Deep neural operator enabled digital twin modeling for additive manufacturing

A digital twin (DT), with the components of a physics-based model, a data-driven model, and a machine learning (ML) enabled efficient surrogate model, behaves as a virtual twin of the real-world physical process. In terms of Laser Powder Bed Fusion (L-PBF) based additive manufacturing (AM), a DT can...

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Bibliographic Details

Published in:	Advances in Computational Science and Engineering Vol. 2; no. 3; pp. 174 - 201
Main Authors:	Liu, Ning, Li, Xuxiao, Rajanna, Manoj R., Reutzel, Edward W., Sawyer, Brady, Rao, Prahalada, Lua, Jim, Phan, Nam, Yu, Yue
Format:	Journal Article
Language:	English
Published:	01.09.2024
Subjects:	closed-loop feedback control Digital twin Physics-informed modeling defect characterization laser powder bed fusion neural operators
ISSN:	2837-1739, 2837-1739
Online Access:	Get full text
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