Artificial Neural Network-Based Critical Conditions for the Dynamic Recrystallization of Medium Carbon Steel and Application

Artificial Neural Network-Based Critical Conditions for the Dynamic Recrystallization of Medium Carbon Steel and Application

This study presents a novel and thorough approach to comprehending and simulating the DRX process while hot compressing steel. To achieve this goal, we studied the high-temperature deformation behavior of a medium-carbon steel through hot compression testing on a Gleeble-3800 thermomechanical simula...

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Bibliographic Details
Main Authors: Pierre Tize Mha, Prashant Dhondapure, Mohammad Jahazi, Amèvi Tongne, Olivier Pantalé
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Metals
Subjects:
artificial neural network
constitutive flow law
Gleeble simulator
dynamic recrystallization
finite element analysis
Online Access:https://www.mdpi.com/2075-4701/13/10/1746

Internet

https://www.mdpi.com/2075-4701/13/10/1746

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