Deep Learning Based Monitoring of Spatter Behavior by the Acoustic Signal in Selective Laser Melting
As one of the most promising metal additive manufacturing (AM) technologies, the selective laser melting (SLM) process has high expectations ofr its use in aerospace, medical, and other fields. However, various defects such as spatter, crack, and porosity seriously hinder the applications of the SLM...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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MDPI AG
2021
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| Accès en ligne: | https://doaj.org/article/8d655a9aa96e49fb8af97659bf163073 |
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