Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes

Metal additive manufacturing (AM) has become a predominant process for manufacturing complex metal parts. However, research on controlling the geometric tolerances of the metal AM printed parts and assemblies is scarce. This paper presents a methodology to conduct a geometric tolerance and manufactu...

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Main Authors: Baltej Singh Rupal, Nabil Anwer, Marc Secanell, Ahmed Jawad Qureshi
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127520303762
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author Baltej Singh Rupal
Nabil Anwer
Marc Secanell
Ahmed Jawad Qureshi
author_facet Baltej Singh Rupal
Nabil Anwer
Marc Secanell
Ahmed Jawad Qureshi
author_sort Baltej Singh Rupal
collection DOAJ
description Metal additive manufacturing (AM) has become a predominant process for manufacturing complex metal parts. However, research on controlling the geometric tolerances of the metal AM printed parts and assemblies is scarce. This paper presents a methodology to conduct a geometric tolerance and manufacturing assemblability study of the parts manufactured by metal AM. An assembly benchmark test artifact (ABTA) is designed to include mating features with given assembly conditions based on geometric tolerancing quantifiers. For virtual analysis, prediction phase ABTA samples are generated by using systematic and random field theory deviations. The prediction phase deviations are then calibrated using deviations from a numerical simulation based on thermo-mechanical finite element model of the part. These samples or ‘skin model shapes’ are subjected to geometric tolerance and assemblability study. For experimental validation of the method, geometric tolerance quantification and actual assembly was conducted on laser powder bed fusion (LPBF) fabricated parts. The comparative analysis of the experimental and virtual results validates the new methodology and its ability to provide reliable information regarding assemblability, size dimensions and geometric tolerances. The method can be extended to any AM process for performing a virtual tolerance and manufacturing assemblability study.
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spelling doaj.art-a2ae5a962d8641e0b316753138d31c442022-12-22T03:55:45ZengElsevierMaterials & Design0264-12752020-09-01194108842Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processesBaltej Singh Rupal0Nabil Anwer1Marc Secanell2Ahmed Jawad Qureshi3Additive Design and Manufacturing Systems (ADaMS) Lab, Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada; Université Paris-Saclay, ENS Paris-Saclay, LURPA, 94235 Cachan, France; Energy Systems Design Lab (ESDL), Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, CanadaUniversité Paris-Saclay, ENS Paris-Saclay, LURPA, 94235 Cachan, FranceEnergy Systems Design Lab (ESDL), Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, CanadaAdditive Design and Manufacturing Systems (ADaMS) Lab, Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta T6G 1H9, Canada; Corresponding author.Metal additive manufacturing (AM) has become a predominant process for manufacturing complex metal parts. However, research on controlling the geometric tolerances of the metal AM printed parts and assemblies is scarce. This paper presents a methodology to conduct a geometric tolerance and manufacturing assemblability study of the parts manufactured by metal AM. An assembly benchmark test artifact (ABTA) is designed to include mating features with given assembly conditions based on geometric tolerancing quantifiers. For virtual analysis, prediction phase ABTA samples are generated by using systematic and random field theory deviations. The prediction phase deviations are then calibrated using deviations from a numerical simulation based on thermo-mechanical finite element model of the part. These samples or ‘skin model shapes’ are subjected to geometric tolerance and assemblability study. For experimental validation of the method, geometric tolerance quantification and actual assembly was conducted on laser powder bed fusion (LPBF) fabricated parts. The comparative analysis of the experimental and virtual results validates the new methodology and its ability to provide reliable information regarding assemblability, size dimensions and geometric tolerances. The method can be extended to any AM process for performing a virtual tolerance and manufacturing assemblability study.http://www.sciencedirect.com/science/article/pii/S0264127520303762Additive manufacturingLaser powder bed fusionGeometric dimensioning and tolerancingFinite element methodSkin model shapesDesign for additive manufacturing
spellingShingle Baltej Singh Rupal
Nabil Anwer
Marc Secanell
Ahmed Jawad Qureshi
Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes
Materials & Design
Additive manufacturing
Laser powder bed fusion
Geometric dimensioning and tolerancing
Finite element method
Skin model shapes
Design for additive manufacturing
title Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes
title_full Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes
title_fullStr Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes
title_full_unstemmed Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes
title_short Geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing (AM) processes
title_sort geometric tolerance and manufacturing assemblability estimation of metal additive manufacturing am processes
topic Additive manufacturing
Laser powder bed fusion
Geometric dimensioning and tolerancing
Finite element method
Skin model shapes
Design for additive manufacturing
url http://www.sciencedirect.com/science/article/pii/S0264127520303762
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