> Details

Levine, Lyle; Lane, Brandon; Becker, Chandler; Belak, James; Carson, Robert; Deisenroth, David; Glaessgen, Edward; Gnaupel-Herold, Thomas; Gorelik, Michael; Greene, Gretchen; Habib, Saadi; Higgins, Callie; Hill, Michael; Hrabe, Nik; Killgore, Jason; Kim, Jai Won; Lemson, Gerard; Migler, Kalman; Moylan, Shawn; Pagan, Darren; Phan, Thien; Praniewicz, Maxwell; Rowenhorst, David; Schwalbach, Edwin; [...]

Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article
  • Title: Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference
  • Contributor: Levine, Lyle; Lane, Brandon; Becker, Chandler; Belak, James; Carson, Robert; Deisenroth, David; Glaessgen, Edward; Gnaupel-Herold, Thomas; Gorelik, Michael; Greene, Gretchen; Habib, Saadi; Higgins, Callie; Hill, Michael; Hrabe, Nik; Killgore, Jason; Kim, Jai Won; Lemson, Gerard; Migler, Kalman; Moylan, Shawn; Pagan, Darren; Phan, Thien; Praniewicz, Maxwell; Rowenhorst, David; Schwalbach, Edwin; [...]
  • Published: Springer Science and Business Media LLC, 2024
  • Published in: Integrating Materials and Manufacturing Innovation, 13 (2024) 3, Seite 598-621
  • Language: English
  • DOI: 10.1007/s40192-024-00372-4
  • ISSN: 2193-9764; 2193-9772
  • Origination:
  • Footnote:
  • Description: AbstractThe 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.