Deep learning for melt pool depth contour prediction from surface thermal images via vision transformers
Anomalous melt pools during metal additive manufacturing (AM) can lead to deteriorated mechanical and fatigue performance. In-situ monitoring of the melt pool subsurface morphology requires specialized equipment that may not be readily accessible or scalable. Therefore, we introduce a machine learni...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
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| Series: | Additive Manufacturing Letters |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772369024000513 |
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