asme’s b46.1 surface texture 2019 edition - updates with
TRANSCRIPT
ASME’s B46.1 Surface Texture 2019 Edition -Updates with Additive Manufacturing
September 10, 2020
Today’s Speakers
T. Brian RenegarPhysical ScientistPhysical Measurement Laboratory at the National Institute of Standards and Technology (NIST)
Dr. Jason C. FoxMechanical EngineerEngineering Laboratory at the National Institute of Standards and Technology (NIST)
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Christopher A. Brown, PhD, FASMEProfessor of Mechanical Engineering, Surface Metrology Lab Founding DirectorWorcester Polytechnic Institute
B46.1-2019 Webinar - September 10, 2020
• Overview and Key Changes - Brian Renegar• Outline of Additive Manufacturing Updates - Jason Fox
o Brief Update of the section o What is needed in the future on the project team
• New Section on Functional Correlations - Chris Browno Transition from AM into functional correlationso Discrimination and Curvature
• Question and Answer Moderator - Dan Schertz, B46 Standards Committee Vice Chair
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Agenda
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Overview of Changes
• All Sectionso Minor updates, fixes, tweaks
• Section 1o Definition changeso Changes to several Figureso RSm – updates to
calculation & examples• Section 11
o Table revisions for clarity• App. B
o Additive Manufacturing• App. I
o Table I-1 updated• App. K
o Functional Correlations
2009profile irregularity
profile peakdef: point of maximum height
profile valleydef: point of minimum height
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Definition Changes
2019profile elementdef: profile peak + adjacent profile valley
profile peakdef: portion of profile above mean line
profile peak heightdef: max height of profile peak
profile valleydef: portion of profile below mean line
profile valley depthdef: max depth of profile valley
2009
2019
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Changes to RSm Definition & Figure ‒ 2009
• Only gives general guidance• Does not include real-world examples
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Changes to RSm Definition & Figure - 2019
New definition:
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Changes to RSm Definition & Figure - 2019
Legend:A = the start of the profile.B = in Direction 1, the first mean line crossing of the
profile; it does not count as the beginning of a valid profile element because the profile does not fully cross the meandiscrimination band.
B = in Direction 2, the termination point for Sm12; it is the last mean line crossing prior to the last full crossing of the mean discrimination band.
C = the start of Sm1; it is the last mean line crossing prior to a full crossing of the mean discrimination band.
D = a candidate mean line crossing where the profile does not exceed the lower limit of the mean discrimination band. Because it is not a full crossing, it does not count in either direction.
E = a candidate profile element where both the upper and lower limits of the mean discrimination band are crossed but the width of the candidate profile element isinsufficient to meet the width requirement (see inset graph). This section of the profile will be combined with the next profile element.
F = the end of Sm6 and the beginning of Sm7. Such congruence is not always the case, as illustrated in C and B for Sm1 and Sm12.
RSm –2019
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New Fig. - Indications of Surface Lay
Example of perpendicular lay
Example of particulate lay
• Figure updated• Same types of directionality are indicated• Reference changed from ISO 1302:2002 to
ASME Y14.36-2018
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Section 11 - Updated Tables
• Tables have been updated for readability• Gives guidance for Type C1, C2, & C4 periodic profile surfaces
Outline of Additive Manufacturing Updates
Dr. Jason FoxMechanical Engineer
Engineering Laboratory at the National Institute of Standards and Technology (NIST)
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Outline of AM Updates
• Problems characterizing additive manufacturing (AM) surfaces• How B46.1 addresses these problems• PT 53: What’s next and how to get involved
J.C. Fox, Variation of Surface Topography in Laser Powder Bed Fusion Additive Manufacturing of Nickel Super Alloy 625, J. Res. NIST. 124 (2019). https://doi.org/10.6028/jres.124.023.
Challenges for AM Surface Measurement
• Complex fabrication processo Dependent on many variableso Inconsistent
• Complexity in the AM surfaceo Large height variationso Steep slopeso Overhangs and undercuts
• Large variation in scaleso Sub-micrometer to centimeters
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J.C. Fox, B.M. Lane, H. Yeung, Measurement of process dynamics through coaxially aligned high speed NIR imaging in laser powder bed fusion additive manufacturing, in: Proc. SPIE 10214, Anaheim, CA, 2017. https://doi.org/10.1117/12.2263863.
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Problems Characterizing AM Surfaces
• Large variations across the surface
J.C. Fox, A. Pintar, Effect of measurement and sampling strategy in surface analysis of laser powder bed fusion additive manufacturing of nickel superalloy 625, Proceedings of the 2019 Special Interest Group Meeting: Advancing Precision in Additive Manufacturing, Nantes, FR, 2019: p. 4.
Large Stitched Area
Single Field of View
Sq Variation Across the Surface
Lateral Size of Measurement (mm)
Variation from Measurement Procedure
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Problems Characterizing AM Surfaces
• Strong dependence on the roughness average (Ra)• Ra is likely insufficient for describing AM surfaces
Ra = 20.9 μm Ra = 21.2 μm
J.C. Fox, S.P. Moylan, B.M. Lane, Effect of Process Parameters on the Surface Roughness of Overhanging Structures in Laser Powder Bed Fusion Additive Manufacturing, Procedia CIRP, Charlotte, NC, 2016: pp. 131–134. https://doi.org/10.1016/j.procir.2016.02.347.
B46.1-2019 Webinar - September 10, 2020
Problems Characterizing AM Surfaces
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AM Users and Researchers
Surface Metrologists/B46.1 Users
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• Lack of overlap in areas of expertiseo Leads to miscommunicationo Did anyone notice I didn’t
specify the filters used on the previous slide?
• Key goal is to increase this overlap
How B46.1 Addresses These Issues
All contained in Appendix B-5:• References to standard AM terminology, characterization best
practices, and other relevant standards are provided• Handling issues from cracks and porosity (similar to casting)• Cautionary statements on limited knowledge base and wide
range of AM systems and materials
B46.1-2019 Webinar - September 10, 202016
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PT53: What’s Next and How to Get Involved!
• Needs for non-metal materials (i.e., polymers, ceramics) is also required• Goals:
o Develop a stronger understanding of… Available parameters, filters, and their use with AM surfaces Sensitivity of parameters Uncertainty
o Closing the knowledge gapo Development of functional correlations for AM
• Participation in PT 53 does not require ASME membership!• Contacts:
o Jason Fox: [email protected] Kate Hyam: [email protected]
New B46.1 Section on Functional Correlations
NONMANDATORY APPENDIX KSUGGESTED TERMINOLOGY AND PROCEDURES FOR THE
EVALUATION OF FUNCTIONAL CORRELATIONS OF SURFACETEXTURES WITH PROCESSING AND PERFORMANCE
Christopher A. Brown, PhD, FASMEProfessor of Mechanical Engineering
Worcester Polytechnic InstituteWorcester, Massachusetts
September 10, 2020
B46.1-2019 Webinar - September 10, 202018
Where is Value in Measuring and Analyzing Surface Textures?
• Repeatability and reproducibilityoQuality assuranceo Agreement between buyer and seller Supports commerce
• Ability to discriminate with confidenceoQuality assurance o Anthropology, Archaeology and Forensics
• Discovery of functional correlationso Product and process designo Dimensioning and Tolerancing roughness, waviness and lay
B46.1-2019 Webinar - September 10, 202019
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Two Functional Correlation Types: Processing & Performance
y = 1.1571x + 0.9464R² = 0.993
01020304050607080
0 10 20 30 40 50 60 70
Y D
epen
dent
Var
iabl
e1s
tTe
xtur
e, 2
ndPe
rfor
man
ce
X Independent Variable1st Processing, 2nd Texture
1st Texture vs Processing2nd Performance vs Texture
Texture: combination of roughness, waviness, & lay is 1st a dependent variable
&2nd an independent variable
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Support: Evidenced-Based Specs for Product & Process Designs
Design of products uses correlations of the 2nd kind - between textures and performance parameters
SURFACE BEHAVIORPERFORMANCE PARAMETERS
SURFACE CREATIONPROCESSING PARAMETERS
TEXTURESSCALES, MEASUREMENTS AND
CHARACTERIZATIONS
Design of manufacturing processesuses correlations of the 1st kind - between processing parameters and textures
B46.1-2019 Webinar - September 10, 2020
Rationale: New Manufacturing Methods Can Require New Texture Characterizations
Subtractive:Conventionally machined surface
Additive: Fused Filament Fabrication (FFF aka FDM)
Friction and fatigue performance should be markedly different for similar values of conventional height parameters like Sa and St, or Ra and Rt.
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Ra = Σn
1
z1n Rq = z 2Σ
n
1
1n
z0
x
nz
arithmetic average: root mean square:
=Subtractive - machined Additive - FFF
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Average Roughness
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Customer Needs(what adds value)
Functional Requirements(what it does)
Design Parameters(what it looks like)
Process Variables(how you make it)
Functional correlations of the2nd kind
Functional correlations of the1st kind
N.P.Suh, Principles of Design, 1990
Stronger functional correlations increase certainty in processing and performance
B46.1-2019 Webinar - September 10, 2020
Engineering Design and Tolerancing
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Text
ure
char
acte
rizat
ion
para
met
er
Manufacturing process parameter
Process tolerance
Roughness tolerance
Abrasive processesRz = b + K (F/H)½
(Brown and Savary 1991 Wear 141, 211)
Supports process design and process control
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Functional Correlations, 1st Kind: Texture vs Process
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0
5
10
15
20
25
0 100 200 300
theoretical
measured
Rou
ghne
ss R
zμm
Feed μm/rev
Rz = f²/8r
Rz = f²/8r + 1.4μm
Texture-process relations for machining by turning at WPI on a Haas SL10, with a 0.4mm tool nose Kennametal insert. Unpublished 2013. Used in ME1800 at WPI.
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Example of a Correlation of the 1st Kind (Process-Texture)
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Texture characterization parameter
Perf
orm
ance
char
acte
rizat
ion
para
met
er
Performance tolerance
Roughness tolerance
B46.1-2019 Webinar - September 10, 2020
Functional Correlations, 2nd Kind: Performance vs Texture
Supports product design
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Texture characterization parameter
Perf
orm
ance
char
acte
rizat
ion
para
met
er
Performance tolerance
Roughness tolerance
B46.1-2019 Webinar - September 10, 2020
Functional Correlations, 2nd Kind: Performance vs Texture
Supports product design
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Texture characterization parameter
Perf
orm
ance
char
acte
rizat
ion
para
met
er
Perfo
rman
ce
tole
ranc
e
Roughness tolerance
B46.1-2019 Webinar - September 10, 2020
Functional Correlations, 2nd Kind: Performance vs Texture
Supports product design
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Conventional characterization parameters, e.g., Ra, Sa, do not describe textures adequately.Stylus instruments often lack sufficient resolutionCurrent specifications for product are based on experience with machining and grinding, which cannot be extended to additiveHow can:• Measurement instruments and methods be chosen• Appropriate characterization parameters be selected• New characterization parameters be developed• Useful statistical analyses be designed
B46.1-2019 Webinar - September 10, 2020
Conventional Height Parameters Do Not Provide Strong Correlations
Incorporate an image to reflect some of these points
“…comparison of the strength of correlations of different texture characterization parameters, different measurement methods, or different filtering”
B46.1 appendix K
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R2 Metric for the Strength of a Correlation
Incorporate a visual to help illustrate the idea
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Strengths of Functional Correlations Depend on
• Measurements• Texture characterization parameters• Statistical analyses• Scales
o filtering cutoffs and multiscale characterizations (ch. 10 B46.1)
“If you cannot measure it, you cannot improve it” William Thomson, 1st Baron Kelvin
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1st Kind of Functional Correlation
Lemoine, Adam Christopher; Velez, Joseluis Angel; Mancini, Matthew Philip, 2016, Multi-scale Surface Metrology of Additive Manufactured Surfaces,Worcester Polytechnic Institute, MQP
Inconel-nickel based powder laser sintered parts
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Examples: • 3-D printed• Laser melted metal powder surfaces
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Which provides stronger correlations with processing and performance variables?
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Laser Melted Metal Powder As Measured and Outlier Filtered
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Height Parameter vs Laser’s Linear Energy Density (LED)
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Area-Scale Analyses: Multiscale Geometric Characterization
B46.1 Section 10 Terminology and Procedures for Evaluation of Surface Textures Using Fractal Geometry
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Multiscale Regression AnalysesR² for Relative Area vs LED
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Relative Areas at Strongest Scales:Two Different Angles of Deposition
Example of a strong correlation using multiscale curvature analysis and regression testing
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Vulliez, M., Gleason, M., Souto-Lebel, A., Quinsat, Y., Lartigue, C., Kordel, S., Lemoine, A. and Brown, C., 2014, May. Multi-scale curvature analysis and correlations with the fatigue limit on steel surfaces after milling.
Fatigue Limit of Machined Parts: 2nd Kind of Functional Correlation
MISSING IMAGE39
-3º stress relieved transverse loading
45º stress relieved longitudinal loading
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Renderings of Measurements
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Fatigue Test Results
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R2 for Fatigue Limit vs Curvature vs Scale
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Correlation (R²=0.96) between fatigue limit and curvature at 610μm
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Fatigue Limit and Curvature Correlation
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Procedure for Determining Functional Correlation Strengths, R²
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ManufactureMeasure and characterize
textures
Test performance
Appendix K Regression
analyzes
Further reading:Brown, C.A., Hansen, H.N., Jiang, X.J., Blateyron, F., Berglund, J., Senin, N., Bartkowiak, T., Dixon, B., Le Goic, G., Quinsat, Y. and Stemp, W.J., 2018. Multiscale analyses and characterizations of surface topographies. CIRP annals, 67(2), pp.839-862.
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Thank You Very Much For Your Kind Attention!
B46.1-2019 Webinar - September 10, 2020
Moderator - Dan Schertz, B46 Standards Committee Vice Chair
• They’re living documents, the work has just begun!
• Interested in learning more about ASME B46.1 Surface Texture or how to get involved with the Committee?
o Contact Kate Hyam ([email protected] )
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Questions & Answers
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