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Dynamic Recrystallization Simulation of PH13-8Mo Stainless Steel by Cellular Automata Method Based on Laasraoui-Jonas

Linli Hu1, Shaoshuai Zhou2, Xunyu Yuan2

  • 1School of Mechanical Engineering, Jiangxi Vocational College of Mechanical and Electrical Technology, Nanchang 330013, China.

Materials (Basel, Switzerland)
|December 17, 2024
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Summary

This study reveals a new model for predicting dynamic recrystallization in PH13-8Mo stainless steel during hot compression. The Laasraoui-Jonas (L-J) dislocation density model accurately forecasts microstructure evolution and recrystallization behavior.

Keywords:
L–J dislocation density modelPH13-8Mo stainless steeldynamic recrystallizationmetacellular automata (CA) model

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Area of Science:

  • Materials Science
  • Metallurgy
  • Mechanical Engineering

Background:

  • Hot compression is critical for controlling the microstructure and properties of PH13-8Mo stainless steel.
  • Understanding dynamic recrystallization (DRX) is essential for optimizing hot working processes.
  • Existing models may not fully capture the complex interplay of factors influencing DRX.

Purpose of the Study:

  • To investigate the effects of hot compression parameters on the dynamic recrystallization behavior of PH13-8Mo stainless steel.
  • To develop and validate a coupled Laasraoui-Jonas (L-J) dislocation density model for predicting DRX.
  • To integrate the L-J model into finite element analysis for microstructure evolution simulation.

Main Methods:

  • Hot compression tests using a Gleeble-1500 machine at temperatures from 900-1150 °C and strain rates from 0.1-10 s⁻¹.
  • Development of a coupled L-J model incorporating dislocation density's role in DRX nucleation and evolution.
  • Integration of the L-J model with DEFORM-3D finite element software for microstructure simulation.

Main Results:

  • Stress-strain curves indicated clear dynamic recrystallization characteristics under various hot compression conditions.
  • The L-J model accurately predicted the combined effects of dynamic reversion and recrystallization.
  • Dislocation density was found to increase initially with deformation and then decrease.
  • Simulated microstructure evolution closely matched experimental metallographic observations.

Conclusions:

  • The developed L-J dislocation density model reliably predicts the dynamic recrystallization behavior of PH13-8Mo stainless steel during hot compression.
  • The model's accuracy in forecasting microstructure evolution validates its utility for process optimization.
  • Dislocation density plays a pivotal role in the nucleation and microstructural changes during DRX in this alloy.