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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-05-01
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Series: | Materials |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1944/14/10/2570 |