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Simulation of Abnormal Grain Growth Using the Cellular Automaton Method.

Kenji Murata1,2, Chihiro Fukui2, Fei Sun2

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Summary

Abnormal grain growth in steel, impacting properties like fatigue strength, can be controlled. Cellular automaton (CA) simulations revealed that controlling grain boundary mobility and precipitate dispersion effectively predicts and manages this phenomenon.

Keywords:
carburizingcellular automatongrain growth

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Area of Science:

  • Materials Science
  • Metallurgy
  • Computational Materials Science

Background:

  • Abnormal grain growth in steel during carburization negatively impacts mechanical properties, including heat treatment deformation and fatigue strength.
  • Controlling abnormal grain growth is crucial for enhancing steel performance and reliability in various applications.
  • Understanding the interplay between microstructure, precipitation, and heat treatment is essential for mitigating undesirable grain growth.

Purpose of the Study:

  • To investigate and control abnormal grain growth in steel during carburization.
  • To explore the influence of microstructure, precipitation, and heat treatment conditions on abnormal grain growth.
  • To validate the cellular automaton (CA) method for simulating and predicting abnormal grain growth.

Main Methods:

  • Simulated abnormal grain growth using the cellular automaton (CA) method.
  • Focused simulations on grain boundary anisotropy, precipitate dispersion, and their effects on grain boundary energy and mobility.
  • Incorporated the pinning effect of precipitates and their dispersion state into the grain growth simulations.

Main Results:

  • The CA simulation successfully reproduced abnormal grain growth phenomena.
  • Results highlighted the critical role of grain boundary mobility in abnormal grain growth.
  • Demonstrated the significant influence of precipitate dispersion state on the occurrence of abnormal grain growth.

Conclusions:

  • The cellular automaton (CA) method is a viable technique for predicting abnormal grain growth in steel.
  • Controlling grain boundary mobility and precipitate dispersion are key strategies for managing abnormal grain growth.
  • This study provides insights into material and process controls to prevent detrimental abnormal grain growth.