Towards generalizable machine learning prediction of downskin surface roughness in laser powder bed fusion
Downskin surface quality of laser powder bed fusion (L-PBF) remains a challenge due to the complex, multi-scale physics governing it. While numerical or experimental approaches alone can be significantly resource intensive, data-driven approaches such as machine learning (ML) have the potential to b...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Advances in Industrial and Manufacturing Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666912925000078 |
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