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

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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Détails bibliographiques
Auteurs principaux: Manuela-Roxana Dijmărescu, Bogdan Felician Abaza, Ionelia Voiculescu, Maria-Cristina Dijmărescu, Ion Ciocan
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
roughness prediction
biomedical alloys machining
Co–28Cr–6Mo
Co–20Cr–15W–10Ni
ANN model
AlTiCrSiN PVD coated tool
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Accès en ligne:https://doaj.org/article/75d6659a8ab9473fbefcfb52e3cc35c0
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Internet

https://doaj.org/article/75d6659a8ab9473fbefcfb52e3cc35c0

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