Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements
Laser powder bed fusion (LPBF) is one of the most potent additive manufacturing processes. One of the constraints for a broader industrial use of this process is the limited knowledge of its dimensional performances and geometrical behavior, as well as the inability to predict them as a function of...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2020-03, Vol.107 (3-4), p.1411-1436 |
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description | Laser powder bed fusion (LPBF) is one of the most potent additive manufacturing processes. One of the constraints for a broader industrial use of this process is the limited knowledge of its dimensional performances and geometrical behavior, as well as the inability to predict them as a function of material, process parameters, part size, and geometry. The objective of this study is to enrich knowledge of the geometric dimensioning and tolerancing (GD&T) performances of the LPBF process and to evaluate the distortion prediction capabilities of the ANSYS Additive Print
®
software. To this end, a selected topologically optimized part with three different support configurations was manufactured using an EOSINT M280 printer and AlSi10Mg powder. After printing, the parts were scanned using a coordinate measuring machine (CMM) and a micro-computed tomography (μ-CT) system. The GD&T calculations were carried out according to the ASME Y14.5 (2009) standard. The distortions measured by the CMM and μ-CT techniques were 0.195 mm and 0.368 mm, respectively (95% interval). After the software calibration and two numerical sensitivity studies, the same stereolithography files used to print the parts were downloaded into the ANSYS Additive Print
®
software to calculate distortions caused by the process. The differences between the experimentally measured and the ANSYS-predicted distortions for a 56 mm × 58 mm × 137 mm part fell within a 0.134 mm range at a 95% interval. The fidelity of the numerical predictions, the impact of the support structures, and the differences induced by the CMM and μ-CT measurement uncertainties are presented and discussed. |
doi_str_mv | 10.1007/s00170-020-04987-7 |
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®
software. To this end, a selected topologically optimized part with three different support configurations was manufactured using an EOSINT M280 printer and AlSi10Mg powder. After printing, the parts were scanned using a coordinate measuring machine (CMM) and a micro-computed tomography (μ-CT) system. The GD&T calculations were carried out according to the ASME Y14.5 (2009) standard. The distortions measured by the CMM and μ-CT techniques were 0.195 mm and 0.368 mm, respectively (95% interval). After the software calibration and two numerical sensitivity studies, the same stereolithography files used to print the parts were downloaded into the ANSYS Additive Print
®
software to calculate distortions caused by the process. The differences between the experimentally measured and the ANSYS-predicted distortions for a 56 mm × 58 mm × 137 mm part fell within a 0.134 mm range at a 95% interval. The fidelity of the numerical predictions, the impact of the support structures, and the differences induced by the CMM and μ-CT measurement uncertainties are presented and discussed.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-020-04987-7</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Aluminum base alloys ; CAE) and Design ; Computed tomography ; Computer-Aided Engineering (CAD ; Coordinate measuring machines ; Distortion ; Engineering ; Industrial and Production Engineering ; Industrial applications ; Lithography ; Mechanical Engineering ; Media Management ; Numerical prediction ; Original Article ; Powder beds ; Process parameters ; Rapid prototyping ; Software</subject><ispartof>International journal of advanced manufacturing technology, 2020-03, Vol.107 (3-4), p.1411-1436</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2020</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-fb1a6ed94df38ca0cb6ce2d55b85de5ac24c572387de2d1c7bcf929edb74f9333</citedby><cites>FETCH-LOGICAL-c390t-fb1a6ed94df38ca0cb6ce2d55b85de5ac24c572387de2d1c7bcf929edb74f9333</cites><orcidid>0000-0003-0035-8566</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-020-04987-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-020-04987-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Zongo, Floriane</creatorcontrib><creatorcontrib>Simoneau, Charles</creatorcontrib><creatorcontrib>Timercan, Anatolie</creatorcontrib><creatorcontrib>Tahan, Antoine</creatorcontrib><creatorcontrib>Brailovski, Vladimir</creatorcontrib><title>Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>Laser powder bed fusion (LPBF) is one of the most potent additive manufacturing processes. One of the constraints for a broader industrial use of this process is the limited knowledge of its dimensional performances and geometrical behavior, as well as the inability to predict them as a function of material, process parameters, part size, and geometry. The objective of this study is to enrich knowledge of the geometric dimensioning and tolerancing (GD&T) performances of the LPBF process and to evaluate the distortion prediction capabilities of the ANSYS Additive Print
®
software. To this end, a selected topologically optimized part with three different support configurations was manufactured using an EOSINT M280 printer and AlSi10Mg powder. After printing, the parts were scanned using a coordinate measuring machine (CMM) and a micro-computed tomography (μ-CT) system. The GD&T calculations were carried out according to the ASME Y14.5 (2009) standard. The distortions measured by the CMM and μ-CT techniques were 0.195 mm and 0.368 mm, respectively (95% interval). After the software calibration and two numerical sensitivity studies, the same stereolithography files used to print the parts were downloaded into the ANSYS Additive Print
®
software to calculate distortions caused by the process. The differences between the experimentally measured and the ANSYS-predicted distortions for a 56 mm × 58 mm × 137 mm part fell within a 0.134 mm range at a 95% interval. The fidelity of the numerical predictions, the impact of the support structures, and the differences induced by the CMM and μ-CT measurement uncertainties are presented and discussed.</description><subject>Aluminum base alloys</subject><subject>CAE) and Design</subject><subject>Computed tomography</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Coordinate measuring machines</subject><subject>Distortion</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Industrial applications</subject><subject>Lithography</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Numerical prediction</subject><subject>Original Article</subject><subject>Powder beds</subject><subject>Process parameters</subject><subject>Rapid prototyping</subject><subject>Software</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kc1KxDAURoMoOI6-gKuA62p-2qZ1Nww6CiMu1HVIk5uhw7SpSTsquPAdfEOfxIwV3LkIl-See0LyIXRKyTklRFwEQqggCWFxpWUhErGHJjTlPOGEZvtoQlheJFzkxSE6CmEd8ZzmxQS9L8A10PtaYwPbWvW1awN2Fm9UAI8792JiqcB8fXzaIYDBs81DTcndCmvXdK6Ftg-XuB0aiA61wZ0HU-tRswUfhoDhtYvNJpKx34AKg4fdLhyjA6s2AU5-6xQ9XV89zm-S5f3idj5bJpqXpE9sRVUOpkyN5YVWRFe5BmayrCoyA5nSLNWZYLwQJh5TLSptS1aCqURqS875FJ2N3s675wFCL9du8G28UrK0JEWes1T8S0V3yYiIPzpFbKS0dyF4sLKLb1P-TVIid1nIMQsZs5A_Wcidmo9DIcLtCvyf-p-pb-mgkGc</recordid><startdate>20200301</startdate><enddate>20200301</enddate><creator>Zongo, Floriane</creator><creator>Simoneau, Charles</creator><creator>Timercan, Anatolie</creator><creator>Tahan, Antoine</creator><creator>Brailovski, Vladimir</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-0035-8566</orcidid></search><sort><creationdate>20200301</creationdate><title>Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements</title><author>Zongo, Floriane ; Simoneau, Charles ; Timercan, Anatolie ; Tahan, Antoine ; Brailovski, Vladimir</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-fb1a6ed94df38ca0cb6ce2d55b85de5ac24c572387de2d1c7bcf929edb74f9333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aluminum base alloys</topic><topic>CAE) and Design</topic><topic>Computed tomography</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Coordinate measuring machines</topic><topic>Distortion</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Industrial applications</topic><topic>Lithography</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Numerical prediction</topic><topic>Original Article</topic><topic>Powder beds</topic><topic>Process parameters</topic><topic>Rapid prototyping</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zongo, Floriane</creatorcontrib><creatorcontrib>Simoneau, Charles</creatorcontrib><creatorcontrib>Timercan, Anatolie</creatorcontrib><creatorcontrib>Tahan, Antoine</creatorcontrib><creatorcontrib>Brailovski, Vladimir</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zongo, Floriane</au><au>Simoneau, Charles</au><au>Timercan, Anatolie</au><au>Tahan, Antoine</au><au>Brailovski, Vladimir</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2020-03-01</date><risdate>2020</risdate><volume>107</volume><issue>3-4</issue><spage>1411</spage><epage>1436</epage><pages>1411-1436</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Laser powder bed fusion (LPBF) is one of the most potent additive manufacturing processes. One of the constraints for a broader industrial use of this process is the limited knowledge of its dimensional performances and geometrical behavior, as well as the inability to predict them as a function of material, process parameters, part size, and geometry. The objective of this study is to enrich knowledge of the geometric dimensioning and tolerancing (GD&T) performances of the LPBF process and to evaluate the distortion prediction capabilities of the ANSYS Additive Print
®
software. To this end, a selected topologically optimized part with three different support configurations was manufactured using an EOSINT M280 printer and AlSi10Mg powder. After printing, the parts were scanned using a coordinate measuring machine (CMM) and a micro-computed tomography (μ-CT) system. The GD&T calculations were carried out according to the ASME Y14.5 (2009) standard. The distortions measured by the CMM and μ-CT techniques were 0.195 mm and 0.368 mm, respectively (95% interval). After the software calibration and two numerical sensitivity studies, the same stereolithography files used to print the parts were downloaded into the ANSYS Additive Print
®
software to calculate distortions caused by the process. The differences between the experimentally measured and the ANSYS-predicted distortions for a 56 mm × 58 mm × 137 mm part fell within a 0.134 mm range at a 95% interval. The fidelity of the numerical predictions, the impact of the support structures, and the differences induced by the CMM and μ-CT measurement uncertainties are presented and discussed.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-020-04987-7</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0003-0035-8566</orcidid></addata></record> |
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subjects | Aluminum base alloys CAE) and Design Computed tomography Computer-Aided Engineering (CAD Coordinate measuring machines Distortion Engineering Industrial and Production Engineering Industrial applications Lithography Mechanical Engineering Media Management Numerical prediction Original Article Powder beds Process parameters Rapid prototyping Software |
title | Geometric deviations of laser powder bed–fused AlSi10Mg components: numerical predictions versus experimental measurements |
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