A comparative study on modeling the hot deformation behavior of titanium-containing CoCrFeNi high entropy alloy using constitutive equation and machine learning algorithms

M. Karimzadeh

doi:10.1016/j.intermet.2026.109295

A comparative study on modeling the hot deformation behavior of titanium-containing CoCrFeNi high entropy alloy using constitutive equation and machine learning algorithms

2026-04-16

0

PRE

AI

M

M. Karimzadeh

M

Mehdi Malekan *

H

Hamed Mirzadeh

M

M. Malekpour Shahraki

L

Leijun Li

M

M.V. Farahani

DOI：10.1016/j.intermet.2026.109295

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Abstract

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• Evaluating the Hot Deformation Behavior of As-Cast CoCrFeNi-2at.%Ti High Entropy Alloy. • Successful Modeling of Hot Deformation Behavior through the Constitutive Equations and machine learning Algorithms. • Random Forest and Decision Tree Methods Achieved the Highest Predictive Performance. • Underscore the Potential of Machine Learning Approaches to Significantly Reduce the Experimental Workload.

Keywords:

Hot deformation behavior

High entropy alloy

Constitutive equations

Machine learning

Random Forest

A comparative study on modeling the hot deformation behavior of titanium-containing CoCrFeNi high entropy alloy using constitutive equation and machine learning algorithms

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