Deep learning prediction of stress fields in additively manufactured metals with intricate defect networks

• Main Authors: Croom, Brendan P, Berkson, Michael, Mueller, Robert K, Presley, Michael, Storck, Steven
• Format: Journal Article
• Language: English
• Published: 21.05.2021
• Subjects: Physics - Materials Science

In context of the universal presence of defects in additively manufactured (AM) metals, efficient computational tools are required to rapidly screen AM microstructures for mechanical integrity. To this end, a deep learning approach is used to predict the elastic stress fields in images of defect-con...