A Data-Driven Framework for Direct Local Tensile Property Prediction of Laser Powder Bed Fusion Parts
This article proposes a generalizable, data-driven framework for qualifying laser powder bed fusion additively manufactured parts using part-specific in situ data, including powder bed imaging, machine health sensors, and laser scan paths. To achieve part qualification without relying solely on stat...
Main Authors: | Luke Scime, Chase Joslin, David A. Collins, Michael Sprayberry, Alka Singh, William Halsey, Ryan Duncan, Zackary Snow, Ryan Dehoff, Vincent Paquit |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-11-01
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Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/16/23/7293 |
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