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Rapid Grain Segmentation of Heat-treated and Annealed LPBF Haynes 282 Using an Unsupervised Learning-Based Computer Vision Approach

Published Online: 2025-01-20

Published Print: 2025-03

Authors

Yi, Yu-Tsen https://orcid.org/0000-0001-7039-2933
Seo, Junwon

Murphy, Kevin

Rollett, Anthony
Funding

Funding for this research was provided by:

National Energy Technology Laboratory (PELLBE00001)

Solar Energy Technologies Office (DE-EE008536)

Advanced Research Projects Agency (AR0001127)

Carnegie Mellon University (MCF-677785)

Carnegie Mellon University
License Information

Text and Data Mining valid from 2025-01-20

Version of Record valid from 2025-01-20
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Article History

Received: 11 November 2024

Accepted: 28 December 2024

First Online: 20 January 2025

Declarations

:

: The authors declare that they have no conflict of interest.

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