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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Bibliographic Details
Main Authors: Tomasz Trzepieciński, Marcin Szpunar, Ľuboš Kaščák
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/10/2570