Modeling of Friction Phenomena of Ti-6Al-4V Sheets Based on Backward Elimination Regression and Multi-Layer Artificial Neural Networks

This paper presents the application of multi-layer artificial neural networks (ANNs) and backward elimination regression for the prediction of values of the coefficient of friction (COF) of Ti-6Al-4V titanium alloy sheets. The results of the strip drawing test were used as data for the training netw...

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Detalles Bibliográficos
Autores principales: Trzepieciński, Tomasz, Szpunar, Marcin, Kaščák, Ľuboš
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156283/
https://www.ncbi.nlm.nih.gov/pubmed/34063434
http://dx.doi.org/10.3390/ma14102570

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156283/
https://www.ncbi.nlm.nih.gov/pubmed/34063434
http://dx.doi.org/10.3390/ma14102570

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