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Data-driven prediction of keyhole features in metal additive manufacturing based on physics-based simulation

Published Online: 2023-06-16

Published Print: 2024-06

Authors

Xie, Ziyuan

Chen, Fan

Wang, Lu

Ge, Wenjun https://orcid.org/0000-0002-6595-3940
Yan, Wentao
Funding

Funding for this research was provided by:

Ministry of Education, Singapore (MOE-T2EP50221-0013)
License Information

Text and Data Mining valid from 2023-06-16

Version of Record valid from 2023-06-16
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Article History

Received: 24 July 2022

Accepted: 29 May 2023

First Online: 16 June 2023

Declarations

:

: We declare that we have no conflicts of interest, and this article is approved by all authors for publication.

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