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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Autores principales: Shuyang Luo, Xiuquan Ma, Jie Xu, Menglei Li, Longchao Cao
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/8d655a9aa96e49fb8af97659bf163073
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