Flow Behavior of AA5005 Alloy at High Temperature and Low Strain Rate Based on Arrhenius-Type Equation and Back Propagation Artificial Neural Network (BP-ANN) Model

Flow Behavior of AA5005 Alloy at High Temperature and Low Strain Rate Based on Arrhenius-Type Equation and Back Propagation Artificial Neural Network (BP-ANN) Model

To realize the purpose of energy saving, materials with high weight are replaced by low-weight materials with eligible mechanical properties in all kinds of fields. Therefore, conducting research works on lightweight materials under specified work conditions is extremely important and profound. To u...

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Bibliographic Details
Main Authors: Sijia Li, Wenning Chen, Krishna Singh Bhandari, Dong Won Jung, Xuewen Chen
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Materials
Subjects:
AA5005 alloy
high temperature
Arrhenius-type
flow stress
low strain rate
BP-ANN
Online Access:https://www.mdpi.com/1996-1944/15/11/3788

Internet

https://www.mdpi.com/1996-1944/15/11/3788

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