Database Design Strategies for Coordinated Simulation and Testing in Additive Manufacturing

Andrew R Kitahara; George R Weber; Samuel JA Hocker; Brodan Richter; Joshua D Pribe; Edward H Glaessgen

NASA NTRS · 20230007199

Database Design Strategies for Coordinated Simulation and Testing in Additive Manufacturing

Andrew R Kitahara·George R Weber·Samuel JA Hocker·Brodan Richter·Joshua D Pribe·Edward H Glaessgen

Abstract

The qualification and certification (Q&C) process presents a significant challenge for widespread adoption of additive manufacturing (AM) materials and processes for aerospace applications. A relational database framework will be presented as a tool for data curation of coordinated experimental and computational materials modeling research activities. A comparison of relational and hierarchical data structures in this domain will be emphasized through the evolution of a database design strategy. This framework’s mission is to support the advancement of computational materials-informed Q&C by providing the necessary data infrastructure to trace reliability and reproducibility measures through unified AM materials simulation and experimental testing. FAIR (findable, accessible, interoperable, and reusable) data will be highlighted as a necessary precursor for automation of specific actions, which ultimately reduces the time and expense burden for Q&C. The discussion will be mostly limited to back-end design elements, though a few front-end user experience examples will also be shared.

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Qualification Certification Additive Manufacturing

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Andrew R Kitahara, George R Weber, Samuel JA Hocker, Brodan Richter, Joshua D Pribe, Edward H Glaessgen. Database Design Strategies for Coordinated Simulation and Testing in Additive Manufacturing. https://ntrs.nasa.gov/citations/20230007199

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