Surface Roughness Analysis and Prediction with an Artificial Neural Network Model for Dry Milling of Co–Cr Biomedical Alloys

The aim of this paper is to conduct an experimental study in order to obtain a roughness (Ra) prediction model for dry end-milling (with an AlTiCrSiN PVD-coated tool) of the Co–28Cr–6Mo and Co–20Cr–15W–10Ni biomedical alloys, a model that can contribute to more quickly obtaining the desired surface...

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Detalles Bibliográficos
Autores principales: Dijmărescu, Manuela-Roxana, Abaza, Bogdan Felician, Voiculescu, Ionelia, Dijmărescu, Maria-Cristina, Ciocan, Ion
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585254/
https://www.ncbi.nlm.nih.gov/pubmed/34771885
http://dx.doi.org/10.3390/ma14216361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8585254/
https://www.ncbi.nlm.nih.gov/pubmed/34771885
http://dx.doi.org/10.3390/ma14216361

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