| Abstract Scope |
The Additive Manufacturing Benchmark Test Series (AM Bench) are a recurring set of highly controlled measurements and resulting data with the primary objective of providing accurate, physical reference data to develop, test, and validate AM models and simulations. Validation of these models is an essential step for their use in qualification and certification (Q&C) of AM processes, parts, and materials. The AM Bench measurement datasets, created by NIST and select collaborators, include a wide variety of in-situ and ex-situ measurements applied to broad range of AM technologies and materials. This talk will review the AM Bench organization, example measurement datasets, and successes and lessons learned from the 2018 and 2022 test series. Additionally, this talk will preview AM Bench data management framework, which has been greatly extended to include carefully curated database, server-based data processing tools, and framework for sharing and tracking measurement and simulation data processing scripts and tools. |