A Comparative Study of Strain Rate Constitutive and Machine Learning Models for Flow Behavior of AZ31-0.5 Ca Mg Alloy during Hot Deformation

A Comparative Study of Strain Rate Constitutive and Machine Learning Models for Flow Behavior of AZ31-0.5 Ca Mg Alloy during Hot Deformation

In this study, isothermal compression tests of highly ductile AZ31-0.5Ca Mg alloys were conducted at different strain rates (0.001–0.1 s<sup>−1</sup>) and temperatures (423–523 K) along with extruded direction. The flow stress characteristics were evaluated at elevated temperatures. In a...

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Bibliographic Details
Main Authors: Umer Masood Chaudry, Russlan Jaafreh, Abdul Malik, Tea-Sung Jun, Kotiba Hamad, Tamer Abuhmed
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Mathematics
Subjects:
hot compression
flow characteristics
constitutive analysis
machine learning model
Online Access:https://www.mdpi.com/2227-7390/10/5/766

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