Powder Bed Monitoring Using Semantic Image Segmentation to Detect Failures during 3D Metal Printing

Monitoring the metal Additive Manufacturing (AM) process is an important task within the scope of quality assurance. This article presents a method to gain insights into process quality by comparing the actual and target layers. Images of the powder bed were captured and segmented using an Xception–...

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Detalles Bibliográficos
Autores principales: Schmitt, Anna-Maria, Sauer, Christian, Höfflin, Dennis, Schiffler, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181250/
https://www.ncbi.nlm.nih.gov/pubmed/37177389
http://dx.doi.org/10.3390/s23094183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181250/
https://www.ncbi.nlm.nih.gov/pubmed/37177389
http://dx.doi.org/10.3390/s23094183

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