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    1

    AN INVESTIGATION OF NUGGET FORMATION AND

    SIMULATION IN RESISTANCE SPOT WELDING

    A dissertation submitted in partial fu lf il lment of the requi rements for the award of the degree

    of

    MASTERS OF ENGINEERING (CAD/CAM)

    BY

    SYED SAFIUDDIN SAMAD1604-11-765-017

    DEPARTMENT OF MECHANICAL ENGINEERING

    MUFFAKHAM JAH COLLEGE OF ENGINEERING AND TECHNOLOGY

    (Affiliated to Osmania University)

    HYDERABAD-500034

    2013

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    2

    CONTENT

    CHAPTER 1: INTRODUCTION11.1 RESISTANCE SPOT WELDING (RSW) PROCESS 2

    1.2 PRINCIPLE OF RESISTANCE SPOT WELDING 4

    1.3 TERMINOLOGY 5

    1.4 WELDING MACHINES 6

    1.5 ADVANTAGES OF SPOT WELDING 6

    1.6 OBJECTIVES 7

    1.7 INVESTIGATION APPROACH 7

    CHAPTER 2: LITERATURE REVIEW AND CRITICAL ISSUES 9

    2.1 EFFECT OF ELECTRODE FORCE 14

    CHAPTER 3: SPOT WELDING FACTORS AND BEST PARAMETERS 16

    3.1 MATERIAL USED FOR THE STUDY 16

    3.2 RANGE OF MATERIAL FOR SPOT WELDING 17

    3.3 CHOICE OF THICKNESS 17

    3.4 ELECTRODES FOR SPOT WELDING 18

    3.4.1 ELECTRODES SETTING FOR SPOT WELDING OF SHEETS 183.5 SPOT WELD NUGGET DIAMETER 19

    3.6 EXPULSION 21

    CHAPTER 4: EXPERIMENTAL STUDY 23

    4.1 SAMPLE PREPARATION AND THE TEST PLAN 1 25

    4.2 SAMPLE PREPARATION AND THE TEST PLAN 2 26

    4.3 SPOT WELDING MACHINE 26

    4.3.1

    ELECTRICAL SYSTEM 26

    4.3.2 MECHANICAL SYSTEM 27

    4.3.3 AIR OPERATED MACHINES 27

    4.3.4 CONTROL SYSTEM 28

    4.3.5 COOLING SYSTEM 28

    4.3.6 A.C. RESISTANCE WELDING MACHINE 28

    4.3.7 A.C. SPECIFICATION OF RESISTANCE WELDING MACHINE 29

    4.4 SPOT WELD NUGGET DIMENSION CHECKING 31

    4.5 SPOT WELDED SAMPLE OF TEST PLAN 1 33

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    4.6 SPOT WELDED SAMPLE OF TEST PLAN 2 34

    4.7 PREPARATION OF ETCHED SAMPLES 34

    CHAPTER 5: INTRODUCTION TO SIMULATION OF RSW PROCESS 39

    5.1

    FINITE ELEMENT MODEL 40

    5.1.1 HEAT TRANSFER ANALYSIS 40

    5.1.2 ELECTRICAL FIELD ANALYSIS 41

    5.2 MODELING AND PARAMETERS 42

    5.2.1 MODEL AND MESH 42

    5.2.2 MECHANICAL BOUNDARY CONDITIONS 45

    5.2.2a INTERFACE ELEMENTS 45

    5.3 WELDING PARAMETERS AND MATERIAL PROPERTIES 46

    5.4 SIMULATION OF 2 LAP SHEETS OF 1 MM THICKENESS 50

    5.5 SIMULATION OF 2 LAP SHEETS OF 1.5 MM THICKENESS 61

    5.6 SIMULATION OF 3 LAP SHEETS OF 1 MM THICKENESS 74

    5.7 SIMULATION OF 3 LAP SHEETS OF 1.5 MM THICKENESS 84

    5.8 MEASURED VALUES OF THE NUGGET 94

    CHAPTER 6: RESULTS AND DICUSSIONS

    6 RESULTS AND DICUSSIONS 97

    CHAPTER 7: CONCLUSIONS AND FUTURE SCOPE OF WORK

    7.1 CONCLUSIONS 98

    7.2 FUTURE SCOPE OF WORK 99

    REFERENCES

    100

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    LIST OF TABLES

    Table 3.1 : Chemical compositions (IS 513: 2008) 16

    Table 3.2 : Mechanical Properties at Room Temperatures in as Delivered condition 17

    Table 3.3 : Suggested electrode tip diameter corresponding to the plate thickness

    for RSW 18

    Table 4.1 : Experimental data for 2 sheets spot welding process with 1.0 mm thickness 24

    Table 4.2 : Experimental data for 2 sheets spot welding process with 1.5 mm thickness 24

    Table 4.3 : Experimental data for 3 sheets spot welding process with 1.0 mm thickness 24

    Table 4.4 : Experimental data for 3 sheets spot welding process with 1.5 mm thickness 25

    Table 4.5 : Experimentally obtained values of nugget Height and Diameter for 2 lap

    sheets spot weld of 1mm thickness under varying welding conditions 36

    Table 4.6 : Experimentally obtained values of nugget Height and Diameter for 2 lap

    sheets spot weld of 1.5 mm thickness under varying welding conditions 36

    Table 4.7 : Experimentally obtained values of upper nugget Height and Diameter

    for 3 Lap sheets spot weld of 1mm thickness under varying welding

    conditions 37

    Table 4.8 : Experimentally obtained values of lower nugget Height and Diameter

    for 3 Lap sheets spot weld of 1mm thickness under varying welding

    conditions 37

    Table 4.9 : Experimentally obtained values of upper nugget Height and Diameter

    for 3 Lap sheets spot weld of 1.5 mm thickness under varying welding

    conditions 38

    Table 4.10: Experimentally obtained values of lower nugget Height and

    Diameter for 3 Lap sheets spot weld of 1.5 mm thickness under

    varying welding conditions 38

    Table 5.1 : Model Dimensions 42

    Table 5.2 : Element types and degree of freedom options 44

    Table 5.3 : Thermal and electrical properties of materials 47

    Table 5.4 : Mechanical properties of materials 48

    Table 5.5 : Employed spot welding conditions for 2 Lap sheets simulation of 1 mm

    thickness 50

    Table 5.6 : Employed spot welding conditions for 2 Lap sheets simulation of 1.5 mm

    thickness 61

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    Table 5.7 : Employed spot welding conditions for 3 Lap sheets simulation of 1.0 mm

    thickness 74

    Table 5.8 : Employed spot welding conditions for 3 Lap sheets simulation of 1.5 mm

    thickness 84

    Table 5.9 : Measured values of nugget diameter and height from the 1 mm thickness

    of 2 lap sheets simulation 94

    Table 5.10 : Measured values of nugget diameter and height from the 1.5 mm thickness

    of 2 lap sheets simulation 94

    Table 5.11 : Measured values of upper nugget diameter and height from the 1 mm

    thickness of 3 lap sheets simulation 95

    Table 5.12 : Measured values of lower nugget diameter and height from the 1 mm

    thickness of 3 lap sheets simulation 95

    Table 5.13 : Measured values of upper nugget diameter and height from the 1.5 mm

    thickness of 3 lap sheets simulation 96

    Table 5.14 : Measured values of lower nugget diameter and height from the 1.5 mm

    thickness of 3 lap sheets simulation 96

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    LIST OF FIGURES

    Figure 1-1 : Principle of resistance spot welding 4

    Figure 1-2 : Schematic of a typical spot weld sequence 5

    Figure 2-1 : Schematic illustration of computational procedure used in FEA

    Technique 12

    Figure 2-2 : Electricalthermalmechanical contact model 13

    Figure 3-1 : Electrode geometry to the thickness of the plate 19

    Figure 3-2 : A & B shows the types of expulsion 21

    Figure 4-1 : Two sheets spot weld coupons (specimens) 25

    Figure 4-2 : Three sheets spot weld coupons (specimens)

    26

    Figure 4-3 : Overview of mechanical system of spot and projection welding

    Machine

    27

    Figure 4-4 : Various parts of RSW machine

    30

    Figure 4-5 : Resistance spot welding machine 30

    Figure 4-6 : The spot welding machine selected for the experiments 31

    Figure 4-7 : Schematic view of nugget size diameter 31

    Figure 4-7a: Different material zones around the spot weld 32

    Figure 4-7b: Etched specimen of 1mm thickness

    33

    Figure 4-8 : Two sheets spot weld coupons (specimens) after welding 33

    Figure 4-9 : Three sheets spot weld coupons (specimens) after welding 34

    Figure 4-10: Nugget size for different direction (Above: Vertical,

    Below: Horizontal) 35

    Figure 5-1 : The FEA model of RSW process 43

    Figure 5-1a: Boundary conditions for simulation 43

    Figure 5-2 : FEM model for spot welding process with contact elements 44

    Figure 5-3 : Contact elements 46

    Figure 5-4 : 2D Axisymmetric Quarter model geometry of 2 and 3 lap sheets 48

    Figure 5-5 : 2D Axisymmetric Quarter meshed model geometry of 2 lap sheets 49

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    Figure 5-6 : 2D Axisymmetric Half model geometry of 2 lap sheets 49

    Figure 5-7 : The predicted temperature distribution from the simulation for the

    Sample 1 50

    Figure 5-8 : The predicted nugget geometry from the simulation for the sample 1 51

    Figure 5-9 : The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 1 51

    Figure 5-10: The predicted temperature distribution from the simulation for the

    Sample 2 52

    Figure 5-11: The predicted nugget geometry from the simulation for the

    sample 2 52

    Figure 5-12: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 2 53

    Figure 5-13: The predicted temperature distribution from the simulation for the

    sample 3 53

    Figure 5-14: The predicted nugget geometry from the simulation for the

    sample 3 54Figure 5-15: The predicted temperature ( ) distribution graph with respect to

    time in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 3 54

    Figure 5-16: The predicted temperature distribution from the simulation for the

    sample 4 55

    Figure 5-17: The predicted nugget geometry from the simulation for the

    sample 4 55

    Figure 5-18: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 4 56

    Figure 5-19: The predicted temperature distribution from the simulation for the

    sample 5 57

    Figure 5-20: The predicted nugget geometry from the simulation for the

    sample 5 57

    Figure 5-21: The predicted temperature ( ) distribution graph with respect to

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    time in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 5 58

    Figure 5-22: The predicted temperature distribution from the simulation for the

    sample 6 59

    Figure 5-23: The predicted nugget geometry from the simulation for the

    sample 6 59

    Figure 5-24: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 6 60

    Figure 5-25: The predicted temperature distribution from the simulation for the

    sample 7 61

    Figure 5-26: The predicted nugget geometry from the simulation for the

    sample 7 62

    Figure 5-27: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 7 62

    Figure 5-28: The predicted temperature distribution from the simulation for the

    sample 8 63

    Figure 5-29: The predicted nugget geometry from the simulation for thesample 8 63

    Figure 5-30: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 8 64

    Figure 5-31: The predicted temperature distribution from the simulation for the

    sample 9 64

    Figure 5-32: The predicted nugget geometry from the simulation for the

    sample 9 65

    Figure 5-33: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 9 65

    Figure 5-34: The predicted temperature distribution from the simulation for the

    sample 10

    66

    Figure 5-35: The predicted nugget geometry from the simulation for the

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    sample 10 66

    Figure 5-36: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 10 67

    Figure 5-37: The predicted temperature distribution from the simulation for the

    sample 11

    68

    Figure 5-38: The predicted nugget geometry from the simulation for the

    sample 11 68

    Figure 5-39: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 11 69

    Figure 5-40: The predicted temperature distribution from the simulation for the

    sample 12 70

    Figure 5-41: The predicted nugget geometry from the simulation for the

    sample 12 70

    Figure 5-42: The predicted temperature ( ) distribution graph with respect totime in seconds (1cycle = 0.02 seconds) from the simulation for the

    sample 12 71Figure 5-43: 2D Axisymmetric Quarter meshed model geometry of 3 lap sheets

    with loading

    71

    Figure 5-44: 2D Axisymmetric Quarter meshed model geometry of 3 lap sheets 72

    Figure 5-45: 2D Axisymmetric Half model geometry of 3 lap sheets 72

    Figure 5-46: A practical model of resistance spot welding for three pieces of sheets 73

    Figure 5-47: The predicted temperature distribution from the simulation for the

    sample 13 74

    Figure 5-48: The predicted upper & lower nugget geometry from the simulation

    for the sample 13 75

    Figure 5-49: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 13

    75

    Figure 5-50: The predicted temperature distribution from the simulation for the

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    sample 14 76

    Figure 5-51: The predicted upper & lower nugget geometry from the simulation for the

    sample 14 76

    Figure 5-52: The predicted temperature (

    ) distribution in upper & lower weld

    graph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 14

    77

    Figure 5-53: The predicted temperature distribution from the simulation for the

    sample 15 77

    Figure 5-54: The predicted upper & lower nugget geometry from the simulation for the

    sample 15 78

    Figure 5-55: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 15 78

    Figure 5-56: The predicted temperature distribution from the simulation for the

    sample 16 79

    Figure 5-57: The predicted upper & lower nugget geometry from the simulation for the

    sample 16 79

    Figure 5-58: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from thesimulation for the sample 16 80

    Figure 5-59: The predicted temperature distribution from the simulation for the

    sample 17 80

    Figure 5-60: The predicted upper & lower nugget geometry from the simulation for the

    sample 17 81

    Figure 5-61: The predicted temperature (

    ) distribution in upper & lower weld

    graph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 17 81

    Figure 5-62: The predicted temperature distribution from the simulation for the

    sample 18 82

    Figure 5-63: The predicted upper & lower nugget geometry from the simulation

    for the sample 18 82

    Figure 5-64: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

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    simulation for the sample 18 83

    Figure 5-65: The predicted temperature distribution from the simulation for the

    sample 19 84

    Figure 5-66: The predicted upper & lower nugget geometry from the simulation

    for the sample 19 85

    Figure 5-67: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 19 85

    Figure 5-68: The predicted temperature distribution from the simulation for the

    sample 20 86

    Figure 5-69: The predicted upper & lower nugget geometry from the simulation

    for the sample 20 86

    Figure 5-70: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 20 87

    Figure 5-71: The predicted temperature distribution from the simulation for the

    sample 21 87

    Figure 5-72: The predicted upper & lower nugget geometry from the simulation

    for the sample 21 88Figure 5-73: The predicted temperature ( ) distribution in upper & lower weld

    graph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 21 88

    Figure 5-74: The predicted temperature distribution from the simulation for the

    sample 22 89

    Figure 5-75: The predicted upper & lower nugget geometry from the simulation

    for the sample 22 89

    Figure 5-76: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 22 90

    Figure 5-77: The predicted temperature distribution from the simulation for the

    sample 23 90

    Figure 5-78: The predicted upper & lower nugget geometry from the simulation

    for the sample 23 91

    Figure 5-79: The predicted temperature ( ) distribution in upper & lower weld

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    graph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 23 91

    Figure 5-80: The predicted temperature distribution from the simulation for the

    sample 24 92

    Figure 5-81: The predicted upper & lower nugget geometry from the simulation

    for the sample 24 92

    Figure 5-82: The predicted temperature ( ) distribution in upper & lower weldgraph with respect to time in seconds (1cycle = 0.02 seconds) from the

    simulation for the sample 24 93

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    CHAPTER 1

    1.

    INTRODUCTION

    Resistance spot welding (RSW) is widely utilized as a joining technique for

    automobile structure due to flexibility, robustness and high-speed of process

    combining with very high quality joints at very low cost. Resistance spot welding

    (RSW) process is also used in sheet metal joining process, due to its high speed,

    suitability for automation and inclusion in high-production assembly lines with other

    fabricating operations. It is a complex process in which coupled interactions exist

    between electrical, thermal, mechanical, metallurgical phenomena, and even surface

    behaviors. In order to well understand the mechanism of such a complex process,

    numerous researches have been performed on all kinds of welding conditions and

    materials, using both theoretical and experimental methods. In recent years, numerical

    method provides a powerful tool in studying these interactions and much related work

    has been done on the numerical modeling of RSW In particular, the FEA which can

    dea1 with nonlinear behaviors and complex boundary conditions has become the most

    important method for the analysis of RSW process.

    The aim of this project work is to develop a numerical model of the resistance spot

    welding process enabling to predict accurately the weld geometry development,

    thermal history distribution, deformations and residual stresses in the work piece.

    Studies have been focused on the electrical/thermal/mechanical modeling. The

    simulation takes into account the temperature dependency of the electrical, thermal,

    and mechanical material databases. The established welding parameters and boundary

    conditions corresponding to the practice, (e.g. welding current, welding force, and

    welding time), are employed in the model. However, modeling of such coupled

    process combined electrical, thermal, mechanical phenomena is a highly nonlinear

    problem and requires the precise material properties ranging from room temperature

    to fusion state.

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    Furthermore, understanding of the electrical and thermal contact characteristics under

    various loads and elevated temperatures is obviously important for a predictive RSW

    model. The contact properties can be differed markedly regarding different sheet

    surface coatings. In addition, it is widely agreed for the influence of contact resistance

    as well as that of contact size variation on the nugget development in the literature.

    Benefits of its process advantages including joining performance, flexibility,

    robustness and hi-speed of process with very high quality joints at very low cost,

    RSW has found to be a major joining technique utilized for automotive assembly

    fabrication. However, due to a very short operation time being commonly less

    thanone second, it is not therefore an easy task to assess or disclose entirely the

    internal process characteristics by practical means when the variability of welding

    parameters or that of sheet configurations is encountered. Numerical modeling can be

    thereforeconsidered as another approach to obtain a better understanding in process

    characteristics and consequently helps improving the joining quality as well as

    process performance.

    1.1 RESISTANCE SPOT WELDING (RSW) PROCESS

    Resistance welding was invented a century ago, and has evolved into a simple,

    straightforward manufacturing process that is fast, easily automated and easily

    maintained. These characteristics make resistance welding a preferred process in mass

    production manufacturing situations. Resistance spot welding is one of the most

    common methods of the resistance welding processes. It is used widely in the

    automotive, appliance, furniture and aircraft industries to join sheet materials. In

    automotive applications, resistance spot welding is used to manufacture small

    reinforcing bracket as well as complete outer panels. It is conservatively estimated

    that several thousands of resistance spot welds are used in an average size vehicle.

    Because of the extensive usage, even a small process improvement would bring

    significant economic benefits. This large potential payoff has attracted a significant

    amount of research in general resistance spot welding and in specific sub-field of

    resistance spot welding control.

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    The basic sequence of resistance spot welding is as follows. Water-cooled copper

    electrodes are used to clamp the sheets to be welded into place. Then, the force

    applied to the electrodes ensures intimate contact between all the parts in the weld

    configuration. An electric current is passed across the electrodes through the work

    pieces. Because of the imperfect contact condition, there is an extremely high contact

    resistance at the faying surface of the work pieces. This resistance generates a

    substantial amount of joule heat on the contact interface which melts the metal to

    make a weld.

    Several authors have reported the electrical parameters vary continuously during the

    welding of mild steel sheet. At the end of the first cycle, there is an increase in voltage

    across the copper electrodes and a reduction in current flowing through the weld zone

    until a peak stage is reached. Throughout the remaining portion of the weld cycle, the

    voltage decreases to a constant value as the current increases also to a constant value.

    These changes in voltage and current have also been represented as dynamic

    resistance.

    The contact resistance, which is the electrical resistance at the joint faying surface, is

    relatively high compared to the bulk material resistance of the joint material causing

    fast heating at this contact interface. The combination of heat extraction by the chilled

    electrodes and rapid contact surface heating causes the maximum temperature to

    occur roughly around the faying surface. As the material near the faying surface heats

    up, the bulk resistance rises rapidly, and the contact resistance falls. Again, the peak

    resistance is at the faying surface, resulting in the highest temperatures. Eventually

    melting occurs at the faying surface, and a molten nugget develops. On termination of

    the welding current, the weld cools rapidly under the influence of the chilled

    electrodes and causes the nugget to solidify, joining the two sheets. In general, the

    control parameters of the resistance spot welding process are the electrode force,

    electric current, weld time, and surface conditions.

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    1.2 PRINCIPLE OF RESISTANCE SPOT WELDING

    In Resistance Spot Welding, passage of a relatively high welding current I [kA]

    throughout a locally compressed work piece area (by means of an electrode force F

    [kN]) during a properly defined period of time t [cycle, ms] heats this area due to

    resistive heating following Joules law (Figure 1-1),

    () () ()

    Q = the heat generated [J];

    R = the ohmic resistance [ohm];

    i = the welding current [A];

    t = time [s];

    T= total weld time [s];

    Figure 1-1: Principle of resistance spot welding

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    Figure 1-2: Schematic of a typical spot weld sequence

    1.3 TERMINOLOGY

    The automotive industry has established some common terminology that can be used

    when describing the spot welding process. This includes references to the welding

    apparatus, welding parameters, and welding specimens. To start, the apparatus used

    for spot welding is often called a welding gun. It can be modified by the type of

    actuator used. In this investigation pneumatic actuator is used which can be controlled

    by air pressure and will be referred to as an air gun. The actuator controls the position

    of, and force applied by the electrode tips. These are the parts of the welding

    apparatus that actually make contact with the material to be welded. They are

    typically made of copper, because of its high electrical and thermal conductivity.

    When the electrodes contact the specimen there is slight deformation of the electrode

    tip. This results in a larger contact areabetween the tips and specimens than would be

    found by simply measuring theelectrode face diameter. This contact is referred to as

    the electrode diameter and is typically assumed to be circular. The force with which

    the electrodes are pressed together is called the electrode force. This force cause anarea on the contact surfaces of the specimens to be pressed very close together. This

    area is defined as the contact diameter. The entire surface between two specimens,

    where the weld will form, is called the faying surface.

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    The metal first begins to melt at this surface within the contact diameter. The metal

    that melts, and subsequently solidifies to bond the specimens, is known as the weld

    nugget. The nugget has two critical dimensions. The first is the nugget diameter

    which is represented by the width of the nugget at the faying surface. The second is

    the penetration depth which is the overall height of the nugget at its center. The area

    around the nugget that has had its microstructure changed due to the heat of welding

    is known as the heat affected zone (HAZ). A current must be passed through the

    electrodes to cause the heating and melting of the specimens necessary for nugget

    formation. This current is specified by the operator and is called the welding current,

    the duration that the current is applied to specimen is called the weld time.

    1.4 WELDING MACHINES

    There are various types of welding machines used in industry today. Their size and

    shape depends on their intended application. Many machines in the automotive

    industry are mounted on robotic manipulator arms to move about the body of a

    vehicle during assembly. Welding machines can be built for use with either DC or AC

    currents. The automotive industry predominantly uses AC machines. For this

    investigation AC resistance spot welding was used. Detailed description of the

    machine and its operation can be found in another chapter 4.

    1.5 ADVANTAGES OF SPOT WELDING

    Spot welding provides many benefits over other existing welding techniques. One of

    its greatest benefits is that it does not require additional material to form a weld. The

    nugget formed is a combination of the material from the specimens to be welded. In

    most other welding processes, such as arc-welding and metal-inert gas(MIG) welding,

    a wire or rod of material must be fed into the weld area to have enough material to

    form a weld. Additionally, attaching sheets of metal together is faster with spot

    welding because only certain areas to be welded to establish the necessary bond

    strength.

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    1.6 OBJECTIVES

    The goal of this investigation was to develop a credible numerical modeling scheme

    and analysis procedure, verified by the experimental data, to investigate the electrical,

    thermal, and mechanical phenomena in resistance spot welding of low carbon steel.

    Create finite element models for studying nugget geometry in a spot welded metal

    sheet joints using the commercial ANSYS finite element code. Use the finite element

    model to simulate the nugget size in a spot welded joint for currently used material

    low carbon steel in the automotive industry. The results of this study will be used to

    identify critical parameters to be used in future quality monitoring and control

    routines for resistance spot weldingtimeThe other objective of this work is to

    develop a multi-coupled method to analyse the thermal and mechanical behaviours of

    RSW process, reduce the computing time with the minimum loss of accuracy and get

    more adequate information of the process, Improve the quality monitoring and

    process control of RSW

    1.7 INVESTIGATION APPROACH

    To achieve this objective, it was first necessary to obtain welding data that would

    characterize the various welding conditions that might be encountered in an industrial

    setting. This data consisted of both the physical weld specimens produced and the

    current, voltage, and force data taken during the welding process. The data was first

    examined in an attempt to find any characteristics that could be used as an indicator of

    an impending splash. Since the data alone did not produce any such indicator, it was

    used as input to a finite element program.

    The results of this program were compared to the actual experimental results of the

    welds to verify the programs accuracy. After the program was proven to be accurate,

    the results were examined for feasibility of use in a control routine. It was expected

    that if the results of a finite element simulation proved accurate, the time required to

    produce these results would not be acceptable for a real-time control mechanism.

    Therefore, it was intended that the results of the simulation be used as further

    verification of future control routines that would be developed. The final focus of this

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    investigation involves the verification of one of these welding models. The model

    uses the heat balance equation of a welded part to predict the mean temperature of the

    weld. It is believed that there is a characteristic mean temperature during welding,

    beyond which splash will occur. The verification of this model is the final step of this

    investigation.

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    CHAPTER 2

    2. LITERATURE REVIEW AND CRITICAL ISSUES

    Finite Element Method (FEM) has been routinely applied in automobile industries for

    the analysis of structural strength and component design because of the spread of

    computers with high performance, low price and development of FEM software. It is

    also playing a significant role in predicting the behavior of the weld cracking, weld

    distortion and residual stress in a welding area as described by Ueda et al. (2007).

    To assemble various components of automobile bodies, the resistance spot welding

    process (briefly named as spot welding process in this paper) for both basic two

    pieces of sheets and complicated multi-pieces of sheets is widely used because of its

    low cost and high productivity. In order to determine spot welding conditions before

    production, many experiments have to be performed. However, the experimental

    approach to clarify the detail behaviors of the spot welding process is difficult

    because the spot welding time is very short. The simulation approach has

    advantagesto investigate and to visualize the detail phenomena induced in the nugget

    formation process.

    The basic numerical simulation for the spot welding process was started from the

    1960s. Archer (1960) calculated temperature change with alternative current in spot

    welding using a simple one-dimensional model. Greenwood (1961) calculated

    temperature change in the spot welding using an axisymmetric model. Rice and Funk

    (1967) considered the change of resistance with temperature in the spot welding using

    a one dimensional model. Yamamoto and Okuda (1971) imported the measured

    contact diameter in the spot welding to the simulation model and temperature

    distributions are computed using an axisymmetric model.

    The early simulations done in 1960s and 1970s were mainly limited to the

    approximate prediction of the thermal history in the spot welding process using the

    one dimensional models or the axisymmetric models based on the finite difference

    method (FDM) and the nugget growth was not predicted.

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    In the 1980s, the electrical contact resistance was considered in the simulation

    models. Nied (1984) proposed a contact model between worksheets and analyzed the

    thermal deformation of stainless sheets in the spot welding using FEM. This contact

    model was based on a simple elastic deformation theory and was not accurate enough.

    Nishiguchi and Matsuyama (1987) proposed an elasticplastic contact model and

    investigated the conditions when the expulsion occurred in spot welding process. Han

    et al. (1989) considered the change of electrical resistance with contact pressure in the

    heat transfer analysis using an axisymmetric FDM model. Cho and Cho (1989)

    developed an axisymmetric FDM model with the consideration of the change of

    electrical resistance with hardness of steel. These models neglected the changing of

    the contact diameter in the spot welding process.

    From the early 1990s, the coupling of the electric filed, the thermal field and the

    mechanical field for the spot welding of the two pieces of sheets were gradually

    considered in the simulation models. Tsai et al. (1992) developed an user subroutines

    for commercial software ANSYS to simulate the spot welding process and predicted

    the displacement and voltage between two electrodes. Vogler and Sheppard (1993)

    considered the electrical resistance with both temperature and contact pressure in the

    FEM model, and predicted the weld lobe for two pieces of mild steel sheets. Huh and

    Kang (1997) analyzed thermal field and electrical field using a three-dimensional

    FEM model. Matsuyama (1997) considered the effect of surface unevenness on

    contact resistance in the axisymmetric FDM model. Murakawa et al. (1995) analyzed

    the effects of the spot welding conditions on nugget growth for two pieces of

    aluminum sheets.

    Murakawa and Zhang (1998) simulated the expulsion in the welding process and

    discussed the influence of initial gap between two pieces of steel worksheets. A

    research group of Li et al. (1997), Sun et al. (1997) and Dong et al. (1998) analyzed

    the weldability of steel sheets with surface coating, aluminum sheets and predicted the

    electrode displacement and face extrusion in the spot welding process. Xu and Khan

    (1999) considered the change of contact resistance with pressure in the spot welding

    for a steel sheet and an aluminum alloy sheet in the FEM model. The researches in the

    1990s covered the contact models, the nugget growth and occurrence of expulsion in

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    the spot welding for two-piece sheets of mild steels, aluminum alloys and stainless

    steels.

    From the 2000s, the simulation for the nugget growth and the expulsion in the spot

    welding process became possible using commercial FEM codes. Khan et al. (2000)

    developed an electro-thermal FEM solver and an interface program linking thermal

    mechanical solver of ABAQUS. The nugget growth during the spot welding of

    aluminum alloys was predicted considering phase change and convection in the weld

    pool using an axisymmetric model. The simulated results showed that the effect of

    phase change and convection in the welding pool on nugget development is not

    significant. Disadvantage of this type of approach is that the computed results have to

    be transferred between two solvers at each iteration step. Zhang (2003) developed a

    FEM software SORPAS for the spot welding process simulation and a graphical

    user interface for easier industrial applications. Feulvarch et al. (2006) presented a

    model considering the electrical and thermal contact resistances using SYSWELD

    which is a software dedicated to the simulation of welding and heat treatment.

    Furthermore, the electrical and thermal contact resistances were measured by a

    developed experimental device. Loulou et al. (2006) proposed an inverse methodusing

    the measured temperature histories at some points in order to determine the detail

    electrical and thermal contact parameters for the simulation of the spot welding

    process.

    Hou et al. (2007) used ANSYS and simulated the stresses in two worksheets and the

    electrode displacement in the spot welding process. Eisazadeh etal. (2010)

    investigated the nugget formation in spot welding for the two pieces of worksheets

    and the effects of welding parameters on temperature of contact surface were studied

    using ANSYS.

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    Figure 2-1: Schematic illustration of computational procedure used in FEA

    technique

    Although above commercial FEM codes are convenient for industrial users, the

    academic researchers may have some problems if a new contact interface and a new

    material model for spot welding simulation need to be developed. For these reasons,

    there are still many researchers using in-house FEM programs in their research works.

    Murakawa et al. (2000) developed an in-house FEM software JWRIAN and

    predicted the electrode displacement and clarified its correlation with the nugget

    formation. Matsuyama (2001) imported both the measured current and the voltage to

    the simulation model which was named as the Hybrid-Simulation. The Hybrid-

    Simulation model could predict the nugget diameter with a short time. However, it

    was not a full simulation model and phenomena could not be predicted without

    experimental measurement.

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    Figure 2-2: Electricalthermalmechanical contact model

    De et al. (2003) developed an in-house software and estimated contact diameter,

    nugget diameter and thickness for different welding conditions in the spot welding of

    aluminum alloy.

    However, the contact pressure in this model was assumed to be equal to the

    temperature dependent flow stress and discontinuous contact points in the radial

    direction were not allowed. Dilthey and Ohse (2007) developed a software package

    SpotSIM with various database for the prediction of nugget dimensions and the

    electrode indentation in spot welding. Nodehet al. (2008) predicted the residual

    stresses due to spot welding by simulation which is important for the analysis of

    structure strength.

    Feulvarch et al. (2004) presented a general finite element formulation of electrical

    thermal contact between two surfaces. This contact algorithm could be available to

    the arbitrary mesh for 2D and 3D applications. Feulvarch et al. (2004) also gave a

    simulation example of the spot welding process for the three pieces of sheets using

    this contact algorithm and considering the fraction of the power density dissipated at

    the two contact surfaces. However, the details of the nugget formation process for the

    three pieces of sheets at the different welding conditions were not the main interests in

    this article. The published simulation results mainly focused to the phenomena of the

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    spot welding process for the basic two pieces of worksheets. There are many spot

    welds for multi-pieces of worksheets in the industrial applications such as automobile

    body assemble shown in Hondas (2008) web site. The spot welding for multi-pieces

    of sheets is more difficult than two pieces of worksheets and it needs to be studied in

    details. In this study, the nugget formation processes under various spot welding

    conditions for the two and three pieces of low carbon steel sheets used in the real

    automobile bodies were focused. The real shape, real size of electrodes and real

    welding conditions were used in FEM model. A thermal-elasticplastic material

    model for both worksheets and electrodes were employed in simulation shown in

    fig.2. The simple and reliable contact elements between the multi-piece worksheets

    and between a worksheet and an electrode with independent material properties were

    used. The nugget formation process was investigated firstly by experiments.

    Then, the simulations for electric current flow, heat generation and nugget formation

    in the spot welding process were carried out the schematic illustration of

    computational procedure used in FEA technique is shown Fig.1 By comparing the

    simulation results with the experimental ones, the simulation accuracy was verified.

    Lastly, the weld lobe for three pieces of low carbon steel sheets was estimated based

    on simulation results.

    2.1 EFFECT OF ELECTRODE FORCE

    The electrode force in resistance spot welding functions to ensure electricalcontact

    and to retain weld nuggets from expulsion. In the process, the forcereaches a preset

    value during the squeeze stage, theoretically remains constantduring weld cycles,

    holds for a short period after the current terminates, and isthen released. In reality,

    however, the force varies during weld cycles primarilydue to thermal expansion of the

    weld joint. It is also affected by the mechanicalcharacteristics of the welding machine,

    the process parameters and the thermaland mechanical characteristics of the work

    piece material. However, the electrode force is to be assumed constant during and

    after the spot welding process.This research project consisted of both experimental

    investigations and numerical simulation studies undertaken in order to develop a

    comprehensive simulation of a weld nugget during the resistance spot welding

    process. Welding tests were conducted to establish the required welding parameters

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    for the numerical simulations, and verify the accuracy of the simulation results in

    terms of the development of weld geometry and the deformations and stresses in the

    work piece. The dominant parameters of this process for spot welding a sheet

    configuration are welding current, force, time, and electrode.

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    CHAPTER 3

    3. SPOT WELDING FACTORS AND BEST PARAMETERS

    3.1 MATERIAL USED FOR THE STUDY

    If the material whether sheet or rolled sections, is clean, little difficulty shouldbe

    experienced. Low-carbon steel can be satisfactorily resistance weldedusing a wide

    range of time, current, and electrode force parameters. Themetal referred to as mild

    steel is that in which the carbon content does notexceed 0.15%. Carbon content has

    the greatest effect on weldability ofsteels; weld hardness increases rapidly with asmall rise in carbon content.To obtain acceptable weld performance, carbon content

    should be keptbelow 0.10% + 0.3t, where t is the sheet thickness in inches. For

    materialsabove this range, postweld tempering may be necessary.

    The material used for this study was a cold rolled formable IS 513: 2008: CR3 Low

    Carbon steel. The sheet metal was provided with skin passed deep drawing properties

    and a general purpose surface finish. Typically this sheet metal contained up to 0.10%

    of carbon. Other than carbon there are also some other particles present in the

    chemical composition of the steel used for manufacturing this sheet metal. The details

    of the chemical composition are provided in the in the table given below.Furthermore

    according to the manufacturer data sheet this general purpose sheet metal is typically

    used for unexposed drawn parts for automotive and appliance end applications. Hence

    this sheet metal was chosen to conduct the present study.

    Table 3.1: Chemical compositions (IS 513: 2008)

    S.No. Designation

    Maximum Percentage of alloying elements

    Carbon Manganese Sulphur Phosphorus

    1. CR3 0.10 0.45 0.03 0.025

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    Table 3.2: Mechanical Properties at Room Temperatures in as Delivered

    condition

    S.No DesignationYield

    Stress

    Re(MPa)

    Tensile

    Strength

    Rm(MPa)

    Elongation

    PercentHardness

    LO=80mm LO=50mm HRB HR(30T)

    1. CR3 220 Max. 350Max. 34 35 57 55

    3.2 RANGE OF MATERIAL FOR SPOT WELDING

    Spot welding facilitates if;

    There is sufficient contact resistance sheet-to-sheet for heat to be generated bythe heavy current flow.

    The heat is not conducted away too rapidly from the point at whichwelding is

    desired.

    Therefore, those good conductors of heat and electricity such as copper, aluminium or

    silver present greater difficulties than do iron and steel, which are moderate

    conductors in comparison.

    3.3 CHOICE OF THICKNESS

    The thickness of the sheet metal for making the coupons acts as an independent

    variable in case of the determination of the coupon dimensions. The spot weld nugget

    diameter depends on the thickness gauge of the sheet metal, which is presented in the

    next paragraph. The thickness of the sheet metal chosen for this study was 1.5 mm

    (averaged experimental value 1.49mm). The reason behind choosing this particular

    thickness gauge was because most of the spot weld nugget diameter - to - thickness

    expressions were derived and tested either for this particular thickness value, or this

    value was near the median value for the range of thickness dimension used.

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    3.4 ELECTRODES FOR SPOT WELDING

    Resistance spot welding electrodes should be made of the materials

    havinghighthermal andelectrical conductivities and sufficiently low contactresistance

    to prevent burning of the workpiece surface or alloying at theelectrode face.

    In addition, the electrode should have adequate strength toresist deformation at

    operating pressures and temperatures. Electrodematerials for resistance spot welding

    have been classified by RWMA and inInternational Standards Organization (ISO)

    standard ISO 5182.

    Using the proper electrodes for the spot welding application is necessary inorder to

    achieve the best results in any spot welding operation. Selection ofthe alloy is

    important since this can help modify the heat balance or reducethe tip wear. The tip

    face diameter and contour must also be consideredsince these factors control the

    welding pressure and current density whichmust be within an acceptable range for

    satisfactory results. Incorrect tip facegeometry will also result in increased surface

    marking.Although there are many alloys, types, sizes and shapes of

    electrodescommercially available, there are six standard nose configurations and,

    ofthese, there are three that are most frequently used for spot welding. Thereare: flat,

    radiused and domed. Most of the welding schedules are based onthese three shapes.

    Other sizes and shapes are often required to conform tothe contour of the weldment or

    to suit other conditions. Each of theelectrodes are manufactured using a number of

    different alloys to provide thebest combination of electrical and mechanical properties

    for a particularwelding operation.

    3.4.1 ELECTRODES SETTING FOR SPOT WELDING OF SHEETS

    Table 3.3: Suggested electrode tip diameter corresponding to the plate thickness

    for RSW

    PLATE THICKNESS (mm) 0.5 0.8 1 1.5 2 2.5 3 3.5 4 4.5 5

    REQUIRED ELECTRODE

    DIAMETER (mm)

    4 4.5 5 6 7 7.5 8.5 9.5 11 12 13

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    Suggested electrode tip angle is 120 degrees. If the thickness of the two plates in

    different, the electrode tip must have the diameter corresponding to the one required

    by the thinner of the plates to which it contacts.

    Figure 3-1: Electrode geometry to the thickness of the plate

    3.5 SPOT WELD NUGGET DIAMETER

    The most critical dimension to be determined for this study is the spot weld nugget

    diameter since it plays the vital role in determining the mode of failure of the welded

    joint. Several standards are set to determine the nugget dimension for a particular

    sheet metal thickness. Several researchers have also proposed mathematical equations

    for the calculation of a desired spot weld nugget diameter. Most of these standards

    and calculations were based upon the lap shear coupon configuration. Hence, the

    desired spot weld nugget diameter in this study is calculated for the lap shear coupon

    configuration.

    Ewing et al. (1982) and Chao (2003) have reported such standards concisely.American Welding society (AWS), American National Standards Institute (ANSI)

    and Society of Automotive Engineers (SAE) jointly recommended the size of the spot

    weld nugget diameter for steel according to the following equation.

    D = 4 t (3.1)

    Where Dand t are the nugget diameter and sheet thickness in mm respectively.

    Apart from the above mentioned equation, the following two equations are widely

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    used in the industry for the minimum nugget diameter and nominal nugget diameter

    respectively.

    D = ( ) (3.2)

    D = ( ) (3.3)

    whereD and t are in inch respectively. All these formulas provide a general idea

    about the dimension but they cannot distinguish between the failure modes of the spot

    weld nugget. VandenBossche (1977) first introduced such kind of formula to identify

    the nugget diameter in conjunction with the material property and coupon width

    value. The formula he proposed for transition weld diameter is given in the following

    form.

    =

    (3.4)

    WhereD, wandt are the nugget diameter, coupon width and sheet thickness in

    mm respectively. SYPMis the yield stress of the base metal. Chao (2003) later proposed

    a very simple form of equation to predict the critical nugget diameter for the failure

    from the interfacial mode to nugget pull out mode.

    The critical nugget diameter proposed by Chao (2003) is

    D = 3.41t3

    4

    (3.5)

    whereD and t are the nugget diameter and sheet thickness in mm.

    +8.48

    (3.6)

    Wheret is the thickness of the sheet metal (in mm), Hmax and Hmin are the

    maximum and minimum hardness value of the spot weld joint area.

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    Possible causes for the undersized weld issues are:

    Dirty material

    Electrode misalignment

    Insufficient cooling Weld current low

    Weld force high

    Weld time short

    Wrong tips.

    3.6 EXPULSION

    Expulsion is the forceful ejection of molten metal from the weld. Severe expulsion

    may eject enough material to create a through hole in the work piece, commonly

    termed burn through. When the high current combines with inadequate electrode

    force, improperly faced electrodes, or inadequate follow-up of the electrodes,

    expulsion occurs due to overheating. Expulsion may occur at any interface, i.e., at the

    electrode tip to work piece interface (Fig. A), or at any faying surface (Fig.B).

    Fig. A Fig. BFigure 3-2: A & B shows the types of expulsion

    Expulsion is caused by lack of containment of the expanding molten metal material

    between the electrode tip faces, and excessive expulsion is undesirable. Expulsion

    results in internal cavities and generally reduces the strength of the weld. This

    tendency is so pronounced that the maximum current is normally limited to a value

    where the expulsion will not occur.

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    Expulsion is a very significant issue for the spot welded product quality as expulsion

    at the weld interface may displace or may damage adhesives or sealers. Whiskers may

    prevent the installation of seals, or may damage them during installation. Corrosion is

    more likely to occur when burs/whiskers are present.

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    CHAPTER 4

    4. EXPERIMENTAL STUDY

    The material used in this project work is low carbon steel sheet metal, with a

    thickness of 1.0 mm and 1.5 mm for both the thicknesses the length of the coupon is

    80 mm and width of the coupon is 40 mm. The experiments involved joining of two

    and three sheets layer of sheet metal. In this experimental study the electrode size,

    squeezing force and squeezing cycle were constant throughout the study. The

    parameters vary only on welding current, welding time and sheet layers as shown in

    the following tables 1 to 4.

    Resistance spot welding conditions include three parameterswhich are force (axial

    squeezing force), electric current and welding time. The welding conditions for the

    two pieces of low carbon steel sheets with 1mm and 1.5 mm thickness of each work

    piece are shown in Table 4.1 and Table 4.2. Three levels ofwelding current (3.0 kA,

    3.5 kA, 4.0 kA) were selected in experiments.The welding time is indicated by current

    cycles which arewidely used for both alternative and direct current. One cycle is0.02

    seconds and alternative current was used in the experiments. The maximumcycles of

    welding current were 75 cycles (time is 1.5 seconds) and 100 cycles time is 2.0

    seconds). Theaxial force applied to electrodes was 2000 N and it was kept constant

    for all the experiments of sheet metal thickness 1 mm and 1.5 mm for both 2 sheets

    and for 3 sheets.The similar welding conditions were applied for 3 sheets spot

    welding process as per the data shown in Table 3 and Table 4. The nugget diameter

    d and thickness his measured in all the experimentswith different welding

    conditions for both 2 sheets and 3 sheets.

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    Table 4.1: Experimental data for 2 sheets spot welding process with 1.0 mm

    thickness

    S. No Sheet metal thickness

    (mm)

    Spot Welding Parameters

    WeldingCurrent (kA) ElectrodeForce (kN) Welding time(Cycles)

    1. 1 3.5 2 75

    2. 1 4.0 2 75

    3. 1 4.5 2 75

    4. 1 3.5 2 100

    5. 1 4.0 2 100

    6. 1 4.5 2 100

    Table 4.2: Experimental data for 2 sheets spot welding process with 1.5 mm

    thickness

    S. No Sheet metal thickness

    (mm)

    Spot Welding Parameters

    Welding

    Current (kA)

    Electrode

    Force (kN)

    Welding time

    (Cycles)

    1. 1.5 3.5 2 75

    2. 1.5 4.0 2 75

    3. 1.5 4.5 2 75

    4. 1.5 3.5 2 100

    5. 1.5 4.0 2 100

    6. 1.5 4.5 2 100

    Table 4.3: Experimental data for 3 sheets spot welding process with 1.0 mm

    thickness

    S. No Sheet metal thickness

    (mm)

    Spot Welding Parameters

    Welding

    Current (kA)

    Electrode

    Force (kN)

    Welding time

    (Cycles)

    1. 1.0 3.5 2 75

    2. 1.0 4.0 2 75

    3. 1.0 4.5 2 75

    4. 1.0 3.5 2 100

    5. 1.0 4.0 2 100

    6. 1.0 4.5 2 100

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    Table 4.4: Experimental data for 3 sheets spot welding process with 1.5 mm

    thickness

    S. No Sheet metal thickness

    (mm)

    Spot Welding Parameters

    WeldingCurrent (kA) ElectrodeForce (kN) Welding time(Cycles)

    1. 1.5 3.5 2 75

    2. 1.5 4.0 2 75

    3. 1.5 4.5 2 75

    4. 1.5 3.5 2 100

    5. 1.5 4.0 2 100

    6. 1.5 4.5 2 100

    4.1 SAMPLE PREPARATION AND THE TEST PLAN 1

    Figure 4-1: Two sheets spot weld coupons (specimens)

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    4.2 SAMPLE PREPARATION AND THE TEST PLAN 2

    Figure 4-2: Three sheets spot weld coupons (specimens)

    4.3 SPOT WELDING MACHINE

    In making a resistance spot weld, the machine used must deliver the correct amount of

    current, localize it at the point where welding is desired and apply the proper pressure at

    the correct time. The transformer and electrode system must also be cooled due to the

    heat generated using high current in resistance welding. Therefore, a resistance welding

    machine is basically composed of following systems:

    Electrical system

    Mechanical system

    Control system

    Cooling system

    4.3.1 ELECTRICAL SYSTEM

    The electrical system of resistance welding machine supplies electrical power to theweld in high current and low voltage, the major parts are the welding transformer and

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    the secondary circuit including the electrodes which conduct the welding current to

    the work. According to the electrical operation, the welding machines are classified as

    AC, DC and CD machines, which utilize alternating current, direct current and current

    from capacitor discharge, respectively.

    4.3.2 MECHANICAL SYSTEM

    The mechanical system of resistance welding machines is used to hold the workpiece

    and apply the welding force. For all types of welding machines, the mechanical

    system and secondary circuit designs are essentially the same, the major parts include

    pneumatic or hydraulic mechanisms, machine frame and some associated accessories.

    A general overview of each part is shown in Fig. 3. The following sections will

    mainly focus on the characteristics of resistance welding machines with air-operated

    mechanism and hydraulic mechanism.

    4.3.3 AIR-OPERATED MACHINES

    Air-operated machines are the most popular type. It is mainly used for small size of

    machines.

    Figure 4-3: Overview of mechanical system of spot and projection welding

    machine

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    A - air or hydraulic cylinder BramC - spot welding attachmentD - upper platen

    E - lower platen F - knee G - flexible conductor H - transformer secondary J - knee

    support

    The air machines can operate very rapidly and are easily set up for welding, providing

    much faster electrode follow-up because of the compressibility of air. The fast

    electrode follow-up is particularly important when spot and projection welding

    relatively thin sections. In addition, air-operated machines are low in noise during the

    operation.

    4.3.4 CONTROL SYSTEM

    The objectives of the control system of welding machines are basically to:

    Provide signals to control machine actions, making the machine working

    automatically following the sequence of welding steps.

    Start and stop the flow current to the welding transformer.

    Control the magnitude of the current.

    Furthermore, in recent years, the new-developed control systems even have the

    functions of on-line monitoring the welding quality. In servo-driven spot weld gun,

    the force is also controlled using the feedback control system.

    4.3.5 COOLING SYSTEM

    Most resistance welding machines use water cooling, the elements needed cooling

    include: SCR, secondary coil of welding transformer, welding circuit and electrodes.

    A closed-loop cycling system with distillation water is commonly used as the cooling

    system for resistance welding equipments.

    4.3.6 A.C. RESISTANCE WELDING MACHINE

    Most resistance welding machines are single-phase AC machines. This is the type ofmachine most commonly used, because it is the simplest and least expensive in initial

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    costs, installation and maintenance. The electrical circuit is shown in Fig. 4. and Fig.5.

    The power from the single phase of main power is applied to the primary side of the

    welding transformer through a switch (anti-phase dual silicon-controlled rectifiers),

    converted by the transformer and output high current (low voltage) on the secondary side.

    In AC resistance welding, the welding current flows with positive and negative half

    cycles, there is zero heat or current between these two half cycles. This is called cycling,

    which can cause some undesirable effects in welding smaller and thinner parts, where the

    weld time is typically under 3 cycles, because the weld may cools effectively between the

    half cycles, this will result in loss of the heat required to make a good weld.

    Another negative effect of cycling is that when the heat is not applied constantly

    throughout the duration of the weld, the nugget growth can be irregular. Variations in the

    weld nugget are directly related to the quality and strength of a weld. Other AC

    disadvantages are unbalanced line loading and lower power factors due to the inherent

    inductive reactance in the machine.

    4.3.7 A.C. SPECIFICATION OF RESISTANCE WELDING MACHINE

    For spot welding process a spot welding machine with rated configuration of rated

    capacity 15KVA, the maximum short circuit secondary - 18 kAmps, with a supply

    voltage of 415V and the rated frequency 50/60 Hz, control panel for the welding current,

    welding time and squeeze time controller was used. The maximum electrode force is

    3000 N (pneumatic loading). The welding electrodes were made of copper alloy with a

    conical shaped tip surface geometry. All the welding parameters were set to obtain a

    reasonably good spot weld nugget. It should be noted here that the weld lobe was not

    constructed in this study by varying the welding current and welding time during the spot

    welding process.

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    Figure 4-4: Various parts of RSW machine

    The variation was performed to obtain the maximum possible weld nugget diameter that

    the spot welding machine can produce. After performing the spot welding operation, the

    obtained spot weld nugget diameter was checked. This procedure is described in the next

    section.

    Figure 4-5: Resistance spot welding machine

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    Figure 4-6: The spot welding machine selected for the experiments

    4.4 SPOT WELD NUGGET DIMENSION CHECKING

    The coupons were checked after spot welding them together to ensure the desirable

    nugget diameter was attained. Welding quality is primarily depends on the nugget

    size. There are two critical nugget size parameters. The first is the nugget diameter

    which is represented by the width of the nugget at the faying surface. The second is

    the penetration depth which is the overall height of the nugget at its center. The figure

    below is the schematic view of the welding nugget diameter.

    Figure 4-7: Schematic view of nugget size diameter

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    During the welding process a large amount of heat is applied on the material, it

    undergoes severe changes in its micro structural format. So the hardness profile

    changes along the radial axis of the spot welded (nearly) circular nugget changes

    according to the applied heat. The three separate zones namely the spot welded

    nugget, the heat affected zones and the base metal are clearly identified in the

    following figure. These three zones have different levels of hardness values. So

    investigation of the hardness profile will definitely reveal the actual dimension of the

    spot weld nugget.

    Figure 4-7a: Different material zones around the spot weld

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    Figure 4-7b: Etched specimen of 1mm thickness

    4.5 SPOT WELDED SAMPLE OF TEST PLAN 1

    Figure 4-8: Two sheets spot weld coupons (specimens) after welding

    Height of the nugget

    Nugget Diameter

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    4.6 SPOT WELDED SAMPLE OF TEST PLAN 2

    Figure 4-9: Three sheets spot weld coupons (specimens) after welding

    To investigate the effect of welding time and current on nuggetsize, two series of test-

    specimens of the same material werewelded, fixing one parameter and varying the

    other. In order tochoose the best parameters for spot welding joint.

    After welding, the samples were prepared for metallographicexamination using

    standard metallography procedures. In thisstudy, Nital,which is the

    recommendedEtchant for low carbon steels, was used formacrography and

    investigation of thenugget size.

    4.7 PREPARATION OF ETCHED SAMPLES

    One method to determine the nugget diameter of a spot weld is to cut the welded

    material through the centre of the weld; the piece is then mounted (in epoxy) and

    polished. The polish specimen can then be etched to reveal the microstructure of the

    weld. This etching will show the boundary of nugget formed during welding as well

    as the boundary of the heat affected zone (HAZ).

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    The samples to be etched must first be trimmed down to a size by using either

    shearing or hacksaw cutting. Since some material will also be removed from the cut

    surface during the polishing process. After the specimen has been cut, it is cleaned

    thoroughly with soap and warm water and dried. This removes the oil used in the

    cutting process from the part. It also removes the contaminants that can become

    lodged between the non-welded sections of the work piece during the cutting process.

    Polishing is done on the samples and the faces are etched for metallography

    examination to measure weld nugget size and micro structure examination of the

    nugget and HAZ. The experimental results of nugget size are shown in the following

    tables 4.6 to 4.11:

    Figure 4-10: Nugget size for different direction (Above:Vertical, Below: Horizontal)

    The microscope was used to observe the nugget size. The sample preparation has

    several steps.

    1) Sectioning: limited the sample size to be examined by microscope.

    2) Cold mounting: the sample is embedded in epoxy type of materials.

    3) Grinding: removes the damages on the surface produced by sectioning,

    grindingmaterials: abrasive paper

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    4) Polishing: to produce a flat and scratch-free with high reflectivity

    5) Etching: using chemical to dissolve selectively the surface of materials inorder

    toreveal the inhomogeneous nature in microscopic scale.

    Table 4.5: Experimentally obtained values of nugget Height and Diameter for

    2 lap sheets spot weld of 1mm thickness under varying welding

    conditions

    Table 4.6: Experimentally obtained values of nugget Height and Diameter for

    2 lap sheets spot weld of 1.5 mm thickness under varying welding

    conditions

    Plates -2 Cycles

    (1c=20ms)

    Current

    (KA)

    Diameter

    (mm)

    Height

    (mm)Thickness

    1mm

    75

    3.5 3.8 0.85

    4.0 3.8 0.84

    4.5 4.0 0.85

    100

    3.5 4.1 0.87

    4.0 4.4 0.96

    4.5 4.8 0.87

    Plates-2 Cycles

    (1c=20ms)

    Current

    (KA)

    Diameter

    (mm)

    Height

    (mm)Thickness

    1.5 mm

    75

    3.5 3.80 0.85

    4.0 3.88 0.89

    4.5 4.24 1.06

    100

    3.5 4.36 1.10

    4.0 4.48 1.18

    4.5 4.52 1.22

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    Table 4.7: Experimentally obtained values of upper nugget Height and Diameter

    for 3 lap sheets spot weld of 1mm thickness under varying welding

    conditions

    Table 4.8: Experimentally obtained values of lower nugget Height and Diameter

    for 3 lap sheets spot weld of 1mm thickness under varying welding

    conditions

    Plates-3 Cycles

    (1c=20ms)

    Current

    (KA)

    Diameter

    (mm)

    Height

    (mm)Thickness

    1 mm

    ( lower

    eld)

    75

    3.5 3.43 0.75

    4.0 3.62 0.75

    4.5 3.70 0.77

    100

    3.5 4.00 0.86

    4.0 4.04 0.88

    4.5 4.20 0.90

    Plates -3 Cycles

    (1c=20ms)

    Current

    (KA)

    Diameter

    (mm)

    Height

    (mm)Thickness

    1mm

    (Upper

    weld)

    75

    3.5 3.70 0.88

    4.0 3.80 0.89

    4.5 4.20 0.92

    100

    3.5 4.22 0.92

    4.0 4.24 1.20

    4.5 4.51 1.25

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    Table 4.9: Experimentally obtained values of upper nugget Height and Diameter

    for 3 lap sheets spot weld of 1.5 mm thickness under varying welding

    conditions

    Table 4.10: Experimentally obtained values of lower nugget Height and

    Diameter for 3 lap sheets spot weld of 1.5 mm thickness under

    varying welding conditions

    Plates -3 Cycles

    (1c=20ms)

    Current

    (KA)

    Diameter

    (mm

    Height

    (mm)Thickness

    1.5 mm

    (upper

    eld)

    75

    3.5 3.40 0.82

    4.0 3.43 0.82

    4.5 3.80 0.87

    100

    3.5 3.92 0.96

    4.0 3.96 0.95

    4.5 4.02 0.96

    Plates-3 Cycles

    (1c=20ms)

    Current

    (KA)

    Diameter

    (mm)

    Height

    (mm)Thickness

    1.5 mm

    (Lower

    weld )

    75

    3.5 3.30 0.78

    4.0 3.35 0.80

    4.5 3.53 0.83

    100

    3.5 3.58 0.86

    4.0 3.70 0.90

    4.5 3.88 0.89

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    CHAPTER 5

    5. INTRODUCTION TO SIMULATION OF RSW PROCESS

    The RSW process has been widely employed in sheet metal fabrication owing to its

    high speedsuitability for automation and inclusion in high production assembly

    lines with other fabricating operationsIt is a complex process in which coupled

    interactions exist between electrical, thermal mechanical, metallurgical phenomena,

    and even surface behaviours. In order to well understand the mechanism of such a

    complex processnumerous researches have been performed on all kinds of welding

    conditions and materials, using both theoretical and experimental methodsIn recent

    yearsnumerical method provides a powerful tool in studying these interactions, and

    much related work has been done on the numerical modelling of RSW. In particular,

    the FEA, which can dea1 with nonlinear behaviours and complex boundary

    conditions, has become the most important method for the analysis of RSW process

    Nied developed the first FEA model for RSW process, investigated the effect of the

    geometry of electrode on work piece and predicted the deformation and stresses as a

    function of temperatureHowever, the model developed was restricted to elastic

    deformation, and not calculated the contact areas at the electrode work piece and

    faying surfaceFurthermoremany researchers developed more sophisticated FEA

    models that considered temperature dependent material properties, contact status,

    phase changing, and coupled field effects on the simulation of RSW. To solve a

    common coupled problem, the iterative solution procedure is an often adopted

    method, in which the equations describing different domains are solved separately

    using dedicated solvers, and the data exchanged at every time step until convergence

    of iteration is reached.

    This information is transferred forward to the next time step and the numerical

    scheme of study repeated. This iterative method can also be employed to simulate the

    interactions between coupled electrical, thermal, and structural fields of the RSW

    process. Initially the stress field and contact status are obtained from the thermal-

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    mechanical analysis, and then the temperature field is obtained from the fully coupled

    thermal-electrical analysis based on the contact area at the electrode work piece

    interface and faying surfaceThe calculated temperature field is then passed back to

    the thermal-structural analysis to update the stress field and contact status

    Even if the iterative method can provide the temperature field, the electric potential

    field, the stress and strain distributions in one calculation, the modelling of transient

    processes with such a methodology would probably require tremendous computing

    time. The objective of this project work is to develop a multi-coupled method to

    analyse the thermal and mechanical behaviours of RSW process, reduce the

    computing time with the minimum loss of accuracy and get more adequateinformation of the process, improve the quality monitoring and process control of

    RSW.

    5.1 FINITE ELEMENT MODEL

    5.1.1 HEAT TRANSFER ANALYSIS

    Heat transfer in resistance spot welding process involves convective heat transfer as

    well as heat conduction in bulk of the sheet-electrode system. The transient heat flow

    in resistance spot welding process has been modeled as a case of axisymmetric heat

    conduction problem.

    t

    T=q+

    r

    k+

    z+ v

    C

    T

    rz

    Tk

    r

    Tk

    r

    (1)

    Where , Cand kare density, specific heat and thermal conductivity respectively. All

    the material properties are considered to be temperature dependent. The term qv

    refers to the rate of internal heat generation per unit volume.

    The thermal boundary conditions can be decomposed from the nonlinear isotropic

    Fourier heat flux constitutive relation:

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    q = (2)

    On the boundary surface, there is

    q = n

    T (3)

    Where q is the heat flux through the boundary surface; n is the outward normal to the

    surface.

    5.1.2 ELECTRICAL FIELD ANALYSIS

    The governing equation of the electrical analysis is

    0+

    +Ce

    zC

    zrr

    C

    rre

    e

    (4)

    Where, Ce is the electrical conductivity; is the electrical potential.

    The coupled thermal electrical problem is solved by the following matrix equation:

    [ ] { }{ } [

    ]

    (5)

    Where is the thermal specific heat matrix; the thermal conductivity matrix;the electric coefficient matrix; temperature vector; the electric potentialvector; {Q} the heat flow vector; and {I} is the current vector.

    For the structural analysis, the stress equilibrium equation is given by

    ( ) (6)

    Where is the stress; bis the body force, r is the coordinate vector.

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    The constructive equation of the material based on the thermo-elastic-plastic theory is

    given by

    (7)

    (8)

    Where {} is the stress vector; [D] is the elastic-plastic matrix; {} is the strain

    vector; [De] is the elastic matrix; and {} is the coefficient of thermal expansion.

    5.2 MODELING AND PARAMETERS

    5.2.1 MODEL AND MESH

    Figure 5-1 illustrates the 2-dimensional axisymmetric FEA model of RSW process

    built in ANSYSprogram, where X and Y represent the faying surface and the

    axisymmetric axis respectivelyIts corresponding dimensions are tabulated in Table

    5.1Since the model is also mirror symmetric about thefaying surface, only the

    values of the upper half of the model are listed.

    Table 5.1: Model Dimensions

    Dimensions OE=HI

    (mm)

    OI=EH

    (mm)

    PA=FG

    (mm)

    PB

    (mm)

    AG

    (mm)

    EF

    (mm)

    ED

    (mm)

    OP

    (mm)

    Values 2 15 5 11 18 12.5 3 32 30o

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    Figure 5-1: The FEA model of RSW process

    Figure 5-1a: Boundary conditions for simulation

    http://www.sciencedirect.com/science/article/pii/S026130691000498X
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    Figure 5-2: FEM model for spot welding process with contact elements

    2-D axisymmetric models of two- as well as three-sheet joining with the application

    of round-face electrodes are constructed. Both electrical-thermal and mechanical

    contact elements are specially treated at the electrode-to-sheet and sheet-to-sheet

    interface. The imposed boundary conditions and representative mesh model can be

    found in Figure 5-2.

    In each analysis, the model is meshed using contact elements as shown in figure 5-2

    the solid element is employed to simulate the coupled interaction between the sheets

    and electrodes. In order to correctly couple and transfer the data the model must have

    identical mesh both in the electrical thermal analysis and in the thermo-elastic and

    plastic analysis. Whereas the element types are different or have different degree of

    freedom options, as shown in Table 5.2.

    Table 5.2: Element types and degree of freedom options

    Analysis Solid Contact element type

    Degree of freedom

    (for contact

    element)

    Electrical-Thermal PLANE 223 CONTACT172/TARGET 169 TEMP, CURRENT

    Thermo-Elastic-

    PlasticPLANE 223 CONTACT172/TARGET 169 UX, UY

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    5.2.2 MECHANICAL BOUNDARY CONDITIONS

    Uniform load was applied at the top of the copperelectrode during welding and

    holding cycle. The electrode was removed at the end of theholding cycle. At the

    faying surface between the electrode and the workpiece, a contact 172element was

    used. At the faying surface between workpiece and workpiece, the

    verticaldisplacement of the part of faying surface under electrode was set to zero, and

    asubroutine program was used to determine if the other part of faying surface is under

    contact or not. If some nodes are under contact and are under pressure stress, a

    zerovertical displacement was applied here.

    5.2.2a INTERFACE ELEMENTS

    The contact between an electrode and a sheet or between two sheets was modeled by

    the interface elements (Ma and Murakawa, 2009) as shown in Figure 5-2., and Figure

    5-3. If the strain n of the interface element in the normal direction n of the contact

    interface is larger than 1.0, the state of the interface is the non-contact state. In the

    initial state and non-contact state, the electrical conductivity Ce,thermal conductivity k

    and Youngs modulus E will be zero. This means that curren t flow through the

    interface element and heat generation will be zero at the inter-face element. If the

    strain n of the interface element in the normal direction n of the contact interface is

    equal to or less than 1.0, the state of the interface is the in-contact state. In the

    contact state, the electrical conductivity Ce, thermal conductivity k and Youngs

    modulus E will be a given value, respectively. This means that current flows through

    the interface element and heat is generated at the interface element. In the contact

    state, the interface element has a strong stiffness. The material properties of interface

    contact elements used for the analysis of the electrical field, thermal field and

    mechanical field are independent from worksheets and electrodes. Therefore, the

    contact resistance can also be considered if it is known. The formulation of the

    interface element has no much difference from the ordinary element except the

    material properties and their changes with the contact states. Therefore, it is relatively

    simple and reliable to deal with the electricalthermalmechanical contact between

    two faces for the spot welding process simulation.

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    Prior to welding, the electrical initial conditions are set equal to zero, while the

    temperature of entire structure is maintained at temperature of 20C. During the

    welding cycle, the welding current is applied at the top of the upper electrode and zero

    potential is imposed at the bottom surface of the lower electrode. Consequently, the

    current flows from the upper electrode, passes through work piece and terminates at

    the bottom annular section of the lower electrode. Both force and current are modelled

    from practical welding signals and defined as a time-dependent function.

    Figure 5-3: Contact elements

    5.3 WELDING PARAMETERS AND MATERIAL PROPERTIES

    The welding parameters used in this analysis arewelding current 50 Hz sine wave

    AC current of 3.5kA.4kA and 4.5kAweld time, 75cycles (1.5 S): 100 cycles ( 2 S )

    electrode force2000 Nhold time3 cycles (0.06S)The thermal, electrical and

    mechanical properties of electrode and work piece are given in Table 3 and Table

    4Because the materials are subjected to a wide range of temperatures, most of these

    properties are considered as temperature dependent.

    The most important property in the simulation of RSW process is the contact

    resistivity of faying surface. Generally speaking, the contact resistivity is a dependent

    function of contact pressure, temperature, and average yield strength of two contact

    materials. It is pointed out by Vogle M, and Sheppard S., that the contact resistance

    decreases as the contact pressure increases. Babu S.S., Santella M.L. developedan

    empirical model is for the pressure and temperature dependence of electrical contact

    resistance, a curve fitting procedure is used and the desired relationship between

    contact resistance and pressure and temperature is established

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    During the RSW process, the contact resistivity distribution influences the current

    density pattern, which affects the temperature field through Joule heating while, the

    temperature fieldthen influences the mechanical pressure distribution through thermal

    expansion, related to the interface resistivity. Therefore, this is a highly non-linear

    problem involving the complex interaction between thermal, electrical and

    mechanical phenomena. To simplify the problem, any researchers take the contact

    resistivity as a function of temperature. This simplification is reasonable because,

    firstly, the load is constant in a specified RSW process; secondly, the yield strength of

    the materials, which determines the contact status in the contact area, is essentially

    influenced by temperature with this simplification, the computing time can be greatly

    reduced. Therefore, in the present work, the temperature dependent contact resistance

    is imposed on the faying surface.

    Table 5.3: Thermal and electrical properties of materials

    Temperatur

    e

    C

    Thermal

    conductivity

    W/m.C

    Electrical

    resistivity

    .m 10-8

    Contact

    resistivity

    .m2 10

    -7

    Specific Heat

    J /(kg.C)

    Mild

    Steel

    Copper

    Electrode

    Mild

    Steel

    Copper

    Electrode

    Faying

    surface

    Mild

    Steel

    Copper

    Electrode

    21 64.75 390.3 14.2 2.64 2.38 443.8 397.8

    93 63.25 380.6 18.6 3 2.31 452.2 401.9

    204 55.33 370.1 26.7 4 2.25 510.8 418.7

    316 49.94 355.1 37.6 5.05 2.12 561.0 431.2

    427 44.86 345.4 49.5 6.19 1.93 611.3 439.6

    538 39.77 334.9 64.8 6.99 1.79 661.5 452.2

    649 34.91 320 81.1 8 1.31 762.0 464.7

    732 1004

    760 30.50 315.5 101.1 8.98 0.567 2386 477.3

    774 1004

    799 1189

    871 28.41 310.3 115.5 9.48 0.492

    982 27.66 305 115.8 9.98 0.417

    1093 28.56 300.1 117.9 0.342

    1204 120.9 118