Real-time identification of molten pool and keyhole using a deep learning-based semantic segmentation approach in penetration status monitoring
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Title
Real-time identification of molten pool and keyhole using a deep learning-based semantic segmentation approach in penetration status monitoring
Authors
Keywords
Molten pool and keyhole, Image semantic segmentation, U-net model, Penetration status monitoring, Convolutional neural networks
Journal
Journal of Manufacturing Processes
Volume 76, Issue -, Pages 695-707
Publisher
Elsevier BV
Online
2022-03-05
DOI
10.1016/j.jmapro.2022.02.058
References
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