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<p>Prediction of local microstructural and crystallographic texture evolution is crucial to developing modern forming processes which produce parts with precisely tailored geometry and microstructure. This work introduces the PIRATES (Process-scale Industry-Research Automated Texture Evolution Simulation) framework, which links commercial finite element software with the viscoplastic self-consistent (VPSC) mean-field crystal plasticity model as a post-processor to predict site-specific texture evolution, with a focus on computational efficiency and user-level modularity for an evolving forming industry ICME (integrated computational materials engineering) pipeline. A parametric study seeks to identify the parameters and physics necessary to accurately predict texture using this framework. The relationships between various parameterization schema were explored, further illustrating the need for careful user parameterization.</p>

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A Multiscale Model Predicting Site-Specific Texture Evolution: Application to Two-Phase Titanium Alloys

  • 期刊论文

  • 发表日期：

    2025年12月23日

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  • Benjamin A. Begley,
  • Megan E. Hurley,
  • Maxwell S. David,
  • Victoria M. Miller

摘要

Prediction of local microstructural and crystallographic texture evolution is crucial to developing modern forming processes which produce parts with precisely tailored geometry and microstructure. This work introduces the PIRATES (Process-scale Industry-Research Automated Texture Evolution Simulation) framework, which links commercial finite element software with the viscoplastic self-consistent (VPSC) mean-field crystal plasticity model as a post-processor to predict site-specific texture evolution, with a focus on computational efficiency and user-level modularity for an evolving forming industry ICME (integrated computational materials engineering) pipeline. A parametric study seeks to identify the parameters and physics necessary to accurately predict texture using this framework. The relationships between various parameterization schema were explored, further illustrating the need for careful user parameterization.