A Physics-Informed Convolutional Neural Network with Custom Loss Functions for Porosity Prediction in Laser Metal Deposition

Physics-informed machine learning is emerging through vast methodologies and in various applications. This paper discovers physics-based custom loss functions as an implementable solution to additive manufacturing (AM). Specifically, laser metal deposition (LMD) is an AM process where a laser beam m...

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Detalles Bibliográficos
Autores principales: McGowan, Erin, Gawade, Vidita, Guo, Weihong (Grace)
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779806/
https://www.ncbi.nlm.nih.gov/pubmed/35062455
http://dx.doi.org/10.3390/s22020494

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779806/
https://www.ncbi.nlm.nih.gov/pubmed/35062455
http://dx.doi.org/10.3390/s22020494

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