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...

Full description

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

Similar Items

Similar Items