic convergence may be lost and a large number of iterations may be
required. Therefore, ABAQUSlExplicit is recommended to resolve complicated contact
problems (HKS Inc., 2004).
In this chapter, numerical simulations of physical tests from two papers in the literature,
used to investigate the effect of pre-drawing on the formability during cold heading, are
described. The two papers are Tozawa and Kojima's (1971) and Gill and Baldwin's
(1964) as reviewed in chapter 2.
4.1 Numerical Simulations of Tozawa and Kojima's Tests
4.1.1 Experimental Procedure
The process of Tozawa and Kojima's experimental work is illustrated in Figure 4-1.
[ DRA WING 1 .. [ CUTTING 1 .. 1 UPSETTING 1
Figure 4-1: The procedure of Tozawa and Kojima's test
After initial annealing, cylindrical rods were first drawn in the drawing process to
different reductions in area through dies with different angles to a fixed radius of 4 mm,
64
with lubricants applied. Then, in the cutting process, they were cut to 12 mm long with a
radius of 4 mm. Finally, in the upsetting process these pre-drawn rods 12 mm long, with a
radius of 4 mm, were compressed between two flat dies without lubrication until surface
fracture occurs. Both the drawing process and the upsetting process were quasi-static.
Three materials were tested, and two of them, S45C and Mn steel, are modeled in this
work. The chemical composition of the two materials is shown in Table 4-1. Table 4-2
shows the pre-drawing reductions in area and die angles (approach angle, 2a) used for the
two materials. The experimental results are shown in Figures 2-8 to 2-11.
C Mn Si P S
S45C 0.49 0.82 0.28 0.022 0.015
Mn steel 0.35 1.74 0.30 0.023 0.023
Table 4-1: Chemical composition of materials used (adapted from Tozawa and Kojima, 1971)
Materials Reductions in area Die approach angle 2a
S45C 10% 20% 40% 30°
Mn steel 10% 20% 40% 15° 1
30° 1
60°
Table 4-2: Pre-drawing reductions in area and die approach angle for S45C and Mn steel
4.1.2 Description of Simulation
According to the experimental procedure illustrated in Figure 4-1, three numerical models
were created: a drawing model, a cutting model and an upsetting model.
4.1.2.1 Description of the Drawing Mode)
The drawing process is a quasi-static process and involves contact and frictional sliding.
Rence, as recommended by ABAQUS, the numerical analysis of this process was
performed using ABAQUS/Explicit v6.4. The finite element model is axisymmetric, and
65
only half of the cylindrical rod and a die were considered because the geometry of the rod
and the die, and the loading conditions of the drawing process are axisymmetric. The
reductions in area and die approach angles used in this model (Figure 4-2) are the same as
shown in Table 4-2.
Geometry:
Figure 4-2 shows the schematics of the drawing model.
Figure 4-2: Geometry and mesh for FEM drawing mode}
With the different reduction in area, the original geometry of a cylindrical rod before pre
drawing corresponding to a final geometry of 12 mm long, with a radius of 4 mm, is
calculated as follows:
From equation (2.1), we have
66
AI 1CR} R} r=I--=I--=I--
Ao 1CR; R;
where Ra and Rf are the original and finishing radius of the rod, respectively
Then, we have
Rf' R = ' o ~
Since the material is assumed to be incompressible, we have
lo1CR; = If1CR~
R} 10 = If' - = If (1- r)
'R 2 , o
(4.1)
(4.2)
(4.3)
where final length, 1 f' equals to 12 mm; lais the original length corresponding to the
finishing length 12 mm. Table 4-3 shows the results calculated according to equation
(4.2) and (4.3)
Geometry Reduction Reduction Reduction 10% 20% 40%
10 (mm) 10.80 9.60 7.20
Ro(mm) 4.22 4.47 5.16
Table 4-3: Original geometry of the rod corresponding to finallength 12 mm
Geometry Reduction Reduction Reduction 10% 20% 40%
3Ia(mm) 32.40 28.80 21.60
Ra (mm) 4.22 4.47 5.16
Table 4-4: Original geometry of the rod for the FEM drawing model
To eliminate the end effect, the originallength of the rod in the drawing model was taken
to be three times of 10 calculated above. Then, in the cutting process, the two ends were
cut off, and only the middle part, 10 long, which is one-third of the whole rod length, is
67
considered for upsetting. Table 4-4 shows the original geometry of rods used in the
drawing model.
The actual geometry of the dies in the drawing test is unknown. The bearing length for aIl
dies was chosen to be 1.5 mm (National Machinery).
Mesh:
In the drawing model, the cylindrical rod was modeled as a deformable solid body while
the die was assumed to be rigid. In ABAQUSlExplicit, a rigid body can be modeled with
either an analytical rigid surface or a discrete rigid element. An analytical rigid surface is
more efficient than a discrete rigid element since it does not involve element calculation.
Therefore, in this model, an analytical rigid surface is used for modeling the die.
An axisymmetric solid element was used in the simulation to reduce the problem size.
The initial cylindrical rod was meshed using element type CAX4R, a 4-node quadrilateral
with reduced integration and hourglass control to control spurious mechanisms caused by
the fuIly reduced integration. The reason for choosing this type of element is that it is
relatively inexpensive for problems involving nonlinear constitutive behavior since the
material calculations are only done at one single point in each element; in addition, a first
order triangle element is overly stiff and exhibits slow convergence with mesh
refinements.
Various mesh refinement rates were tested for mesh convergence before final selection of
the mesh density. Mesh refinement rates were first tested for the upsetting model, and
then the mesh density for the drawing model was decided thereafter. In these preliminary
simulations for the upsetting model, compression of a rod, 12 mm long, with a radius of 4
mm, was performed between two flat dies. The mesh refinement rates were judged in
terms of the value of the principal stress on the surface of the rod at the end of the
simulation because the principal stress is a decisive factor in the Cockroft and Latham
ductile fracture criterion as indicated by equation (2.5). The accuracy of the FEM solution
68
improves as the mesh is refined further. However, the number of elements is limited by
the computational cost. At a certain point, the solution will become similar from one
refinement to the next further refinement, indicating that the mesh refinement at this point
can be taken as the final selection. Therefore, the mesh for the upsetting model was
selected to be 22x54 (1188). Accordingly, the rod for drawing was discretized into 2904
elements with finer mesh in the middle and coarser mesh at the ends to reduce the number
of elements and the computational time.
(a) (b)
Figure 4-3: The end shape of the eut rod (a) with adaptive mesh and (b) without adaptive mesh
In addition, to get better end shape of the cut rod after the cutting process, automatic
rezoning using adaptive meshing was applied to the region of the two-thirds of the rod in
the middle. Figure 4-3 shows the end shape of the cut rod with and without adaptive
meshing.
Material models:
As discussed in previous chapters, a material model should be able to adequately de scribe
the response of a material under specific conditions of interest. In this work, an elastic-
69
plastic model was assumed for both S45C and Mn-steel. The elastic behavior of the
material was assumed to be linear and isotropie; Young's modulus is 200 (GPa), and
Poisson's ratio is 0.29. The plastic behavior of the material was assumed to be described
by the new combined linear kinematic/ nonlinear isotropie hardening model proposed in
Chapter 3 since both materials were tested under reversed loading conditions. In addition,
for the purpose of comparison, the Johnson-Cook isotropic hardening model was also
applied for both materials to the drawing simulation model.
Sinee the drawing proeess is quasi-static, the temperature increase caused by the heat
generated by mechanical dissipation associated with plastic straining was negleeted, and
the temperature of the rod was assumed to remain at constant room temperature (25°).
The strain rate for the quasi-statie proeess was assumed to be 0.002 s -1 , then aeeording to
equation (3.1), Johnson-Cook isotropie hardening model beeomes:
ForS45C:
Cf = [A + B(e P r][1 + Cln(0.002)] = 387.34 + 784.54(e P )0.399
For Mn steel:
a = [A + B(e P r ][1 + C In(0.002)] = 433.43 + 733.29(e P )032
Renee, for the eombined kinematielisotropie model, the nonlinear isotropie hardening
becomes:
For S45C:
For Mn steel:
Therefore, both the isotropie hardening model and the combined kinematic/isotropic
model are simplified to rate-independent material models. The rate-independenee of the
70
materials eases the simulations of a quasi-static process since increasing speed does not
affect the material behavior.
In the current work, there is no cyc1ic test available to calibrate the kinematic hardening
modulus, H. Rence, H was determined by performing simulations of tests
corresponding to Figure 2-9 and Figure 2-10 with different values of H. The one, with
which the results of the simulations best fit those shown in Figure 2-9 and Figure 2-10,
was chosen as the value of H for S45C and Mn steel, respectively.
Interface behavior:
The contact between the lateral surface of the rod and the rigid die was modeled with the
*CONT ACT PAIR option, and the friction between them was assumed to obey
Coulomb's law, with a friction coefficient of 0.12 (Petrescu et al, 2002) and with no limit
for a shear stress. The interface was assumed to have no conductive properties, and the
die was assumed to be at constant room temperature. The heat dissipated as a result of
friction was neglected since the drawing process is a quasi-static process.
Boundary conditions:
Simulating quasi-static problems usmg ABAQUSlExplicit reqUlres sorne special
considerations. A static solution is defined as a long-term solution. It is usually
impossible to simulate a quasi-static process in its natural time sc ale as this would require
an excessive number of small time increments. To obtain a computationally economical
solution, the quasi-static process must be accelerated in sorne way, in which inertial
forces caused by the acceleration remain insignificant. A general rule for selecting a
properly increased speed for a quasi-static process is that the kinetic energy of the
deforming material should not exceed a small fraction (typically 5% to 10%) of its
internaI energy throughout most of the process (RKS Inc., 2004). In this work, different
drawing speeds were applied to drawing simulation models, and the drawing speed of 0.8
mis was found to be the appropriate speed for the drawing simulation. Figure 4-4 shows
71
an ex ample of the ratio of kinematic energy to internaI energy of the rod throughout the
whole drawing simulation process.
- 1.6E-03 ~ ~ >- 1.4E-03 ~ CI) s:::::
1.2E-03 CI)
cu s::::: 1.0E-03 "-CI) -s::::: 8.0E-04 :.:::: >-~ 6.0E-04 CI) s::::: CI)
() 4.0E-04 ~ cu E 2.0E-04 CI) s:::::
~ O.OE+OO
0 10 20 30 40 50 60 70
Time (ms)
Figure 4-4: History of ratio of kinematic energy to internai energy
The kinematie boundary condition is symmetric on the aXIS of the rod, having
ur = 0 described, and u z = 0 was prescribed on the bottom of the rod. The u z -
displacement of the rigid die was described using a displacement boundary condition
whose value was ramped up over step time to ensure the rod goes through the die totally
at the constant drawing speed of O.8m/s. The radial and rotation al degrees of freedom of
the rigid die were constrained.
4.1.2.2 Description of the Cutting Model
The cutting process was simulated using ABAQUS/Standard by importing the deformed
mesh and its associated material state of one-third of the whole drawn rod in the middle
from the final increment of the drawing simulation to this cutting simulation mode!. Then
the imported part underwent self-relaxation since no die or external loading is involved.
Therefore, the cutting model is actually a statie simulation without external loading or
contact. The reason for using ABAQUS/Standard in this model is that it can obtain a
72
static solution in just a few increments while ABAQUSlExplicit must solve a static
problem by obtaining a dynamic solution over a time period that is long enough for the
solution to reach a steady state; in addition, ABAQUS only provides the capability to
transfer results of simulations from ABAQUS/Standard into ABAQUSlExplicit or
ABAQUS/Standard and vice versa; ABAQUS cannot transfer results between
ABAQUSlExplicit (HKS Inc., 2004). Figure 4-5 shows the configuration of the drawn
rod at the final increment of the drawing simulation and the initial configuration of the
imported part of the rod in the cutting simulation.
o
(a) (b)
Figure 4-5: (a) Configuration of the drawn rod at the final increment of the drawing simulation and (b) The initial configuration of the rod in cutting model
It is important to notice that to import the material state from the drawing model
involving the Johnson-Cook isotropie hardening material model, the Johnson-Cook
hardening model has to be input into the drawing model in a discretized tabular format,
which both ABAQUSlExplicit analysis and ABAQUS/Standard analysis accept, since the
73
built-in Johnson-Cook hardening material model exists only in ABAQUSlExplicit's
materiallibrary, and not in ABAQUS/Standard's. In the case of the drawing model with
the Johnson-Cook hardening material model, no material definition need to be specified
in the cutting model as the material definition from the drawing model will be imported
as weB.
The initiaBy imported rod is approximately 12 mm long, with a radius of about 4 mm.
The imported mesh is the same type as in the drawing model. Since only elastic
springback was assumed to happen in this cutting process, the material model here was
assumed to be linear elastic for both materials with the same values of Young' s modulus
and Poisson' s ratio as in the drawing model. u = 0 was described on the axis of the rod
to ensure the symmetric kinematic boundary condition there, and the node at the bottom
of the axis of the rod was encastered to constrain the movement of the rod.
4.1.2.3 Description of the Upsetting Model
For a similar reason as the drawing model, the upsetting model was developed using
ABAQUSlExplicit. In this model, the deformed mesh and its associated material state
was imported from the final increment of the cutting simulation, and then was
compressed between two flat rigid dies. Figure 4-6 shows the initial configuration of this
model.
Figure 4-6: Initial configuration of the upsetting mode}
74
Geometry and model:
The imported initial rod is approximately 12 mm long, with a radius of about 4 mm; the
imported mesh type is CAX4R with 1188 elements in total. The material models defined
here are the same as in the drawing model since the upsetting process is also a quasi-static
process. However, when the drawing model is specified with the Johnson-Cook
hardening material model, no material definition needs to be specified, since the material
definition in the cutting model, which was imported from the drawing model, is imported
into this upsetting model. A Coulomb friction model with a friction coefficient of 0.13
(Nickoletopoulos, 2000) was used to model the friction between the top, bottom and
lateral surfaces of the rod and two flat rigid dies. The heat generated by the friction was
neglected since the process is quasi-static. The heat transfer between the dies and the rod
were also neglected, and the temperature of the dies and the rod were fixed to 25°C.
Boundary conditions:
The compression speed of this quasi-static process was chosen to be 0.5 mis according to
the procedure similar to the drawing model. The boundary condition is symmetric on the
axis of the rod i.e. u = o. The bottom die was encastered; the top die was constrained to
have no rotation and ur -displacement, and its Uz -displacement was prescribed using a
displacement boundary condition who se value was ramped up over time step until the
height of the deformed rod reached the height to fracture ensuring a constant compression
velocity of 0.5 mis. The heights to fracture (shown in Table 4-5) for the two materials
A -A were deterrnined according to Figure 2-7, w hich is the curves of 0 fr X 100% versus
Ao
ho - h fr -_.....::.- x 100%, where Ao and A ji- are the initial cross-sectional area and the crossho
sectional area at fracture of the rod, respectivel y; ho and h fr are the initial height and the
height at fracture of the rod, respectively.
75
Reduction in area 0% 10% 20% 40% Heights to fracture
3.81 3.38 3.03 3.47 (mm)
(a) For S45C
Height at fracture Height at fracture Height at fracture Reduction in area with 15° approach with 30° approach with 60° approach
angle (mm) angle (mm) angle (mm) 0% 3.00 3.00 3.00 10% 2.49 2.83 3.33 20% 2.31 2.63 2.80 40% 2.18 2.31 2.58
(b) For Mn steel
Table 4-5: Heights of compressed rods to fracture (a) for S45C and (b) for Mn steel
4.2 Numerical Simulations of Gill and Baldwin's Tests
4.2.1 Experimental Procedure
C Mn Si P S
AISI1335 0.33-0.38 1.60-1.90 0.20-0.35 0.035 max. 0.040 max.
Table 4-6: Chemical composition of AISI 1335 (adapted from EAD Inc., 1977)
Gill and Baldwin's Tests follow the same procedure as illustrated in Figure 4-1, and a
detailed description was reviewed in Chapter 2. In the drawing process, the wire of AISI
1335 was drawn at drawing speed of 0.76 mis, to reductions as high as 67% on poli shed
dies with 7°, 15° and 30° approach angles. In the subsequent cold heading process, the
pre-drawn wire was upset at a speed of 0.42 mis, without lubrication. The wire sizes for
cold heading are shown in Table 2-1, and the experimental results are shown in Figure 2-
5. The chemical composition of AISI 1335 is shown in Table 4-6.
76
4.2.2 Description of Simulations
According to the experimental procedure illustrated in Figure 4-1, Gill and Baldwin' s
tests were also modeled with three numerical models: a drawing model, a cutting model
and an upsetting model, which are aIl similar to the simulation models of Tozawa and
Kojima's tests respectively. Based on the assumption that the Cockroft and Latham
constant is a material property, which is independent of the geometry of the tested
specimens, the geometry of the initial wire in the simulations of Gill and Baldwin's tests
was chosen to be the same as in the simulations of Tozawa and Kojima's tests. The
aspects in the simulation models of Gill and Baldwin's tests, which are different from
those of Tozawa and Kojima's tests, will be described in the following.
In the drawing model, the process was simulated as an adiabatic-dynamic process since it
takes place in a short time of about 50ms. Both the Johnson-Cook isotropic and combined
kinematiclisotropic material models, which account for the effect of strain, strain rate and
temperature as presented in Chapter 3, were applied. Hence, the heat generated by the
plastic deformation was taken into account.
Since the chemical composition of AISI 1335 shown in Table 4-6 is similar to that of Mn
steel shown in Table 4-1, we make an approximation to assume that the values of the
corresponding material constants of the Johnson-Cook isotropic hardening model and the
combined isotropic/linear kinematic hardening model are the same for both materials.
Therefore, in this work, the values of the material constants for AISI 1335 were taken to
be the same as the corresponding material constants for Mn steel. The material properties
of Mn steel were summarized in Table 4-7.
The drawing die was prescribed a velocity of 0.76 mfs in the z-direction while the other
two degrees of freedom were constrained. The approach angles of the die used here are
7°, 15° and 30°, and drawing reductions in area are 20%, 40% and 60%.
77
The upsetting model was analyzed as an adiabatic-dynamic process since it takes place in
a short time of about 30 ms. The material models are the same as in the drawing model.
The top die was prescribed a constant velocity of 0.42 mis in the z-direction while the
other two degrees of freedom were constrained. According to the ratios of head diameter
(diameter of a rod to fracture after compression) to wire diameter (the initial diameter of
the rod at the beginning of the upsetting simulation) shown in Figure 2-5, the
corresponding heights of the compressed rods to fracture were ca1culated based on the
assumption that the volume of the rods does not change during plastic deformation.
Therefore, in the upsetting simulations, rods were compressed to the ca1culated heights
shown in Table 4-8.
Material properties Mn steel
Material density p ( % 3) 0.00787 mm
Young' modulus E (MPa) 200000 Poisson's ratio v (MPa) 0.29
A (MPa) 474.73 B (MPa) 803.17
n 0.32 C 0.014 m 1.03
Plastic heat fraction Tl 0.9
Specific heatC(T) (XgoC) 472
Melting temperature of the material Tme/! (OC) 1519.85
Reference temperature To (OC) 25
Table 4-7: Material properties of Mn steel
Approach Reduction in Reduction in Reduction in Reduction in angles area of 0% area of 20% area of 40% area of 60%
(mm) (mm) (mm) (mm) 70 2.47 2.19 2.09 2.64 15° 2.47 1.90 1.79 2.13 30° 2.47 2.41 2.69 3.34
Table 4-8: Corresponding beigbts at fracture from GiII's paper
78
5 Numerical Results and Discussion
Simulation models defined in Chapter 4 were created using both ABAQUSICAE v6.4, a
preprocessor to create models graphically, and a text editor to create ABAQUS input files
directly. The proposed combined linear kinematicl nonlinear isotropic hardening material
model used in the drawing and upsetting models, and the linear elastic material model
used in the cutting model were implemented with user subroutine VUMA T in
ABAQUSlExplicit v6.4 and with user subroutine UMAT in ABAQUSIStandard v6.4,
respectively. For the purpose of comparison, the Johnson-Cook isotropic hardening model
was incorporated in the simulation models in a tabular format as described earlier. The
only unknown to be determined was the kinematic hardening modulus, H, for both
materials .. Once it was determined, and simulations were performed and completed,
ABAQUS/Viewer v6.4 was used to evaluate the simulation results interactively.
5.1 Determination of the Kinematic Hardening Modulus, H
The kinematic hardening modulus, H, for materials S45C and Mn steel was determined
according to the average axial stress versus average axial strain curves in Figure 2-9 and
Figure 2-10, respectively.
5.1.1 Determination of the Kinematic Hardening Modulus, H , for S45C
To determine the kinematic hardening modulus, H, for the material S45C, simulations of
tests corresponding to Figure 2-9 were performed with different values of H. The three
tests corresponding to Figure 2-9 are: upsetting of a rod without being pre-drawn and
upsetting of rods which were pre-drawn to 20% and 40% reductions in area through a die
with an approach die angle of 30°. The detailed description of the physical processes and
the simulation modeling definitions are presented in Chapter 4.
79
As the first step, the upsetting of a rod pre-drawn to 20% reduetion in area was simulated
with the eombined hardening material model with H taken to be 200, 300, 400 and 600
(MPa) in order to find the value of H , with whieh the average axial stress versus average
axial strain eurves ealculated from the force versus displacement resuIts of the
simulations give the best fit to the eorresponding eurves in Figure 2-9. After the value of
H was determined, it was verified by the simulations of the other two processes. In
addition, the Johnson-Cook isotropie hardening model was also used to simulate the
processes to make a eomparison.
350
300
250
-Z 200 ~ -11) (.) ~
0 150 LI..
100
50
0
0
<> Isotropie Hardening
o H=200 (MPa)
l>. H=300 (MPa)
x H=400 (MPa)
Il H=600 (MPa)
2 3 4 5 6 7 8 9 10
Displacement (mm)
Figure 5-1: Force versus displacement curves for the simulations of upsetting after
20% pre-drawing by a 30° die for S45C
The resuIts of the simulations used to ealeulate the average axial stress versus average
axial strain eurves are the force versus displacement results. Figure 5-1 shows the force
versus displacement plot from the simulations of the upsetting after 20% pre-drawing. It
is evident that inereasing the value of H deereases the die reaetion force; the simulation
with the Johnson-Cook isotropie hardening model gives the largest force, while the
80
simulation with H = 600 (MPa) produces the lowest. In addition, for aIl the curves, there
is a long graduaI rise followed by a steep rise to the maximum load.
160
- 140 --- --------------- - ------- -------------
ni Il.. :E - 120 -------
1/) 1/) CI) "--CI)
"iü .;( 80 cC CI) C)
60 ----ni • Experiment from literature "-CI)
> ~ H=200 (MPa) cC 40 -- - -- ------------ ----- -. --------
o H=300 (MPa)
20 A H=400 (MPa) Il H=600 (MPa)
0 0 0.2 0.4 0.6 0.8 1.2 1.4 1.6
Average Axial Strain
Figure 5-2: Simulation and experimental average axial stress versus average axial
strain curves for upsetting after 20% pre-drawing by a 30° die for S45C
Based on the force versus displacement curves, average axial stress versus average axial
strain relations were calculated, which are defined as follows (Tozawa and Kojima,
1971):
Average axial stress = ~, where F is the force applied by the die; Ac is the CUITent Ac
cross-section al area of the rod.
According to the assumption of plastic incompressibility of metals, we have:
hcAc = hoAo, where Ao is the original cross-sectional area of the rod; he and ho are the
current and original heights of the rod.
81
· F Fhc Hence, average axIal stress = - = -- .
Ac hoAo
In addition, average axial strain = _ rhe dh = ln( ho ) . Jho h h
c
Figure 5-2 shows the plot eomparing the average axial stress versus average axial strain
results from the experiment in the literature and those ea1culated from the simulations. A
good agreement between the results from the experiment and from the simulation with
H equal to 300 (MPa) is observed. As expeeted, with the inereasing value of H, the
average axial stress is increased. Among the curves, the lowest average axial stress was
produced by the combined hardening mode with H equal to 600 (MPa), while the highest
was ealculated by the Johnson-Cook isotropie hardening model. Since H equal to 300
(MPa) gives the best fit between the result from the simulation and the experiment, 300
(MPa) was ehosen as the most feasible value for H . However, before the final decision is
made, this value has to be verified by the other two simulations.
Simulations for the other two tests were performed with the eombined hardening model
with H taken to be 200, 300, 600 (MPa), as weIl as the Johnson-Cook isotropie
hardening model. Figure 5-3 and 5-4 are force versus displacement plots from simulations
of the upsetting without pre-drawing and after pre-drawing of 40% reduetion in area,
respectively. The plots eomparing the average axial stress versus average axial strain
results from the experiments in the literature and those ealculated from the force versus
displaeement results (shown in Figures 5-3 and 5-4) are presented in Figures 5-5 and 5-6,
respeetively.
It ean be seen that as the value of H inereases, both force and average axial stress
inerease. Simulations with the isotropie hardening give the highest force and average
axial stress. The average axial stress versus average axial strain eurve for the simulation
with H equal to 200 (MPa) for 40% reduetion in area has a better agreement with that
from the literature than that for the simulation with H equal to 300 (MPa). But in general,
the simulation with H of 300 (MPa) has a better agreement than that with H equal to 200
82
(MPa). Hence, the kinematic hardening modulus, H , for S45C was taken to be 300 (MPa)
in this work.
350 x Isotropie hardening
300 o H=200 (MPa) ------------ --
Il H=300 (MPa)
250 <> H=600 (MPa) ------------------ - -------------- ------ ----
-Z 200 ----- - --------- ------------~ -Q) (,) ... 150 0
LI.
100 ~ -~ ~~ - -----
50
0 0 2 3 4 5 6 7 8 9
Displacement (mm)
Figure 5-3: Force versus displacement curves for the simulations of upsetting
without pre-drawing for S45C
350,-~------~---r-------~---------~-----------------------~ x Isotropie hardening
300 Il H=200 (MPa)
o H=300 (MPa)
250~â~H~==6~O~O~(~M~P~a)~--s-------------------------------~~_1
-~ 200 -Q)
~ o 150 +---~-~~-~~~~---~--------~~ LI.
100 r=i!:~-~-----~~~~~-~ 50!!!!
o 2 3 4 5 6 7
Displacement (mm)
8 9
Figure 5-4: Force versus displacement curves for the simulations of upsetting after
40% pre-drawing by a 300 die for S45C
83
180r-----------------------·--------,--·------------------------, 160 Ci a.. 140 +-----:2 -1/) 120 1/) QI ... .... 100 -------------
CI)
CV '>( 80 <C QI 60 C) cv ... QI 40 >
<C 20
0
0 0.2 0,4 0,6 0,8 Average Axial Strain
<> Isotropie hardening
o H=200 (Mpa)
 H=300 (MPa)
o H=600 (MPa)
• Experiment from literature
1,2 1,4
Figure 5-5: Simulation and experimental average axial stress versus average axial
strain curves for upsetting without pre-drawing for S45C.
160
Ci "" a.. 140 :2
èi) 100 r--,.',000 00 Il. v
cv '>( 80 r::-
~ 60r:::~_~--~::--~~~~~~~~~~-Î t! x Isotropie hardening
<C~ 40 ~-~ CI H 200 (MPa) f' 6 H=300 (MPa)
20 f---._~- <> H=600 (MPa) o Experiment from literature
O __ ------,--------r------~------~~----~r_------~----~ o 0.2 0,4 0.6 0.8 1.2 1,4
Average Axial Strain
Figure 5-6: Simulation and experimental average axial stress versus average axial
strain curves for upsetting after 40% pre-drawing by a 30° die for S45C
84
5.1.2 Determination of the Kinematic Hardening Modulus, H, for Mn
steel
The kinematie hardening modulus, H, for Mn steel was determined aeeording to a
similar procedure as that for S45C. The simulations of three tests eorresponding to Figure
2-10 were performed with different values of H. The three tests are upsetting of rods
after being pre-drawn to 40% reduetion in area through a die with three different
approaeh die angles of 15°, 30° and 60°. AIl simulations were also performed with the
Johnson-Cook isotropie hardening model for the purpose of eomparison.
First, for the simulations of upsetting after 40% pre-drawing by a 30° die, H was taken to
be 150,200,300 and 470 (MPa). The force versus displacement plot from the simulations
is shown in Figure 5-7. The eurves have the same trend as the eurves in Figure 5-1. With
inereasing values of H, the force deereases; the eurve for the simulation with the
isotropie hardening model has the highest force. Aeeording to the eorresponding force
versus displacement results shown in Figure 5-7, the resulting average axial stress versus
average axial strain results were ealculated and eompared to those from the experiment in
Figure 5-8. The eurve with H equal to 200 (MPa) has the best agreement with the
experimental result from the literature. Therefore, it was taken and verified by the other
two simulations.
Figure 5-9 and Figure 5-10 show the force versus displacement plots from the other two
simulations of upsetting with 40% pre-drawing by 15°and 60° dies, respeetively. The
simulations were performed with H equal to 200, and 300 (MPa) as weIl as the isotropie
hardening model. Figure 5-11 and 5-12 present the plots eomparing the average axial
stress versus average axial strain eurves from the experiments in the literature with those
ealculated from the eorresponding force versus displacement results shown in Figures 5-9
and 5-10, respeetively. In general, as H inereases, both force and average axial stress
inerease regardless of the differenee of the approaeh die angles. Simulations with the
isotropie hardening model give the highest force and average axial stress. The average
axial stress versus average axial strain eurves for the simulations with H equal to 200
85
(MPa) have a good agreement with those from the experiments in both cases. Hence, the
kinematic hardening modulus, H, for Mn steel was taken to be 200 (MPa) in this work.
600
500
400 -Z ~ -CI) 300 (.) ... 0
LL
200
100
0 0
~ Isotropie hardening
o H=150 (MPa)
o H=200 (MPa)
x H=300 (MPa)
A H=470 (
2 4 6
Displacement (mm)
-------_.
~
8 10 12
Figure 5-7: Force versus displacement curves for the simulations of upsetting after
40% pre-drawing by a 30° die for Mn steel
250,---------------------r-------------------------------~
ni 200 a.. :2 -
~ Isotropie hardening )( H=150 (MPa) o H=200 (MPa) A H=300 (MPa) o H=470 (MPa)
---~~~~-----~--~---~--~ -----~ ~~~-----
0 __ ----,-----~----_r----~----~------~----~----~----4 o 0.2 0.4 0.6 0.8 1.2 1.4 1.6 1.8
Average Axial Strain
Figure 5-8: Simulation and experimental average axial stress versus average axial
strain curves for upsetting after 40% pre-drawing by a 30° die for Mn steel
86
600
500
400 -Z .:.:: -CI) 300 u ... 0 LL
200
100
0 0
<>. Isotropie hardening
A H=200 (MPa)
o H=300 (Mpa)
~----------- ~ ----------_.
2 4
<>. ~-----~~~~~~--- ~----<>.~----~--~~~
~~-~~-----~
6
Displacement (mm)
8 10 12
Figure 5-9: Force versus displacement curves for the simulations of upsetting after
40% pre-drawing by a 15° die for Mn steel
-Z .:.:: -CI) u ... 0
LL
600,----------y-------------------------------------------,
500
400
300
200
<>. Isotropie hardening
D H=200 (MPa)
o H=300 (MPa) ---.----- -------~--- ~~------i
~~--------~ ------~----------~~
6 7 8 9 10
Displacement (mm)
Figure 5-10: Force versus displacement curves for the simulations of upsetting after
40% pre-drawing by a 60° die for Mn steel
87
250~---------------------r------------
-~ 200 :!: -If) If)
o Isotropie hardening
o H=200 (MPa)
A H=300 (MPa)
-Experiment tram literature
~ 'Wl..~-.-.:-:--:-: ... ~-":.~--:-:--:-.-.. -~~.-~~--~--~ .. ::::::-:-:--:-:;-;-~-~.-;;;;;:: cr: 100 Q) C)
~ Q)
> 50 cr:
o 0.2 0.4 0.6 0.8 1.2
Average Axial Strain
1.4 1.6 1.8
Figure 5-11: Simulation and experimental average axial stress versus average axial
strain curves for upsetting after 40% pre-drawing by a 15° die for Mn steel
"iù 200 a.. :!: -
o
o Isotropie hardening
o H=200 (Mpa)
A H=300 (MPa)
-Experiment tram literature
0.2 0.4 0.6
--
.------- - ---_.- ----~._----_._._-~
0.8 1.2 1.4 1.6 1.8
Average Axial Strain
Figure 5-12: Simulation and experimental average axial stress versus average axial
strain curves for upsetting after 40% pre-drawing by a 60° die for Mn steel
88
5.1.3 Comments
The comparisons of the simulation and experimental average axial stress versus average
axial strain curves for S45C and Mn steel in sections 5.1.1 and 5.1.2 shows that
simulations with the Johnson-Cook isotropic hardening material model result in higher
average stresses than those from simulations with the combined hardening material
model; and with increasing values of H, the corresponding average stress decreases.
These observations are in accordance with the characteristics of the isotropie hardening
model and combined kinematiclisotropic hardening model reviewed in Chapter 2.
Eliminating the anisotropy of a material and the Bauschinger effect developed during
plastic pre-straining, the isotropic hardening model assumes that after pre-straining, the
yield surface expands uniformly in the stress space without changing shape and direction.
As a result, after pre-straining the material described with the isotropic hardening model
hardens in aIl directions with equal increased magnitude. Therefore, the increased
reaction force of the die in the subsequent upsetting is expected.
On the other hand, the combined hardening model takes the Bauschinger effect into
consideration, assuming that after pre-straining, the yield surface simultaneously
undergoes both translation and expansion during the hardening processes. Consequently,
after pre-straining the material hardens in the forward direction, while softening in the
opposite direction, and increasing the kinematic hardening modulus, H , will enhance this
phenomenon. Therefore, after being pre-drawn, the materials hardened in the pulling
direction and softened in the opposite compressive direction; and increasing the kinematie
hardening modulus, H, increases the Bauschinger effect leading to the decreased reaction
force of the die and the decreased average axial stress.
When H equals 300 and 200 (MPa) for S45C and Mn steel, respectively, the
corresponding average axial stress versus average axial strain curves show a good
agreement with those obtained from the experimental works in the literature. Therefore,
the kinematic hardening modulus, H, for S45C and Mn steel were determined to be 300
89
and 200 (MPa), respectively. In addition, the good agreement between the simulation and
experimental results can provide evidence to validate the numerical simulations and the
proposed combined hardening material model.
5.2 Results of Simulations of Tests in Tozawa and Kojima's
Paper
Tests by Tozawa and Kojima (1971) for both S45C and Mn steel were performed quasi
statically. In simulations of the tests, the effect of strain and strain rate was considered,
while the effect of temperature was ignored.
5.2.1 Results of Simulations for S45C
Simulations for S45C defined in section 4.1 were performed with the combined hardening
model with H equal to 300 and 600 (MPa) and the Johnson-Cook isotropie hardening
model.
5.2.1.1 Contour Plot Illustration
The contour plots of the equivalent plastic strain and the maximum principal stress of the
rod obtained from the simulations with H equal to 300 (MPa) for the process with pre
drawing of 20% reduction in area are shown in Figures 5-13 and 5-14, respectively.
It is observed from Figure 5-13 that at the end of the drawing stage, the distribution of the
equivalent plastic strain across the cross-section of the rod is inhomogeneous, being the
lowest in the center to the highest on the exterior, which is caused by the subsurface
redundant deformation; at the cutting stage, the equivalent plastic strain of the imported
part remains unchanged since the imported part undergoes elastic springback, and no
90
further plastic deformation occurs; at the end of upsetting, the highest plastic strain is
reached in the center of the deformed part.
3D\J5 (Av.,. C~it.: 75~)
+5.5n.,-01. +5.13-6.,-01. +4.700.,-01. +4.2-64.,-01. +3.827.,-01. +3.391..,-01. +2:.954.,-01. +2:. 51.8.,-01. +2:. 081..,-01. +1.. -645.,-01. +1..209.,-01. +7.722.,-02 +3.357.,-02
At the end of drawing
3D\J5 (Av.,. Cxit.: 75~)
+4.229.,-01. +4.0-68.,-01. +3.908.,-01. +3.747.,-01. +3.587.,-01. +3.42-6.,-01. +3.2-6-6.,-01 +3.1.05.,-01 +2.945.,-01. +2.784.,-01 +2.-624.,-01. +2.4-64.,-01. +2.303.,-01
At the end of cutting
3D\J5 (Av.,. exit.: 7S~)
+2.438.,+00 +2.275.,+00 +2.11.3.,+00 +1..951..,+00 +1.. 789.,+00 +1.-627.,+00 +1..4-64.,+00 +1..302 .. +00 +1..1.40 .. +00 +9.779 .. -01. +8.1.57 .. -01 +-6.535 .. -01.
- + 4.913 .. -01.
At the end of upsetting
Figure 5-13: Contour of the equivalent plastic strain of the rod obtained from the
simulations with H equal to 300 (MPa) for the process with 20% pre-drawing by a
30° die for S45C
From Figure 5-14, it can be seen that at the end of the drawing stage, the lowest
maximum principal stress is in the center with a negative value indicating that the stresses
there are compressive in aIl directions, while the maximum principal stress at the exterior
surface reaches the highest positive value; during the cutting stage, the distribution of the
residual stresses over the cross-section of the wire maintains a similar distribution trend
with little change in magnitude due to the removal of the two ends of the rod; at the end
of the upsetting stage, the maximum principal stress at the equatorial surface reaches the
91
highest positive value, while the interior obtains the lowest negative value, implying
compression in aIl directions.
The distribution trends of the equivalent plastic strain and maximum principal stress
observed at the drawing and upsetting stage are in accordance with the observations from
simulations of drawing and upsetting processes in literature.
3, K=. PI: inc ip .. l (Av ... Crit.: 75~)
+>5.788,,+02 +5.844,,+02 +4.899,,+02: +3.955,,+02 +3.01.1. .. +02 +2.0157,,+02 +1..1.23 .. +02 +1.. '185,,+01. -'1.155'1,,+01. -1.. '11.0,,+02 -2.>554,,+02 -3.598,,+02 -4.542,,+02:
At the end of drawing
3, K=. Princip .. 1 (Av ... Crit.: '15~)
+>5.1.00,,+02 +5.259,,+02 +4.41.9 .. +02 +3.5'18 .. +02 +2. '138,,+02 +1.. 897,,+02 +1.. 057,,+02 + 2.1.>5>5,,+01. -15.238,,+01. -1.. 4>54 .. +02 -2.305 .. +02 -3.1.45,,+02 -3.98>5,,+02
At the end of cutting
3, K=. Pr inc ip .. l (Av". Crit.: 75~)
+1.. 03'1,,+03 +8.4'14,,+02 +>5.582,,+02 +4.>591.,,+02 +2. '199,,+02 +9.073,,+01. -9.844,,+01. -2.87>5,,+02 -4.7>58 .. +02 ->5 .>559,,+02 -8.551.,,+02 -1.. 044,,+03
~ -1..233,,+03
Region of highest maximum principal stress
At the end of upsetting
Figure 5-14:Contour plot of maximum principal stress (MPa) of the rod obtained
from the simulations with H equal to 300 (MPa) for the process with 20% pre
drawing by a 30° die for S45C
92
5.2.1.2 Results for the Material Point with the Highest Principal Stress
on the Exterior Surface of the Upset Rod
In this work, the Cockroft and Latham criterion (2.5), which assumes that external cracks
result from large tensile circumferential stresses, was chosen to evaluate external cracking
during the upsetting of the rod. Therefore, the element with the highest principal stress at
the end of the upsetting stage is of interest, which is on the exterior of the compressed rod
as indicated in Figure 5-14. To find such a material point, elements on the ex te ri or of the
compressed rod at the end of upsetting stage, were queried for their principal stress
values.
As defined in Chapter 4, the simulation models are axisymmtric, and the boundary
condition on the nodes of the elements at the exterior surface of the rod is free during the
simulation process (drawing, cutting, and upsetting) except when the elements are passing
through the die during the drawing process when contact at the interface causes a non
zero boundary condition on the surface. Therefore, the shear ( a rz) and radial (0 rr) stress
components at the integration points of the elements at the exterior surface should be non
zero only during the time when the elements are contacting with the die. The history of
stress components of the elements with highest principal stress from the simulations with
the combined hardening model with H equal to 300 (MPa), and the isotropic hardening
model are shown in Figures 5-15 and 5-17, respectively. The history of shear (orJ and
radial (0 rr) stress components in both figures shows that the simulation results are in
accordance with the expected behavior. Figure 5-16 and 5-18 presents the history of hoop
(eto) and axial (e~) plastic strain components of the elements with highest principal
stress from the simulations with the combined hardening model with H equal to 300
(MPa), and the isotropie hardening model, respectively.
It can be seen from Figures 5-15 to 5-18, that the drawing process involves five sub
stages. During sub-stage 1, the element approaches the drawing die, and only elastic
de formation occurs at the material point. At the beginning of sub-stage 2, the element
93
cornes into contact with the die, and separates from the die in the end. This is the most
important stage since plastic deformation during drawing takes place at this stage. AIl the
stress components were non-zero, and ho op and axial plastic strain components show a
negative and positive value, respectively. These simulation results are consistent with the
physical process since at this moment, the element is being compressed in the radial
direction and stretched in the axial direction. At the beginning of sub-stage 3, the shear
( a rz) and radial (a rr) stress components became zero since the element is through the
die. The plastic strain components remain unchanged implying no further plastic
deformation occurs. In addition, both the hoop stress caused by residual stress and the
axial stress caused by the drawing force remain stable. At sub-stage 4, as the end of the
rod approaches the die, the axial stress decreases since less drawing force is required, and
other components of stress and strain are unchanged. At sub-stage 5, the rod separates
from the die and undergoes elastic relaxation without further plastic deformation.
The cutting process 1S actuaIly a continuation of the sub-stage 5, and only elastic
relaxation occurs here. In the following upsetting process, the rod is compressed axially,
and consequently expands circumferentially. As a result, the axial plastic strain changes
from a positive value to a negative value, while the hoop plastic strain changes from a
negative value to a positive value, clearly indicating that reverse plastic deformation
occurs in both axial and circumferential directions. Therefore, the Bauschinger efJect
must be considered.
Figures 5-19 and 5-20 are plots of the history of the maximum principal stress, hoop
stress and axial stress of the elements with the highest principal stress from simulations
with the combined hardening model with H equal to 300 (MPa) and isotropie hardening
model, respectively. It is evident that during the drawing process except the sub-stage 2,
the maximum principal stress is the axial stress, while during the upsetting process it is
the hoop stress. Therefore, the principal stress changes ifs direction from the axial
direction to the circumferential direction during the en tire process (drawing, cutting and
upsetting).
94
1500 _ Shear Stress (MPa) A· Radial Stress (MPa) - Axial Stress (MPa) - Hoop Stress (Mpa)
1000
500 --
l 2 3 ·····--~-~iiiiiiiiiiii~
1 i 1 . . .. --------T- /.J;.;;i. ......... - .-·iiiiiiiiiiiiiiiiliiiiiiiiiiiijiiiiiiiiiiiiM ~---_ ....... -._.
~ 0 "'-__ IIII1"IIII--p'IIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII~IIIIIIIIIIII"IIIIIIIIIIII"jIII .1IIIIIIIIIII_1IIIIIIIIIII1IIIIIIIIIII .. ~---1 ~ 10 40 1 50i t/) 1 1 ~ û) -500----L -- t
1 i 1 1 1 ---L-I i 1 1 1
1 ________ -··-_·-_t_-___ ~I !<II-t--.. --.-.-- UpsettiJ:lg
":.~
-1000
-1500 Drawing
-2000 -L-_______________ _ Cutting
Time(ms)
Figure 5-15: History of hoop (0 88 ), axial (0 zJ, shear (0 rJ and radial stress (0 rr)
components of the element with the highest principal stress from the simulation with
H equal to 300 (MPa)
--Axial Plastic Strain
-*-Hoop Plastic Strain 0.6
0.4 l 2
t: 0.2 'Iii ... ..... CI) 0
10 20 i
-0.2 . _________ ---.L __ J 1 1 1 1
-0.4
••.. p:rawing -0.6.l......-----
3 4 1 .5 +
1
Time (ms)
80
Figure 5-16: History of hoop (e:8 ) and axial (e~) plastic strain components of the
element with the highest principal stress from the simulation with H equal to 300 (MPa)
95
Cil Il.
~ ln ln I!! .....
CI)
1500 _ Hoop Stress (MPa) _ Axial Stress (Mpa) -1>- Radial Stress (MPa) - Shear Stress (Mpa)
1000 1
500 --_. __ ._-----
0
10
-500
-1000
-1500 -Drawing
2
3
i 30 40 1 1 1
.. -tl-1 1 1 1 1 ········1 i i 1 1
SOi 1 1 i 1 (
1 1
5 Il ii-· ii
1------- 1 , ----II --------------------------~.II~~~-----
Cutting -2000
L-________________________ . _________ __
Time (ms)
Upsetting
Figure 5-17: Time history of hoop (0 ee), axial (0 zJ, shear (0 rz) and radial stress
(0 rr) eomponents of the element with the highest principal stress from the
simulation with the isotropie hardening
0.8
0.6
0.4
r::: 0.2 ïi ... ... U) 0
-0.2
-0.4
-0.6
~~~~~~~~--------~.---------------------------------, --*-Axial Plastic Strain
- Hoop Plastic Strain
1 2 3 5 1 --_._----+---------1
10
Drawing
--IT-----
i 1 i i 1 • ••
-- ---------11-Il
--------I.~i ~ Upsetting
Time (ms) Cutting
80
Figure 5-18: History of hoop (êto) and axial (ê~) plastic strain eomponents of the
element with the highest principal stress from the simulation with isotropie
hardening
96
li' a. ~ VI VI ~ û)
1500
1000
500
0
-500
~ Max. Principal Stress (MPa) - Axial Stress (Mpa) - Hoop Stress (MPa)
1 ,2 1 3 ! 4 ... -------I-p· 1Blllll1IIIIIiIIIII.-.-•. ~~--.
1 1 1
Il ir----·
10
Il
------ -i --- -r.L;;.liiiijiiiijiiililii·-.----.-.--.· -jiiiijiiil-· ifiiijiiiijiiiilijiil" 1
30 40
1 Il 1 Il 1 il
50i i~ 1 Il
..- ... \. Il
1 i i ~ ..... ""..,.
-1000 ---- : 1: : ~ i i 1 Il
-1500 . -- Drawing
1 Il Iii Il . I~--- 1
-------------I.~! !<III!.I---- Upsetting
Cutting -2000 .1....-____________________ .....•............... _ ..•........ --------'
Time (ms)
Figure 5-19: History of the maximum principal stress, hoop stress and axial stress of the element with the highest principal stress from the simulations with H equal to
300 (MPa)
1500 --+- Maximum Principal Stress (MPa) - Hoop Stress (MPa) - Axial Stress (MPa)
1000 1 Il
·fIfS---_IIk--j---I-t---- -1 Il
500
li' 0 a.
~ 10 VI VI ~ -500 -fi)
-1000
, " 40 50! !~
1 1 Il ·-·~--~-----ti i .: ii
3 i 4 5 ii*--...... -----i--- j- ·-ii----
i i ii i i ii
-1500 -- Drawing --'----ii------- - -- Upsetting -----t.~, :..1 •• 1----
-2000 2 Cutting ---------' Time (ms)
Figure 5-20: History of the maximum principal stress, hoop stress and axial stress of the element with the highest principal stress from the simulations with isotropie
hardening
97
Figures 5-21 to 5-23 present plots of history of the maximum principal stress for the
elements with the highest principal stress from simulations with the isotropie hardening
and the combined hardening model with H equal to 300 and 600 (MPa) for pre-drawing
of 10%, 20% and 40% reductions in area, respectively. It is clear that in general, the
isotropie hardening model gives the highest maximum principle stress, while H equal to
600 (MPa) generates the lowest maximum principal stress, implying that increasing H
decreases the corresponding maximum principal stress regardless of different reductions
in area.
Figure 5-24 shows the history of equivalent plastic strain of the elements with the highest
maximum principal stress for simulations with H equal to 300 (MPa). lt is observed that
after the drawing, the element obtained the largest equivalent plastic strain for simulation
with 40% reduction in area, while the element for simulation with 20% reduction in area
had the smallest equivalent plastic strain. The order in terms of the magnitude of the
equivalent plastic strain maintained throughout upsetting stage. Therefore, increasing the
reduction in area increases the equivalent plastic strain of the element with the highest
principal stress.
Figure 5-25 illustrates the history of maximum principal stress from simulations with
H equal to 300 (MPa). It can be seen that at the end of the drawing stage, the maximum
principal stress decreases with increasing reduction in area, and the maximum principal
stress for 40% reduction in area has the lowest value at the upsetting stage.
Figures 5-26 to 5-28 show the comparison of maximum principal stress versus equivalent
plastic strain results among the simulations with the combined hardening model with
H of 300 and 600 (MPa), and the isotropic hardening model. In general, increasing the
value of H decreases the maximum principal stress, and the simulations with the
isotropie hardening mode! have the highest maximum principal stresses when the
corresponding reductions in area are the same.
98
1500r-------------------------------------------------------,
ni Il.. 1000 :! - ------------------- Gi----=---==----5~ ln ln ~ 500 -CI)
ni .g- 0 ... ___ --..
c 10 20 1: Il.. E -500 :::J E ·x ~ -1000 -
30 40
---Drawing
50 i i 60
Il
70 80
-------.ji---- ----- Upsettîng ----I--,..~ . ........ t----Il
_________ Cutting -Isotropie hardening
-El- H=300 (MPa)
- H=600 (MPa) -1500L----------------------------------------~====~~==~==~
Time (ms)
Figure 5-21: History of maximum principal stress for simulations with 10% pre
drawing
- 1500 -.--.------------------ Cutting cu a.. ~ - 1000 tn tn ~ -tn
cu Q.
o C .~
Q.
E ::::s
500
10 30
Drawing --~~! ~-Upsetting Il
,---------- --it---- ----------.,AJ"'------
Il
-- ----~----~
40 50 70 80
E -500 -l----------------' ..... ---------------------------+-t--l-Isotropie hardening .~ 1 1 __ H=300 (MPa)
~ -~OO( -1 000 L __________________ .....::::::::::::::::::::::::::~::::;;:::::::::::::r
Time (ms)
Figure 5-22: History of maximum principal stress for simulations with 20% pre
drawing
99
1500~--~~~~~~~----------------~·(=uttin~-------------·~ -Isotropic hardening
_ --H=300 (MPa) ft!
-Drâ~itig ----I~ .. !·~Ûp~~Ùing Il - .
Il. - H=600 (MPa) ~ 1000 +------ -._----------- ._-'II-------'-=---.,.,.
ii ~--- --++---- .-.- --------1-----.,-----
1/) 1/)
e ... 1/)
Cü .~ 500 c .;: c.. E
i i Il
Il
:J E O .... ~~--~~~---~----~---~~-~----~--~ .;< ft! ~Q 70 50 80 40
::E Il
-500~----------------------------------------------------~
Time (ms)
Figure 5-23: History of maximum principal stress for simulations with 40% pre
drawing
1.6,-----------,--- .-----------------.-----, --*- Reduction 10%
1.4 - Reduction 20% --
- Reduction 40% .!: ~ 1.2 ...
CIJ C.) 1 -;; 1/)
.!!! Il. 0.8 Drawing ... c -! 0.6 +----
.2: g. 0.4 W
0.2+-----
o 10 20 30
------------ - -- -----
--·~y:tting ____ ··::i::,;~i)'
1 1 ~i i ----'-+. - . ----.iIIP'----c
1 1 1 1
1 1 j--j. 1 1
40 50 60 70
Time (ms)
'.
Upsetting
80 90
Figure 5-24: History of equivalent plastic strain for simulations with H equal to 300
(MPa)
100
, .. ./... CpttiIlg Drawing--+! ~Upsetting
1500 ,..-------'
Ci a.. 1000 ,..--.... .----t1------ . :li! -
30 40 50
-1000-- - -
Time (ms)
Il
tll !!
70 80
--------I-t-- -- .- -----------
Il
-10% reduetion in area
- 20% reduetion in area
- 40% reduetion in area
Figure 5-25: History of maximum principal stress for simulations with H of 300
(MPa).
1500,-------------------------------------------------------,
-~ 1000 :li! -
---------------j,. ... -.,-"--------- -
0.8 1.0 1.2 1 4
-----------------1
-Isotropie hardening
-&- H=300 (MPa)
~ H=600 (MPa) -1500 L ____________________ -=====~;;;;;;.;;;;=="
Equivalent Plastic Strain
Figure 5-26: Maximum principal stress versus equivalent plastic strain for
simulations with 10% pre-drawing
101
1500
li Il. 1000 :!E -1/1 1/1 G) ~ ...
500 en ni c. 'u s:: ';: 0 Il.
E o. ~
E ')( -500 ni
:!E
-1000
-_ .. _-----.---
0.60 0.80 1.00 1.20 1. 0
.... -Isotropie hardening
-e- H=300 (MPa)
- H=600 (MPa)
Equivalent Plastic Strain
Figure 5-27: Maximum principal stress versus equivalent plastic strain for
simulations with 20% pre-drawing
1400
1200 li Il. 1000 :!E -1/1 800 1/1 G) ~ ...
600 en cu c. 400 'u s:: ';: 200 Il.
E 0 ~
E ')( -200 ni
:!E -400
-600
..... -----II-.J_
0.8 1.2 ,--_L4.. __ ..l...b~_~
Equivalent Plastic Strain
-Isotropie hardening
... -e- H=300 (MPa)
-iIE- H=600 (MPa)
Figure 5-28: Maximum principal stress versus equivalent plastic strain for
simulations with 40% pre-drawing
102
5.2.1.3 Calculations of Reduction in Height from Simulation Results
Before determining reduction in height from simulation results, which is defined as
h -h o Ir xl 00% , where ho and h 'r are the original height and the height at fracture of the
h J' o
compressed rod, the Cockroft and Latham constant was first determined numerically.
Then this value was used as a benchmark to predict the initiation of the fracture of the
rod. Finally, using the heights to fracture, the reductions in height of the compressed rods
were calculated.
1200
cv Q.. 1000 ~ 1/1 1/1 CI) 800 ----... ....
Cf)
ni Cl. 600 u c 'C Q..
400 E :::l
E 'x ni
200
~
0
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9
Equivalent Plastic 5train
Figure 5-29: Maximum principal stress versus equivalent plastic strain curve of the
element with the highest maximum principal stress for the simulation with the
combined hardening model with H of 300 (MPa) without pre-draw
In this work, the Cockroft and Latham constant for S45C was determined from the results
of the simulation for upsetting without pre-draw on the rod. At the end of the upsetting
simulation, elements on the exterior surface of the rod were queried for their principal
stress values. The maximum principal stress versus equivalent plastic strain result for the
element with the highest maximum principal stress was extracted and shown in Figure 5-
103
29 for the simulation with the combined hardening model with H of 300 (MPa) without
pre-draw. The value of the Cockroft and Latham constant, which is the area between the
curve and the x-axis, was computed from equation (2.4) to be 313.99 (MPa). The values
of the constant were also ca1culated in the similar way for the combined hardening model
with H of 600 (MPa) and the isotropie hardening model to be 314.32 (MPa) and 310.07
(MPa), respectively.
Similarly, the accumulated Cockroft and Latham parameter "C2 " in (2.5) from the
beginning of the drawing stage to the end of the upsetting stage were ca1culated. During
the ca1culations, the negative areas between the maximum principal stress versus
equivalent plastic strain curve and the x-axis were not included since compressive
maximum principal stresses do not contribute to the ductile fracture. The evolution of the
accumulated "C2 " for simulations with the combined hardening model with H of 300
and 600 (MPa), and the isotropic hardening model are plotted in Figures 5-30 to 5-32,
respectively.
700 Cil """*- 10% reduction in area D.. ~ 600 -El- 20% reduction in area f------------------~I ... CI) -A- 40% reduction in area ... CI)
500 E e cv
D.. 400 E cv oC
300 ... cv
...J "C c 200 cv ~ 0 ... 100 ~ (,,)
0 0
0 0 0.2 0.4 0.6 0.8 1.2 1.4 1.6
Equivalent Plastic Strain
Figure 5-30: Evolution of the accumulated Cockroft and Latham parameter for
simulations with the combined hardening model with H equal to 300 (MPa)
104
700r--------------------,---------------------------------------. ~ 10% reduction in area Ci
n. ~ 600 ......... 20% reduction in area
; -e- 40% reduction -CI) 500 E f! ca n. 400 E ca :5 300 ca ...J '0 ~ 200
::: e ..lIC: 100 o o (J
o 0.2 0.4
-- --------- -------------- ----
0.6 0.8 1.2 1.4
Equivalent Plastic Strain
Figure 5-31: Evolution of the aeeumulated Coekroft and Latham parameter for
simulations with the eombined hardening model with H equal to 600 (MPa)
1.6
700,-----------r-----~--------------------------------_, Ci ~ 10% reduction in area n. ~ 600 -- 20% reduction in area "CI) - -e-40% reduction
CI) 500 E f! ca n. E ca .c -ca ...J '0
400 -------
300
~ 200 --
~ ..lIC: o o (J
100 _._-----~--------:::------o 0.2 0.4 0.6 0.8
Equivalent Plastic Strain
1.2 1.4
Figure 5-32: Evolution of the aeeumulated Coekroft and Latham Parameter for
simulations with isotropie hardening model
1.6
105
The predicted heights to facture and the corresponding reductions in height of the
compressed rods corresponding to the accumulated Cockroft and Latharn parameters
which are equal to the Cockroft and Latham constants calculated previously, are shown in
Tables 5-1 to 5-3 for the simulations the with the combined hardening model with H of
300 and 600 (MPa), and the isotropic hardening model, respectively. According to Figure
2-7 and Table 4-5 (a), the heights to fracture and the reductions in height from the
experiments in the literature are obtained and shown in Table 5-4. The comparisons of the
heights to fracture and the reductions in height between the simulation and experimental
results are shown in Table 5-5 and 5-6.
Without pre- 10% pre- 20% pre- 40% pre-drawing drawing drawing drawing
Predicted heights 3.81 4.33 4.45 5.07 to fracture (mm) Reductions III 68 64 63 58 height (%)
Table 5-1: Predicted heights to fracture and reductions in height for simulations
with H of 300 (MPa)
Without pre- 10% pre- 20% pre- 40% pre-drawing drawing drawing drawing
Predicted heights 3.81 3.56 3.62 3.03 to fracture (mm) Reductions III 68 70 70 75 height (%)
Table 5-2: Predicted heights to fracture and reductions in height for simulations
with H of 600 (MPa)
Without pre- 10% pre- 20% pre- 40% pre-drawing drawing drawing drawing
Predicted heights 3.81 5.14 5.40 6.19 to fracture (mm) Reductions in 68 57 55 48 height (%)
Table 5-3: Predicted heights to fracture and reductions in height for simulations
with isotropic hardening model
106
Without pre- 10% pre- 20% pre- 40% pre-drawing drawing drawing drawing
Experimental heights 3.81 3.38 3.03 3.47 to fracture (mm)
Reductions in height 68 (%)
72 75 71
Table 5-4: Heights to fracture and reductions in height from the experiments in the literature
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
(mm) (mm) (mm) (mm) (mm) (mm) H=300
4.33 4.45 5.07 (MPa) H=600
3.56 3.38 3.62 3.03 3.03 3.47 (MPa)
Isotropic 5.14 5.40 6.19 hardening
Table 5-5: Comparisons of heights to fracture between the simulation and
experimental results
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
H=300 64% 63% 58% (MPa)
H=600 70% 72% 70% 75% 75% 71% (MPa)
Isotropic 57% 55% 48% hardening
Table 5-6: Comparisons of reductions ID height between the simulation and
experimental results
The differences of reduction in height between the predicted values from the simulations
and the corresponding values from literature, which is defined as
literature - predicted . . . -----"'-----xlOO%, are shown III Table 5-7. It IS observed that dlfferences for
literature
simulations with the combined hardening mode! with H of 300 (MPa) are in the range of
Il % to 19%, and for simulations with the isotropic hardening model, the y are in the range
of 21 % to 32%, which indicates that the combined hardening mate rial model is more
107
aeeurate in predieting material behavior in this reverse loading proeess (drawing and
cutting followed by upsetting) than the isotropie hardening model. In addition, the
differences between the experimental results and those from the simulations with the
combined hardening model with H of 600 (MPa) are in the range of 2% to 7%, implying
that the eombined hardening material model has the potential to eorreetly prediet the
material behavior in the reverse loading proeess.
10% pre-drawing 20% pre-drawing 40% pre-drawing
H= 300 (MPa) 11% 16% 19%
H= 600 (MPa) 2% 7% 5%
Isotropic hardening 21% 26% 32%
Table 5-7: Differences of reduction in height
As indicated in Figures 5-16 and 5-18, reverse plastic deformation definitely occurred in
both axial and circumferential direction. Therefore, due to the Bauschinger effect in this
mutiaxial state of stress, the combined hardening model generally predicts lower
maximum principal stress for the element with highest maximum principal stress than the
isotropic hardening model does; and also increasing the kinematic hardening modulus H ,
the predicted maximum principal stress decreases, as illustrated in Figures 5-21 and 5-23.
The lower maximum principal stress leads to a smaller accumulated Cockroft and Latham
parameter for the same amount of plastic deformation. Hence, when the accumulated
Cockroft and Latham parameter reaches the value of the Cockroft and Latham constant,
the reduced height of the compressed rod for the simulation with the combined hardening
model is larger than that for the simulation with the isotropic hardening mode!.
Accordingly the predicted height to fracture for the simulation with the combined
hardening model is smaller than its counterpart for the simulation with the isotropic
hardening model as shown in Table 5-5; moreover, the reduction in height for the
simulation with the combined model is larger than its counterpart for the simulation with
the isotropic hardening model, as shown in Table 5-6.
However, although the combined hardening model is much better than the isotropic
hardening model in predicting surface crack during upsetting after pre-plastic-straining,
108
there are still Il % to 19% discrepancies of reduction in height between the predicted
results from the simulations with the combined hardening model with H of 300 (MPa) and
the results from the experiments in the literature. As reviewed in Chapter 1 and Chapter 2,
the forming process is limited by a complicated interplay of many factors, among them
the possible factors that may contribute to the discrepancies are discussed as follows:
• Material property factor
In this work, the material parameters of the Johnson-Cook material model, A, Band
n, were determined from the average axial stress versus average axial plastic strain
results of inhomogeneous compression test, which should be different from those
determined from homogeneous compression test. In addition, material constants, C
and m, obtained from the comparable steels in the literature may be also different
from the values determined experimentally.
• Friction factors
Since the actual friction conditions are unknown, friction factors for both drawing and
upsetting process are taken from the literature. Possible differences between the
values used in the simulations and actual values may exist.
• Cockroft and Latham criterion
The successful applications of the Cockroft and Latham criterion in the literature are
on monotonic forming processes such as tension, compression, extrusion and
drawing. Throughout the se processes, the direction of the maximum principal stress at
the potential fracture material point is unchanged. However, in this work, the
direction of the maximum principal stress of the element with highest maximum
principal stress on the surface of the rod was changed from the axial direction during
drawing to the circumferential direction during upsetting, as illustrated in Figures 5-
19 and 5-20. This may result in the deviation of the accumulated Cockroft and
Latham parameter.
• Material model
The proposed combined hardening material model is linear kinematic and nonlinear
isotropie. Although the linear kinematic hardening model is simpler than the nonlinear
kinematic hardening model, it is "stiffer" than the nonlinear kinematic hardening
109
model. The "stiffness" of the linear kinematic hardening model can be a factor
contributing to the discrepancies in this work.
5.2.2 Results of Simulations for Mn Steel
Simulations for Mn steel are defined as in section 4.1 and are performed with the
combined hardening model with H equal to 200 (MPa) and the Johnson-Cook isotropic
hardening model. The simulations with pre-drawing by a 30° die are also performed with
the combined hardening model with H equal to 470 MPa to see the effect of increasing
H.
5.2.2.1 Results for the Material Point with the Highest Principal Stress
on the Exterior Surface of the Upset Rod
The history of equivalent plastic strain plots comparing simulations results among
different approach die angles for the simulations with the combined hardening model with
H of 200 (MPa) are shown in Figures 5-33 to 5-35 for the cases with pre-drawing of
10%, 20% and 40% reductions in area, respectively. It is evident that for fixed reduction
in area, increasing approach die angle increases the equivalent plastic strain; moreover,
as the reduction in area increases, the difJerences of the equivalent plastic strains
between difJerent approach die angles for the fixed reduction in area diminish.
The maximum principal stress versus equivalent plastic strain plots comparmg
simulations results among different approach die angles for the simulations with the
combined hardening model with H of 200 (MPa) are shown in Figures 5-36 to 5-38 for
the cases with pre-drawing of 10%, 20% and 40% reductions in area, respectively. These
curves were used to calculate the accumulated Cockroft and Latham parameter. It is
observed the maximum principal stress does not change significantly with the different
approach die angles in terms of the maximum magnitude.
110
2.5 .,-------r------------ClJfting -&-60 degree l' ••..
--*- 30 degree Drawing -----t~~! !.--llpS~~t~rig 2 -+-15dgree ~-------------------~--------_.~-----_4
c 1,~ èi) 1.5 o ~ ln CV il: ... c Q)
cv ,~ 0.5-::J 0" W
10 20 30 40
l' --------W--l' ,1 l' ,1 l' -----'-!
50
-0.5 -1....... ______________ _
Time (ms)
60 70 80
Figure 5-33: History of equivalent plastic strain for simulations with pre-drawing of
10% reduction in area with the combined hardening model with H of 200 (MPa)
2.5 ~--------L _____________ • ____________ ___,
-fIII- 60 degree
~30degree
,!: 2 -a- 15 degree E -(J)
o :; 1.5 ln ~ Q. -c ~ cv ,~ ::J 0" W 0.5
o 10 20
Cutting ___ ... ~j ~ Upsetting .. ' Drawing .... 1.....-----
1 1 1 1 1 --j
-l1li-------- - ----,
30 40 50
Time (ms)
60 70 80 90
Figure 5-34: History of equivalent plastic strain for simulations with pre-drawing of
20% reduction in area with the combined hardening model with H of 200 (MPa )
111
2.5.-----------r----------------------------------------------~ --60 degree Cutting - 30 degree Il
"= f! 2 --15 rlon,yoo r-----~ Drawing .! I~ Upsetting
..... en ~ 1.5 -1--... ----.-.. -... ---.. -1/) CU ii: ..... c: CI) +-_. __ .. _ ...... _ .. _------_ .. __ ..
1 1 .... -~----.-. r--·-----·---· 1 1
ni "~ ::l C" W 0.5 -1--.-_.--.-.. ---&;=._. __ ._=----=._.-.;;.. . ._ ... _._._ .. _ .. __ .
0 ____ •
o 10 20 30 40 50
Time (ms)
60
" " 70 80 90 100
Figure 5-35: History of equivalent plastic strain for simulations with pre-drawing of
40% reduction in area with the combined hardening model with H of 200 (MPa)
1500
êi 1000 Q.
:iE -1/) 1/)
500 CI) ... ..... en ni Cl. 0 "0 c: ";: Q.
E -500 ::l E "x CU -1000 :iE
-1500
1.5 2 25 ---+---_. __ ... _ .. _-----------_ .. _ ... _-.. _-------_ ..
Equivalent Plastic Strain
____ -e-15 degree
--*- 30 degree
-I:s- 60 degree
Figure 5-36: Maximum principal stress versus equivalent plastic strain results for
simulations with pre-drawing of 10% reduction in area with the combined
hardening model with H of 200 (MPa)
112
1500
li 1000 Q..
:E -1/) 1/)
500 f .. CI)
ii C- O "u t: ï: Q..
E -500 ::l
E ">< ni -1000 :E
-1500
1.2 1.4 1.6 1.8
_____________________ j -e- 15 degree
""""*- 30 degree -b- 60 rio,nro,o
Equivalent Plastic Strain
Figure 5-37: Maximum principal stress versus equivalent plastic strain results for
simulations with pre-drawing of 20% reduction in area with the combined
hardening model with H of 200 (MPa)
li Q.. :E 1000 -t----------------------h ... ----lIf----
500 1IIi_---------
1.2
Equivalent Plastic Strain
1.4 1.6 1 8
-e- 15 degree
""""*- 30 degree -b- 60 rio,nro,o
Figure 5-38: Maximum principal stress versus equivalent plastic strain results for
simulations with pre-drawing of 40% reduction in area with the combined
hardening model with H of 200 (MPa)
113
5.2.2.2 Calculations of Reductions in Height from Simulation Results
Following the sarne procedure as used in section 5.2.1.3, the Cockroft and Latham
constants, the accumulated Cockroft and Latham parameters, the predicted heights of the
rods to fracture, the reductions in height and the differences between the predieted
reduction in height and the reduction in height from the experiments in the literature were
calculated. In addition, the heights to fracture for the experiments in the literature are
presented in Tables 4-5 (b), and the corresponding reductions in height is obtained
according to Figure 2-7 and is shown in Table 5-8.
Without pre- 10% reduction 20% reduction 40% reduction drawing
15° approach angle 75% 79% 81% 82% 30° approach angle 75% 76% 78% 81% 60° approach angle 75% 72% 77% 78%
Table 5-8: Reductions in height for the experiments in the literature
Table 5-9 shows the calculated Cockroft and Latham constants from simulations without
pre-drawing. Tables 5-10 to 5-12 present the comparison of the predicted and
experimental heights to fracture for the processes with 15°, 30° and 60° approach angles,
respectively. The comparisons of the corresponding reductions in height between the
predicted and experimental results are shown in Tables 5-13 to 5-15. Finally, the
differences between the predieted and experimental reductions in height are shown in
Tables 5-16 to 5-18.
It is evident that results from simulations with the combined hardening material model are
much closer to those from the experiments in the literature than simulations with the
Johnson-Cook isotropie hardening material model although clearly the agreement for the
case of a 40% reduction is not as good as that for 10% and 20% reductions. The reasons
for the discrepancies between the simulation and experimental results can be concluded
similarly to section 5.2.1.3.
114
H=200 (MPa) Isotropic hardening H=470 (MPa)
Cockroft and Latham constant 461.50 461.47 459.61
(MPa)
Table 5-9: Calculated Cockroft and Latham constants
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
(mm) (mm) (mm) (mm) (mm) (mm) H=200 3.32 3.43 4.53 (MPa)
Isotropic 2.49 2.31 2.18
hardening 3.54 3.64 5.21
Table 5-10: Comparison of the predicted and experimental heights to fracture for
the process with 15°approach angle
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
(mm) (mm) (mm) (mm) (mm) (mm) H=200
3.53 (MPa) 3.72 4.14
H=470 2.83 2.83 2.63 2.31
(MPa) 3.00 3.13
Isotropic 3.94 4.16 5.01 hardening
Table 5-11: Comparison of the predicted and experimental heights to fracture for
the process with 30oapproach angle
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
(mm) (mm) (mm) (mm) (mm) (mm) H=200 4.20 4.18 5.55 (MPa)
Isotropic 3.33 2.80 2.58
hardening 5.25 5.36 7.06
Table 5-12: Comparison of the predicted and experimental heights to fracture for
the process with 60oapproach angle
115
10% pre-drawing 20% pre-drawin& 40% 2fe-drawing Predicted Experimental Predicted Experimental Predieted Experimental
H=200 72% 72% 62% (MPa)
79% 81% 82% Isotropie hardening
71% 69% 57%
Table 5-13: Comparisons of reductions in height between the simulation and
experimental resuIts for the process with 15° approach angle
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
H=200 71% 69% 66% (MPa)
H=470 76% 76% 75% 78% 74% 81% (MPa)
Isotropic 67% 65% 58% hardening
Table 5-14: Comparisons of reductions in height between the simulation and
experimental resuIts for the process with 300 approach angle
10% pre-drawing 20% pre-drawing 40% pre-drawing Predicted Experimental Predicted Experimental Predicted Experimental
H=200 65% 65% 54% (MPa)
Isotropic 72% 77% 78%
hardening 56% 55% 41%
Table 5-15: Comparisons of reductions in height between the simulation and
experimental resuIts for the process with 60° approach angle
10% reduction 20% reduction 40% reduction H= 200 (MPa) 9% 11% 24%
Isotropic hardening 10% 15% 30%
Table 5-16: Differences of reduction in height between results from simulations and
literature for 15° approach angle
116
10% reduction 20% reduction 40% reduction H= 200 (MPa) 7% 12% 19% H=470 (MPa) 0% 4% 9%
Isotropic hardening 12% 17% 28%
Table 5-17: Differences of reduction in height between results from simulations and
literature for 30° approach angle
10% reduction 20% reduction 40% reduction H= 200 (MPa) 10% 16% 31%
Isotropic hardening 22% 29% 47%
Table 5-18: Differences of reduction in height between results from simulations and
literature for 60° approach angle
5.3 ResuIts of Simulations of Tests in Gill and Baldwin's Paper
Tests by Gill and Baldwin (1964) are performed dynamically. Hence, the effect of strain,
strain rate and temperature were taken into account when simulating this dynamic
process. As defined in Chapter 4, the simulations were only performed for Mn steel using
the combined hardening material mode1 with H equal to 200 (MPa) and the Johnson
Cook isotropic hardening material model.
5.3.1 Contour Plot Illustration
The contour plots of equivalent plastic strain, the maximum principal stress and
temperature of the rod obtained from the simulations with pre-drawing of 20% reduction
in area are shown in Figures 5-39 to 5-41, respectively. The distributions of equivalent
plastic strain and the maximum principal stress have the same trends as those in Figures
5-13 and 5-14 for S45C.
117
3D'U5 (Av",. C"it.: ?5~)
+5.52:0",-01 +5.090",-01 +4."/h50",-01. +4.229",-01. +3.?99",-01 +3.3-.59",-01 +2.939",-01. +2.509",-01. +2.0?9",-01 +1.-.548",-01 +1.218",-01. +?880",-02 +3.5?9",-02
Drawing
3D'U5 (Ave. exit.: 1,5~)
+4.1.80",-01. +4.031.",-01. +3.882",-01. +3.133",-01 +3.583",-01 +3.434",-01 +3.285",-01 +3.13-.5",-01 +2.98-.5",-01 +2.63?",-01. +2.-.588",-01 +2.,539",-01 +2.390",-01.
Cutting
3D'U5 (Av",. C"it.: 15t)
1 :~: t~~::gg +2.383",+00 +;2: H 192e:+OO +2.000",+00 +1.. 809",+00 +1..-.51. 1",+00 +1_ 42:"'I5e+OO +1..234",+00 +1.043",+00 +8.51.0",-01. +-.5.595",-01 +4.-.560",-01.
Upsetting
Figure 5-39: Contour plot of equivalent plastic strain for 20% reduction
3~ ~~_ Princip~l
(Ave. Crit.: "15%)
1 .. '.> •. +>5.6'18",+02 0/- +S_872:e+02
+4.8-6?e+02: +3 _ 8-.52:e+02: +Z.857e+02 +1.SS:1e+Oz. +8 _ 4Sge+O:l. -:1. 594e+O:1. -1..1.>55",+02 -;2 _ :1.?Oe+02
i1®': -:).:::t..7Se+02 -4_1..8:l.e+02 -5 _ :.1..S..se+02
Drawing
:3 t" M~ _ pz:: inc ip.:a.l (Ave. Crit_: ?5:fe;)
124. !~: ii-g~:g~
+4_ 270-=.+02 +3_42:2e+02: +2: _ 574e+02 +:1..725e+02: +S.773of!:+O:l. +;2: _ 907e+OO -8. 191..e+O:1. -:1..-5..s7e+02: -;2: _ 51.5e+02: -3 _ 3-.54e+02: -4.2::1..2:of!:+02:
Cutting
s~ H~_ Principal (Ave. Crit.: 7S:fe;)
1+9.3'15'",+02
, +7.-.512e+02 +S_845e+02:: +4.078e.+02: +2 _ 312e+02 +5. 450e+O:l. -:1.2:2:2:e+02: -2.S"88e+02: -4.75Se+02 -p.522e+OZ -S.2:88e+02: -:1._ 00-6e+03 -:l...l.82e+03
Upsetting
Figure 5-40:Contour plot of maximum principal stress (MPa) for 20% reduction in
area
118
SDU:l:5 (Ave_ C~it_: 7S~)
1+:,--21."1,,+02 +1_ 12:0e+02 +:1._ 02::J:e+02 +9 _ 2-63e+01 +3 _ 2: SJ'4e+ 0:1. +7 _ :J:2:-Se+O:l. +-.5 _ 3 S..se+O:1. +5 _ 38:7e+0:1. +4_ 41.8 e+ 0:1. +3_44S'e+O:1. +2_4$Oe+01 +:1._ 5:l.1e+O:1. +S_41."7e+OO
Drawing
SDV1.-.5 (Ave_ C~it_: 75_)
1 !~: ~~~:!gI +S_:l.44e+01 +?_808e+O:l. +7 _ 473e+01 +'i'_:l.38e+O:1. +-6_802e+01 +-.5_4'.57e+01 +"15 _ 1.31oe'+O:1. +5 _ ?S'-oe+01 +5 _ 4.50e+O:l. +5_:l.25e+O:l. +4_ 7SS'e+01
Cutting Upsetting
Figure 5-41:Contour plot of temperature eC) for 20% reduction in area
It is observed from Figure 5-41 that the distribution of the temperature across the cross
section of the rod follows the same trend as the distribution of equivalent plastic strain.
This is in agreement with the fact that the heat generated from plastic deformation
increases with the increasing equivalent plastic strain.
5.3.2 Calculations of Cold Heading Limit from Simulation Results
Similar ta section 5.2.1.3, the Cockroft and Latham constant was determined first from
the simulation without pre-drawing, which was taken to be the accumulated Cockroft and
Latham parameter from the beginning of the drawing stage to the point, where the ratio of
the current diameter to the initial diameter of the rod reaches the cold heading limit of 2.2
for upsetting without pre-drawing as shown in Figure 2-6. The values of Cockroft and
Latham constant computed from simulations without pre-draw with the combined
hardening model and Johnson-Cook isotropic hardening model are 549.37 and 587.05
(MPa), respectively. Then the se two values were used as benchmarks to evaluate the
119
accumulated Cockroft and Latham parameters for simulations with different approach
angles using the combined hardening model and the Johnson-Cook isotropie hardening
model, respectively. When the accumulated Cockroft and Latham parameters reach the
corresponding Cockroft and Latham constant, fracture is assumed to occur. The radius of
the rods to fracture are shown in Tables 5-19 to 5-21 for approach angles of 7°, 15° and
30°, respectively. The corresponding ratios of the fracture radius to the initial radius of
the rod were calculated, and those from the experiments in the literature were obtained
according to Figure 2-5. The comparisons of the predicted and experimental ratios are
shown in Tables 5-22 to 5-24. The differences between the predicted and experimental
. h· h· d f· d literature - predicted 10001 h . T bl 5 25 5 ratlos, w IC IS e me as x ~/o, are s own m a es - to-literature
27.
Without 20% reduction 40% reduction 60% reduction reduction (mm) (mm) (mm) (mm)
H= 200 (MPa) 8.80 8.43 6.88 6.91 Isotropic 8.80 7.90 6.28 5.90 hardening
Table 5-19: Radius ofthe rods to fracture for 7° approach angle
Without 20% reduction 40% reduction 60% reduction reduction (mm) (mm) (mm) (mm)
H=200 (MPa) 8.80 8.36 7.30 8.12 Isotropie 8.80 7.96 6.02 6.36 hardening
Table 5-20: Radius of the rods to fracture for 15° approach angle
Without 20% reduction 40% reduction 60% reduction reduction (mm) (mm) (mm) (mm)
H=200(MPa) 8.80 8.20 7.71 7.39 Isotropie 8.80 7.50 6.60 5.52 hardening
Table 5-21: Radius of the rods to fracture for 30° approach angle
120
20% reduction 40% reduction 60% reduction Predicted Experimental Predicted Experimental Predieted Experimental
H=200 2.11 1.72 1.73 (MPa)
Isotropie 2.34 2.40 2.13
hardening 1.98 1.57 1.48
Table 5-22: Comparisons of ratios of the fracture radius to the initial radius of the
rod between the simulation and experimental resuIts for 7° approach angle
20% reduetion 40% reduetion 60% reduction Predicted Experimental Predicted Experimental Predieted Experimental
H=200 2.09 1.83 2.03 (MPa)
2.51 2.59 2.37 Isotropie hardening
1.99 1.51 1.59
Table 5-23: Comparisons of ratios of the fracture radius to the initial radius of the
rod between the simulation and experimental resuIts for 15° approach angle
20% reduction 40% reduction 60% reduction Predicted Experimental Predicted Experimental Predieted Experimental
H=200 2.05 1.93 1.85 (MPa)
Isotropie 2.23 2.11 1.90
hardening 1.88 1.65 1.38
Table 5-24: Comparisons of ratios of the fracture radius to the initial radius of the
rod between the simulation and experimental resuIts for 30° approach angle
20% reduction 40% reduction 60% reduetion H= 200 (MPa) 10% 28% 19%
Isotropie hardening 15% 35% 31%
Table 5-25: Differences between the predicted and experimental ratios for 7°
approach angle
121
20% reduetion 40% reduetion 60% reduetion H= 200 (MPa) 17% 29% 14%
Isotropie hardening 21% 42% 33%
Table 5-26: Differences between the predicted and experimental ratios for 15°
approach angle
20% reduetion 40% reduetion 60% reduetion H= 200 (MPa) 8% 9% 3%
Isotropie hardening 16% 22% 27%
Table 5-27: Differences between the predicted and experimental ratios for 30°
approach angle
It is obvious that in general, for the dynamie proeesses, results from simulations with the
combined hardening material model are mueh doser to those from the experiments in the
literature th an simulations with Johnson-Cook isotropie hardening material model. The
agreement for the case of 30° approaeh angle is the best with the differences in the range
of 3% to 9%. However, for the similar reasons to section 5.2.1.3, larger differences still
exist in the case of 7° and 15° approaeh angle.
122
6. Conclusions and Future Work
6.1 Conclusions and Summary
One of the most common industrial cold forging processes is cold heading of steel wire or
rod to pro duce screws, bolts, nuts and rivets. The forming process is limited by a
complicated interplay of many factors. The amount of cold work (pre-drawing) is one of
the factors. Although several investigations into effects of pre-drawing on the formability
of metal materials during cold heading processes have been conducted, so far no attention
has been given to the numerical simulations of this phenomenon. Most numerical
simulations of bulk forming processes in literature are limited to a single process such as
drawing, extrusion, or upsetting.
In this work, physical tests investigating the effects of pre-drawing on the formability of
three metals, S45C, Mn steel and AISI 1335, from two papers in literature (Gill and
Baldwin, 1964; Tozawa and Kojima, 1971) are simulated with finite element software
ABAQUS v6.4. Since the chemical composition of Mn steel and AISI 1335 are similar,
they are treated as the same material. The tests are simulated with three successive FE
numerical models: the drawing model, the cutting model and the subsequent upsetting
model. The drawing and upsetting models were performed using the finite element
software ABAQUS/Explicit v6.4 package, while the cutting model was performed using
finite element software ABAQUS/Standard v6.4 package. The cutting process was
modeled by the "import" function in ABAQUS, which imports the material state of the
one-third of the drawn rod in the middle from the last increment of the drawing
simulation. Then after elastic springback in the cutting simulation, it is imported into the
upsetting model to be upset between two flat dies.
A new combined linear kinematic/nonlinear isotropie hardening constitutive model is
proposed and derived to account for the Bauschinger effect existing in reverse plastic
deformation. It is implemented into the ABAQUS/Explicit v6.4 by a user subroutine
VUMAT, which is used as an interface to specify a new material model in the
123
ABAQUS/Explicit v6.4 package. The VUMAT is verified by single-element tests under
tension, compression and reverse loading conditions.
An elastic-plastic model is assumed for both S45C and Mn steel. The elastic behavior of
the material model is assumed to be linear and isotropic, while the plastic behavior of the
material model is described by the new combined linear kinematic/ nonlinear isotropic
hardening model since both materials in the literature undergo reverse loading conditions.
In addition, for the purpose of comparison, the Johnson-Cook isotropie hardening model
is also applied for both materials.
The material constants of the Johnson-Cook isotropie hardening model are determined
using the resuIts of the simple compression test, while the kinematic hardening modulus
H was determined by fitting the average axial stress versus average axial strain curves
from the resuIts of simulations with the proposed combined hardening model to those
from the experimental resuIts in Tozawa and Kojima's paper (1971).
The good agreement between the simulation and experimental average axial stress versus
average axial strain curves indicates that the Bauschinger effect is important in this
process and also provides evidence to validate the FE numerical models and the proposed
combined hardening material model.
The Cockroft and Latham criterion (Cockroft and Latham, 1968) is employed to predict
the surface fracture.
After examining the simulation resuIts and comparing them to the resuIts from the
experiments in the literature, the following points are concluded for both the quasi-static
and dynamic processes:
• Reverse plastic de formation occurs in both axial and circumferential directions.
Therefore, it is correct that the Bauschinger effect was accounted for in this work.
124
• The principal stress changes its direction from the axial direction to the
circumferential direction during the entire process (drawing, cutting and
upsetting).
• Increasing the kinematic hardening modulus, H , decreases the corresponding
maximum principal stress regardless of different reductions in area.
• Increasing the pre-drawing reduction in area increases the equivalent plastic strain
of the element with the highest principal stress in the entire process.
• Increasing the approach die angle increases the equivalent plastic strain; the
differences of the equivalent plastic strains between the simulations with different
approach die angles for the fixed reduction in area diminish
• The proposed combined hardening material model is more accurate in predicting
material behavior in this reverse loading process (drawing and cutting followed by
upsetting) than the Johnson-Cook isotropic hardening model.
• The proposed combined hardening material model has the potential to correctly
predict the material behavior in the reverse loading process.
• This work successfully examined the effects of pre-drawing on formability during
cold heading through numerical simulation.
6.2 Future Work
This work is the first step for investigation into effect of pre-drawing on formability
during cold heading through numerical simulations. Further study can be focused on the
applications of combined nonlinear kinematic hardening/nonlinear isotropic hardening
material models. The effect of the friction factor may be of great importance, and
therefore needs to be studied further. In addition, the validity of Cockroft and Latham
criterion in this type of processes needs to be investigated since the maximum principal
stress of the element of interest changes its direction from the axial direction to the
circumferential direction during this process, which is not accounted for in the criterion.
125
REFERENCE LIST
Barrett, R. (1997) Getting a Grip on Fasteners, Metal Bulletin Monthly, pp.38-43.
Behrens, A., H. Just, and D. Landgrebe (2000) Prediction of Cracks in Multistage Cold Forging Operations by Finite-Element-Simulations with Integrated Damage Criteria, Proceedings of the International Conference "Metal Forming 2000", Krakow Poland, pp. 237.
Billigman, J. (1951) Stahl Eisen, vol. 71, pp 252-262.
Billigmann, J. (1953) Stauchen und Pressen, 46 (Carl Hanser Verlag, Munchen).
Bao, Y.B., and T. Wierzbicki (2004) A Comparative Study on Various Ductile Crack Formation Criteria, Journal of Engineering Materials and Technology, vol. 126, pp. 314-324.
Brandal, S., and H. Valberg (1982) Analysis of the Deformation Process during Wiredrawing by Means of the Finite Element Method, Wire Journal International, voLl5, no.3, pp. 64-70.
Brownrigg, A., J. Havranek, and M. Littlejohn (1981) Cold Forgeability of Steel, BHP Technical Bulletin, vol. 25, no. 2, pp. 16-24.
Brozzo, P., B.DeLuca, and R. Rendina (1972) A New Method for the Prediction of Formability Limits in Metal Sheets, Sheet Metal Forming and Formability, ln: Proceedings of the Seventh Biennial Conference of the International Deep Drawing Research Group.
Camacho, A.M., R. Domingo, E. Rubio, and C. Gonzalez (2005) Analysis of the Influence of Back-Pull in Drawing Process by the Finite Element Method, Journal of Materials Processing Technology, vol. 164-165, pp.1167-1174.
Chakrabarty, J. (1987) Theory ofplasticity, New York: McGraw-Hill, pp. 5-124.
Chen, W.F. (1994) Constitutive Equations fOr Engineering Materials. Volume 2: Plasticity and Modeling, Elsevier, Amsterdam-London-New York-Tokyo, pp.733.
Chun, B.K., J.T. Jinn, and J.K. Lee (2002) Modeling the Bauschinger Effect for Sheet Metals, Part 1: Theory, International Journal ofPlasticity, vol. 18, pp. 571-595.
Cockroft, M.G., and DJ. Latham (1968) Ductility and the Workability of Metals, Journal of the Institute of Metals, vol. 96, pp. 33-39.
Dabboussi, W. (2003) High Strain Rate Deformation and Fracture of Engineering Materials, Masters Thesis, Mc Gill University.
126
Davis, J. [Senior Editor] (1988) Cold heading ASM Metals Handbook, Volume 14: Forming and Forging, 9th edition, Metals Park, Ohio, pp. 291-331.
Dieter,G.E. (1984A) Overview of Workability, Workability Testing Techniques, American Society for Metals(ASM), Metals Park, Ohio, pp.I-19.
Engineering Alloys Digest Inc., Upper Montc1air, New Jersey (1997) AISI 1335 Alloy Digest, vol. SA-330, no. 3, pages: 2.
Farren, W. S., and Taylor, G. 1. (1925) The Heat Developed during Plastic Extrusion of Me tais , Proc. Royal Society, Series A , vol. 107, pp. 422-451.
Frudenthal, A.M. (1950) The Inelastic Behavior of Metals, Wiley, New York.
Gill, F.L., and W.M. Baldwin (1964) Proper Wiredrawing Improves Cold Heading, Metals Progress, vol. 85, pp 83-85.
Havranek, J. (1984) The Effect of Pre-Drawing on Strength and Ductility in Cold Forging, Advanced Technology of Plasticity, vol. 2, pp 845-850.
He, S., A. V. Bael, S.Y. Li, P.V.Houtte, F. Mei, and A. Sarban (2003) Residual Stress Determination in Cold Drawn Steel Wire by FEM Simulation and X-Ray Diffraction, Material Science and Engineering, vol. A346, pp 101-107.
HKS Inc. (2004) ABAQUS Analysis User 's Manual , Version 6.4.
HKS Inc. (1998) Writing User Subroutines with ABAQUS.
Hozapfel, G.A. (2000) Nonlinear SoUd Mechanics: A Continuum Approach for Engineering, Wiley, Chichester.
Hu, X.L., J.T.Hai, and W.M.Chen (2004) Experimental Study and Numerical Simulation of the Pressure Distribution on the Die Surface during Upsetting, Journal of Material Processing Technology, voU51, pp.367-371.
Janicek, L., and B. Maros (1996) The Determination ofCold Forgeability for Speciments with Axial Notches of Heat Resisting and Corrosion Resisting Chromium Nickel Steels, Journal of Materials Processing Technology, vol. 60, pp 269-274.
Jenner, A., and B. Dodd (1981) Cold Upsetting and Free Surface Ductility, Journal of Mechanical Working Technology, vol. 5, pp.31-43.
Johnson G.R. and W.H. Cook (1983), A Constitutive Model and Data for Metals Subjected to Large Strain Rates and High Temepratures, Proceedings of the 7th International Symposium on Ballistics, Hague, Netherlands, pp. 541-547.
Kobarashi, S., S.I. OH, and T. Altan (1989) Metal Forming and the Finite-Element Method, Oxford University Press, New York, Oxford, pp.30.
127
Kuhn, Howard and Dana, Medlin (2000) High Strain Rate Testing, ASM Handbook, Volume 8: Mechanical Testing and Evaluation, Materials Park, Ohio, pp.429- 432.
Luntz, J.A. (1969/1970) Proc. Inst. Mech. Engrs., (Discussion), vol. 184, pp 905-906.
Luo,W.B., Y.G. Hu, Z. H. Hu, Y.L. Guo, Y. R. Peng (2000) Thermomechanical analysis of upsetting of cylindrical billet between rough plate dies, vol. 7, no. 1, pp. 64-69.
Maheshwari, M.D., B. Dutta, and T. Mukherjee (1978) Quality Requirements for Cold Heading Grades of Steel, Tool and Alloy Steels, pp.247-251.
Matsunaga, T. and KShiwaku (1980) Manufacturing ofCold Heading Quality Wire Rods and Wires, SEAISI Quarterly Journal, vol. 9, no. 1, pp.45-55.
Mendelson, A. (1983) Plasticity: Theory and Application, Malabar, Florida: Krieger.
Muzak, N., K. Naidu, and C. Osborne (1996) New Methodsfor Assessing Cold Heading Quality, Wire Journal International, vol. 29, no. 10, pp.66-72.
National Machinery.
Nickoletopoulos, N. (2001) Physical and Numerical Modeling of Steel Wire Rod Fracture During Upsetting for Cold Heading Operations, Ph.D. thesis, McGill University
Oh, S.I., C.C.Chen, S. Kobayashi (1976) Ductile Fracture in Axi~ymmetric Extrusion and Drawing, Part TI, Workability in Extrusion and Drawing, J. Eng. Ind., voU01, pp.33.
Okamoto, T., T. Fukuda, and H. Hagita (1973) Material Fracture in Cold Forging Systematic Classification of Working Methods and Types of Cracking in Cold Forging, The Sumitomo Search, no. 9, pp. 216-227.
Osakada, K (1989) Analysis of Cold Forging Operations, Plasticity and Metal-Forming Operations, Elsevier Applied Science, New York, New York, pp. 241-262.
Oyane M., T. Sato, KOkimoto, and S. Shima (1980) Criteria for Ductile Fracture and Their Applications, Journal ofmechanical Working Technology, vol. 4, pp. 65-81.
Petrescu, D., S.c. Savage, and P.D. Hodgson (2002) Simulation of the Fastener Manufacturing Process, Journal of Materials Processing Technology, vo1.l25-126, pp.361-368.
Prager, W. (1955) Theory of Plasticity: Survey of Recent Achievement, Institution of Mechanical Engineers-Proceedings, vo1.169, no.21, pp.41-57.
Rao, A.V., N. Ramakrishnan, and R. K. Kumar (2003) A Comparative Evaluation of the Theoretical Failure Criteria for Workability in Cold Forging, Journal of Materials Processing Technology, Vol. 142, pp. 29-42.
128
Renz, P., W. Steuff, and R. Kopp (1996) Possibilities of Influencing Residual Stresses in Drawn Wires and Bars, Wire Journal International, vol. 29, no. 1, pp. 64-69.
Rogers, H.C. (1962) Fundamentals of Deformation Processing, 9th Sagamore Army Materials conference, Syracuse University Press, 1964, p.199.
Roque M. O. L. and S. T. Button (2000), Application of the Finite Element Method in Cold Forging Processes, Journal of the Brazilian Society of Mechanical Sciences, vol. XXII, no.2, pp. 189-202.
Sarruf, Y. (2000) Criteria and Tests for Cold Headability, Masters Thesis, McGill University
Shemenski, R M. (1999) Wiredrawing by Computer Simulation, Wire Journal International, vol. 32, no.4, pp.l66-183.
Sowerby, R, I. O'Reilly, N. Chandrasekaran, and N.L. Dung (1984) Material Testingfor Cold Forging, Journal of Engineering Materials and Technology, vo1.106, pp.l0l-106.
Tozawa, Y., and M. Kojima (1971) Effect of Pre-Deformation Pro cess on Limit and Resistance in Upsetting Deformation, Journal of Japan Society for Technology of Plasticity, vol. 12, pp 174-182.
Vijayakar, S. (1997) Thermal Influences on Residual Stresses in Drawn Wire - a Finite Element Analysis, Wire Journal International, vol. 30, no. 6, pp. 116-119.
Walters, J., M. Foster, and D. Lambert (2005) Pro cess Simulation of Drawing and Cold Heading Pro cesses, Wire Journal International, vol. 38, no. 3, pp. 199-204.
Wright, RN. (1979) Mechanical Analysis and Die Design, Wire Journal interational, October, pp.60.
Yoo, S.1., D.L. Lee, and D.T. Chung (1997) Prediction of Cold Heading Quality with High Strain Rate Compression Tester, Wire Journal International, vo1.30, no.9, pp. 84-89.
Zhao, D., G. Baker, C. Muojekwu, and H. Pops (1998) Computer Modeling of Wire Manufacturing Pro cesses, Proceedings of the Annual Convention of the Wire Association International/68th/Cleveland, OH, USA, June 1-3, pp. 329-336.
Ziegler, H. (1959) a modification of Prager's hardening rule, Quart. Appl. Math, vol. 17, pp.55-65.
129
APPENDIXA 2-DVUMAT
C USER SUBROUTINE VUMAT SUBROUTINE VUMAT (
C
C
C
C
C
C
READ ONLY -* * * * * *
NBLOCK, NDIR, NSHR, NSTATEV, NFIELDV, NPROPS, LANNEAL, STEPTIME, TOTALTIME, DT, CMNAME, COORDMP, CHARLENGTH, PROPS, DENSITY, STRAININC, RELSPININC, TEMPOLD, STRETCHOLD, DEFGRADOLD, FIELDOLD, STRESSOLD, STATEOLD, ENERINTERNOLD, ENERINELASOLD, TEMPNEW, STRETCHNEW, DEFGRADNEW, FIELDNEW,
WRITE ONLY -* STRESSNEW, STATENEW, ENERINTERNNEW, ENERINELASNEW
INCLUDE 'VABA PARAM.INC'
DIMENSION COORDMP(NBLOCK,*), CHARLENGTH(NBLOCK), PROPS(NPROPS), 1 DENSITY(NBLOCK), STRAININC(NBLOCK,NDIR+NSHR), 2 RELSPININC(NBLOCK,NSHR), TEMPOLD(NBLOCK), 3 STRETCHOLD(NBLOCK,NDIR+NSHR) , 4 DEFGRADOLD(NBLOCK,NDIR+NSHR+NSHR) , 5 FIELDOLD(NBLOCK,NFIELDV), STRESSOLD(NBLOCK,NDIR+NSHR), 6 STATEOLD(NBLOCK,NSTATEV), ENERINTERNOLD(NBLOCK), 7 ENERINELASOLD(NBLOCK), TEMPNEW(NBLOCK), 8 STRETCHNEW(NBLOCK,NDIR+NSHR), 9 DEFGRADNEW(NBLOCK,NDIR+NSHR+NSHR), 1 FIELDNEW(NBLOCK,NFIELDV) , 2 STRESSNEW(NBLOCK,NDIR+NSHR), STATENEW(NBLOCK,NSTATEV), 3 ENERINTERNNEW(NBLOCK), ENERINELASNEW(NBLOCK)
CHARACTER*80 CMNAME DIMENSION INTV(2) PARAMETER (ZERO O.DO, ONE = 1.DO, TWO = 2.DO, THREE = 3.DO,
* FOUR = 4.DO, THIRD = ONE / THREE,PLU=l.DO, * HALF = O.5DO, TWOTHDS = TWO / THREE,DR=O.002DO, * OP5 = 1.5DO,BESECTION=20,TOLER=1.D-6)
C CHECK THAT NDIR=3 AND NSHR=l. IF NOT, EXIT. C
C
INTV(l) = NDIR INTV(2) = NSHR IF (NDIR .NE. 3 .OR. NSHR .NE. 1) TH EN
CALL XPLB_ABQERR(l, 'SUBROUTINE VUMAT IS IMPLEMENTED '// * 'ONLY FOR PLANE STRAIN AND AXISYMMETRIC CASES '// * '(NDIR=3 AND NSHR=l)' ,O,ZERO,' ,)
CALL XPLB_ABQERR(-2,'SUBROUTINE VUMAT HAS BEEN CALLED '// * 'WITH NDIR=%I AND NSHR=%I' ,INTV,ZERO,' ')
CALL XPLB EXIT END IF
E PROPS(l) XNU PROPS(2) A PROPS(3) B PROPS(4) C PROPS(5)
130
C
C
D PROPS(6) F PROPS (7) FRACTION PROPS(8) SHEAT = PROPS(9) TMELT = PROPS(10) TTRANSITION = PROPS(ll) EDOT PROPS(12) H PROPS(13)
TWOMU ALAMDA TERM
E / ( ONE + XNU TWOMU * XNU / ( ONE - TWO * XNU ONE / ( TWOMU + TWOTHDS * H )
C IF STEPTIME EQUALS TO ZERO, ASSUME THE MATERIAL PURE ELASTIC C AND USE INITIAL ELASTIC MODULUS C
IF ( STEPTIME .EQ. ZERO) THEN DO K = 1, NBLOCK
C TRIAL STRESS
C
TRACE = STRAININC(K,l) + STRAININC(K,2) + STRAININC(K,3) STRESSNEW(K,l) = STRESSOLD(K,l)
* + TWOMU * STRAININC(K,l) + ALAMDA * TRACE STRESSNEW(K,2) = STRESSOLD(K,2)
* + TWOMU * STRAININC(K,2) + ALAMDA * TRACE STRESSNEW(K,3) = STRESSOLD(K,3)
* + TWOMU * STRAININC(K,3) + ALAMDA * TRACE STRESSNEW(K,4)=STRESSOLD(K,4) + TWOMU * STRAININC(K,4)
ELASTIC STRAIN STATENEW (K, 6) STATENEW (K, 7) STATENEW (K, 8) STATENEW (K, 9)
END DO ELSE
STATEOLD(K,6) + STRAININC(K,l) STATEOLD(K,7) + STRAININC(K,2) STATEOLD(K,8) + STRAININC(K,3) STATEOLD(K,9) + STRAININC(K,4)
CONST = SQRT(TWOTHDS) DO K = 1, NBLOCK
C TRIAL STRESS
C
TRACE = STRAININC(K,l) + STRAININC(K,2) + STRAININC(K,3) SIG1 STRESSOLD(K,l) + TWOMU*STRAININC(K,l) + ALAMDA*TRACE SIG2 STRESSOLD(K,2) + TWOMU*STRAININC(K,2) + ALAMDA*TRACE SIG3 STRESSOLD(K,3) + TWOMU*STRAININC(K,3) + ALAMDA*TRACE SIG4 STRESSOLD(K,4) + TWOMU*STRAININC(K,4)
TRIAL STRESS MEASURED FROM THE BACK STRESS SI SIG1 - STATEOLD(K,l) S2 SIG2 - STATEOLD(K,2) S3 SIG3 - STATEOLD(K,3) S4 SIG4 - STATEOLD(K,4)
C DEVIATORIC PART OF TRIAL STRESS MEASURED FROM THE BACK STRESS 8MEAN = THIRD * ( 81 + 82 + 83 ) DS1 SI - SMEAN DS2 = S2 - SMEAN DS3 = S3 - SMEAN
C MAGNITUDE OF THE DEVIATORIC TRIAL STRESS DIFFERENCE
C C
DSMAG = SQRT ( DS1*DS1 + DS2*DS2 + DS3*DS3 + TWO*S4*S4
CHECK FOR EQPLASOLD STATEOLD(K,5)
131
C
C
DEQPSOLD = STATEOLD(K,14) DTOLD = STATEOLD(K,15) IF (DTOLD.EQ.ZERO) DTOLD = ONE SSl = DEQPSOLD/DTOLD SS = SSl/EDOT IF(SS.LT.ONE) SS = ONE
TEMOLD = STATEOLD(K,16) TOLD = (TEMOLD-TTRANSITION)/(TMELT-TTRANSITION) IF (TOLD.LT.ZERO) TOLD = ZERO IF (TOLD.GE.ONE) TOLD = ONE
SIGOLD = (A+B*(EQPLASOLD)**C)*(l+D*LOG(SS»*(l-TOLD**F) KSIGOLD = H*EQPLASOLD IF( SIGOLD.LE.KSIGOLD) SIGOLD = KSIGOLD YIELDOLD = SIGOLD-KSIGOLD
RADIUSOLD = CONST * YIELDOLD IF ( DSMAG - RADIUSOLD .GT. ZERO) TH EN
C SOLVE FOR EQUIVALENT PLASTIC STRAIN INCREMENT USING BISECTION ITERATION
C SOLVE FOR FA AA=ZERO DEQPS=AA SIGO = (A+B* (EQPLASOLD)**C) * (l-TOLD**F)
KSIGO = H*EQPLASOLD IF( SIGO.LE.KSIGO) SIGO = KSIGO YIELDO =SIGO-KSIGO
FA = CONST*TERM*(DSMAG-CONST* YIELDO)-DEQPS C SOLVE FOR FB
BB = DR+CONST*SQRT ( (STRAININC(K,l)**2 +STRAININC(K,2)**2 + * STRAININC(K,3) **2 +TWO * STRAININC(K,4)**2 ) )
DEQPS=BB SIG11 SIG1-(TWOMU/CONST)*DEQPS*(DS1/DSMAG) SIG22 SIG2-(TWOMU/CONST)*DEQPS*(DS2/DSMAG) SIG33 SIG3-(TWOMU/CONST)*DEQPS*(DS3/DSMAG) SIG12 SIG4-(TWOMU/CONST)*DEQPS*(S4/DSMAG) MEANSTRESS = THIRD * (SIG11 + SIG22 + SIG33 ) SIl SIG11- MEANSTRESS S22 SIG22- MEANSTRESS S33 SIG33- MEANSTRESS S12 SIG12 SIGMISE = SQRT ( OP5 * (Sll**2 +S22**2 +S33**2 +
* TWO *S12**2 ) ) DTEMP= FRACTION/(SHEAT*DENSITY(K»)*DEQPS*SIGMISE TNEW = (TEMOLD+DTEMP-TTRANSITION)/(TMELT-TTRANSITION) IF (TNEW.LT.ZERO) TNEW = ZERO IF (TNEW.GE.ONE) TNEW = ONE SIGTEMP 1- TNEW**F SIGEQPS = A+B*(EQPLASOLD+DEQPS)**C SSS = DEQPS/DT/EDOT IF(SSS.LT.ONE) SSS = ONE SIGRATE = l+D*LOG(SSS) SIGNEW= SIGEQPS*SIGRATE*SIGTEMP KSIGNEW = H*(EQPLASOLD+DEQPS) IF( SIGNEW.LT.KSIGNEW) SIGNEW = KSIGNEW YIELD = SIGNEW-KSIGNEW FB = CONST*TERM*(DSMAG-CONST* YIELD)-DEQPS
132
C BISECTION ITERATION
*
DO BI=l,BESECTION P=(BB+AA)/2 DEQPS=P SIG11 SIG1-(TWOMU/CONST)*DEQPS*(DS1/DSMAG) SIG22 SIG2-(TWOMU/CONST)*DEQPS*(DS2/DSMAG) SIG33 SIG3-(TWOMU/CONST)*DEQPS*(DS3/DSMAG) SIG12 SIG4-(TWOMU/CONST)*DEQPS*(S4/DSMAG) MEANSTRESS = THIRD * (SIG11 + SIG22 + SIG33 ) SIl SIG11- MEANSTRESS S22 SIG22- MEANSTRESS S33 SIG33- MEANSTRESS S12 SIG12 SIGMISE = SQRT ( OP5 * (Sll**2 +S22**2 +S33**2 +
TWO *S12**2 ) ) DTEMP= FRACTION/(SHEAT*DENSITY(K))*DEQPS*SIGMISE TNEW = (TEMOLD+DTEMP-TTRANSITION)/(TMELT-TTRANSITION) IF (TNEW.LT.ZERO) TNEW = ZERO IF (TNEW.GE.ONE) TNEW = ONE SIGTEMP = 1- TNEW**F SIGEQPS = A+B*(EQPLASOLD+DEQPS)**C SSS = DEQPS/DT/EDOT IF(SSS.LT.ONE) SSS = ONE SIGRATE = l+D*LOG(SSS) SIGNEW= SIGEQPS*SIGRATE*SIGTEMP KSIGNEW = H*(EQPLASOLD+DEQPS) IF( SIGNEW.LT.KSIGNEW) SIGNEW = KSIGNEW YIELD = SIGNEW-KSIGNEW FP = CONST*TERM*(DSMAG-CONST* YIELD)-DEQPS IF ((((BB-AA)/2) .LT.TOLER) .OR. (FP.EQ.ZERO)) GOTO 2 IF ((FA*FP) .GT.ZERO) TH EN
AA=P FA=FP
ELSE BB=P
END IF END DO WRITE(*,l) K
1
* FORMAT(//,30X,'***WARNING - PLASTICITY ALGORITHM DID NOT',
'CONVERGE AFTER ',13,' ITERATIONS') 2 LL=l C CALCULATED INCREMENT IN GAMMA
c
DGAMMA = DEQPS/CONST ELSE
DEQPS = ZERO DGAMMA = ZERO DSMAG = DSMAG + ONE
END IF
C UPDATE EQUIVALENT PLASTIC STRAIN AND EQUIVALENT PLASTIC STRAIN RATE
C STATENEW(K,14) DEQPS STATENEW(K,15) DT STATENEW(K,5) STATEOLD(K,5) + DEQPS
C DIVIDE DGAMMA BY DSMAG SO THAT THE DEVIATORIC STRESSES ARE C EXPLICITLY CONVERTED TO TENSORS OF UNIT MAGNITUDE IN THE FOLLOWING
133
C CALCULATIONS DGAMMA = DGAMMA / DSMAG
C UPDATE BACK STRESS FACTOR = TWOTHDS * H * DGAMMA STATENEW(K,l) STATEOLD(K,l) + FACTOR * DSl STATENEW(K,2) STATEOLD(K,2) + FACTOR * DS2 STATENEW(K,3) STATEOLD(K,3) + FACTOR * DS3 STATENEW(K,4) STATEOLD(K,4) + FACTOR * S4
C UPDATE THE STRESS
C
DGAMMA FACTOR = TWOMU * STRESSNEW (K, 1) STRESSNEW(K,2) STRESSNEW(K,3) STRESSNEW(K,4)
SIG1 - FACTOR * DS1 SIG2 - FACTOR * DS2 SIG3 - FACTOR * DS3 SIG4 - FACTOR * S4
UPDATE THE ELASTIC STATENEW (K, 6) STATENEW(K,7) STATENEW(K,8) STATENEW(K,9)
STRAIN STATEOLD(K,6) STATEOLD(K,7) STATEOLD(K,8) STATEOLD(K,9)
+ STRAININC(K,l)-DGAMMA * + STRAININC(K,2)-DGAMMA * + STRAININC(K,3)-DGAMMA * + STRAININC(K,4)-DGAMMA *
C UPDATE THE PLASTIC STRAIN STATENEW(K,10) STATEOLD(K,10) + DGAMMA * DS1 STATENEW(K,ll) STATEOLD(K,ll) + DGAMMA * DS2 STATENEW(K,12) STATEOLD(K,12) + DGAMMA * DS3 STATENEW(K,13) STATEOLD(K,13) + DGAMMA * S4
C UPDATE THE SPECIFIC INTERNAL ENERGY STRESS POWER = HALF * (
DS1 DS2 DS3 S4
* *
( STRESSOLD(K,l)+STRESSNEW(K,1) ( STRESSOLD(K, 2) +STRESSNEW(K,2) ( STRESSOLD(K,3) +STRESSNEW(K, 3) ( STRESSOLD(K,4)+STRESSNEW(K,4)
* STRAININC(K,l) + * STRAININC(K,2) +
* *
ENERINTERNNEW(K) = ENERINTERNOLD(K)
* + STRESSPOWER / DENSITY(K)
* STRAININC(K,3) ) + * STRAININC(K,4)
C UPDATE THE DISSIPATED INELASTIC SPECIFIC ENERGY SMEAN = THIRD *
* ( STRESSNEW(K,l) + STRESSNEW(K,2) + STRESSNEW(K,3) EQUIVSTRESS = SQRT ( OP5 * (
* ( STRESSNEW(K,l) - SMEAN )**2 + * ( STRESSNEW(K,2) - SMEAN )**2 + * ( STRESSNEW(K,3) - SMEAN )**2 + * TWO * STRESSNEW(K,4)**2 ) )
PLASTICWORKINC = EQUIVSTRESS * DEQPS ENERINELASNEW(K) = ENERINELASOLD(K)
* + PLASTICWORKINC / DENSITY(K) C UPDATE THE TEMPERATURE
DTEMP = (PLASTICWORKINC / DENSITY(K»*(FRACTION/SHEAT) TEMPNEW(K) =TEMPOLD(K) +DTEMP STATENEW(K,16) = STATEOLD(K,16)+DTEMP
END DO END IF RETURN END
134