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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Detalles Bibliográficos
Autores principales: Luo, Shuyang, Ma, Xiuquan, Xu, Jie, Li, Menglei, Cao, Longchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587444/
https://www.ncbi.nlm.nih.gov/pubmed/34770485
http://dx.doi.org/10.3390/s21217179

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587444/
https://www.ncbi.nlm.nih.gov/pubmed/34770485
http://dx.doi.org/10.3390/s21217179

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