Evaluation of Clustering Techniques to Predict Surface Roughness during Turning of Stainless-Steel Using Vibration Signals

In metal-cutting processes, the interaction between the tool and workpiece is highly nonlinear and is very sensitive to small variations in the process parameters. This causes difficulties in controlling and predicting the resulting surface finish quality of the machined surface. In this work, vibra...

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Detalles Bibliográficos
Autores principales: Abu-Mahfouz, Issam, Banerjee, Amit, Rahman, Esfakur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434284/
https://www.ncbi.nlm.nih.gov/pubmed/34501138
http://dx.doi.org/10.3390/ma14175050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434284/
https://www.ncbi.nlm.nih.gov/pubmed/34501138
http://dx.doi.org/10.3390/ma14175050

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