Using convolutional neural networks to classify melt pools in a pulsed selective laser melting process
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Title
Using convolutional neural networks to classify melt pools in a pulsed selective laser melting process
Authors
Keywords
Selective laser melting (SLM), Melt pool, In situ monitoring, Convolutional neural networks (CNN)
Journal
Journal of Manufacturing Processes
Volume 74, Issue -, Pages 486-499
Publisher
Elsevier BV
Online
2022-01-04
DOI
10.1016/j.jmapro.2021.12.030
References
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Related references
Note: Only part of the references are listed.- Processing parameters in laser powder bed fusion metal additive manufacturing
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