TY - JOUR
T1 - Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference
AU - Levine, Lyle
AU - Lane, Brandon
AU - Becker, Chandler
AU - Belak, James
AU - Carson, Robert
AU - Deisenroth, David
AU - Glaessgen, Edward
AU - Gnaupel-Herold, Thomas
AU - Gorelik, Michael
AU - Greene, Gretchen
AU - Habib, Saadi
AU - Higgins, Callie
AU - Hill, Michael
AU - Hrabe, Nik
AU - Killgore, Jason
AU - Kim, Jai Won
AU - Lemson, Gerard
AU - Migler, Kalman
AU - Moylan, Shawn
AU - Pagan, Darren
AU - Phan, Thien
AU - Praniewicz, Maxwell
AU - Rowenhorst, David
AU - Schwalbach, Edwin
AU - Seppala, Jonathan
AU - Simonds, Brian
AU - Stoudt, Mark
AU - Weaver, Jordan
AU - Yeung, Ho
AU - Zhang, Fan
N1 - Publisher Copyright:
© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2024.
PY - 2024/9
Y1 - 2024/9
N2 - The Additive Manufacturing Benchmark Test Series (AM Bench) provides rigorous measurement data for validating additive manufacturing (AM) simulations for a broad range of AM technologies and material systems. AM Bench includes extensive in situ and ex situ measurements, simulation challenges for the AM modeling community, and a corresponding conference series. In 2022, the second round of AM Bench measurements, challenge problems, and conference were completed, focusing primarily upon laser powder bed fusion (LPBF) processing of metals, and both material extrusion processing and vat photopolymerization of polymers. In all, more than 100 people from 10 National Institute of Standards and Technology (NIST) divisions and 21 additional organizations were directly involved in the AM Bench 2022 measurements, data management, and conference organization. The international AM community submitted 138 sets of blind modeling simulations for comparison with the in situ and ex situ measurements, up from 46 submissions for the first round of AM Bench in 2018. Analysis of these submissions provides valuable insight into current AM modeling capabilities. The AM Bench data are permanently archived and freely accessible online. The AM Bench conference also hosted an embedded workshop on qualification and certification of AM materials and components.
AB - The Additive Manufacturing Benchmark Test Series (AM Bench) provides rigorous measurement data for validating additive manufacturing (AM) simulations for a broad range of AM technologies and material systems. AM Bench includes extensive in situ and ex situ measurements, simulation challenges for the AM modeling community, and a corresponding conference series. In 2022, the second round of AM Bench measurements, challenge problems, and conference were completed, focusing primarily upon laser powder bed fusion (LPBF) processing of metals, and both material extrusion processing and vat photopolymerization of polymers. In all, more than 100 people from 10 National Institute of Standards and Technology (NIST) divisions and 21 additional organizations were directly involved in the AM Bench 2022 measurements, data management, and conference organization. The international AM community submitted 138 sets of blind modeling simulations for comparison with the in situ and ex situ measurements, up from 46 submissions for the first round of AM Bench in 2018. Analysis of these submissions provides valuable insight into current AM modeling capabilities. The AM Bench data are permanently archived and freely accessible online. The AM Bench conference also hosted an embedded workshop on qualification and certification of AM materials and components.
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U2 - 10.1007/s40192-024-00372-4
DO - 10.1007/s40192-024-00372-4
M3 - Article
AN - SCOPUS:85198738872
SN - 2193-9764
VL - 13
SP - 598
EP - 621
JO - Integrating Materials and Manufacturing Innovation
JF - Integrating Materials and Manufacturing Innovation
IS - 3
ER -