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This study focuses on the sensitivity analysis of parameters in the cellular automata-based microstructure generation model implemented in MatViz3D. The primary objective is to evaluate the influence of key parameters on the geometric characteristics of polycrystalline microstructures and optimize the model for reproducing experimental data. The analyzed parameters include cube edge size, concentration of nucleation points, generation methods, and algorithms. The geometric characteristics studied are normalized area, equivalent circle radius, orientation, and scale factor. Through systematic simulations, the study identifies the effects of parameter variations on microstructure properties and determines optimal parameter values. Graphical analyses illustrate the stabilization of geometric characteristics beyond specific parameter thresholds, highlighting areas where further refinement is needed. This research provides a foundation for improving the probabilistic algorithm in MatViz3D by enabling greater customization of growth parameters. The results offer valuable insights for accurately modeling polycrystalline structures and bridging the gap between experimental and simulated microstructures.

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Sensitivity Analysis of Parameters Used to Generate Material Microstructures by Cellular Automata

  • 会议论文

  • 发表日期：

    2025年

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  • Valeriia Hritskova,
  • Mariia Shapovalova,
  • Oleh Semenenko,
  • Oleksii Vodka

摘要

This study focuses on the sensitivity analysis of parameters in the cellular automata-based microstructure generation model implemented in MatViz3D. The primary objective is to evaluate the influence of key parameters on the geometric characteristics of polycrystalline microstructures and optimize the model for reproducing experimental data. The analyzed parameters include cube edge size, concentration of nucleation points, generation methods, and algorithms. The geometric characteristics studied are normalized area, equivalent circle radius, orientation, and scale factor. Through systematic simulations, the study identifies the effects of parameter variations on microstructure properties and determines optimal parameter values. Graphical analyses illustrate the stabilization of geometric characteristics beyond specific parameter thresholds, highlighting areas where further refinement is needed. This research provides a foundation for improving the probabilistic algorithm in MatViz3D by enabling greater customization of growth parameters. The results offer valuable insights for accurately modeling polycrystalline structures and bridging the gap between experimental and simulated microstructures.