Experimental investigation and development of a deep learning framework to predict process-induced surface roughness in additively manufactured aluminum alloys

A deep learning framework is developed to predict the process-induced surface roughness of AlSi10Mg aluminum alloy fabricated using laser powder bed fusion (LPBF). The framework involves the fabrication of round bar AlSi10Mg specimens, surface topography measurement using 3D laser scanning profilome...

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Detalles Bibliográficos
Autores principales: Muhammad, Waqas, Kang, Jidong, Ibragimova, Olga, Inal, Kaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103541/
https://www.ncbi.nlm.nih.gov/pubmed/37070123
http://dx.doi.org/10.1007/s40194-022-01445-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103541/
https://www.ncbi.nlm.nih.gov/pubmed/37070123
http://dx.doi.org/10.1007/s40194-022-01445-8

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