A Random Forest Classifier for Anomaly Detection in Laser-Powder Bed Fusion Using Optical Monitoring

Metal additive manufacturing (AM) is a disruptive production technology, widely adopted in innovative industries that revolutionizes design and manufacturing. The interest in quality control of AM systems has grown substantially over the last decade, driven by AM’s appeal for intricate, high-value,...

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Detalles Bibliográficos
Autores principales: Khan, Imran Ali, Birkhofer, Hannes, Kunz, Dominik, Lukas, Drzewietzki, Ploshikhin, Vasily
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573617/
https://www.ncbi.nlm.nih.gov/pubmed/37834607
http://dx.doi.org/10.3390/ma16196470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573617/
https://www.ncbi.nlm.nih.gov/pubmed/37834607
http://dx.doi.org/10.3390/ma16196470

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