Applied Sciences (Jan 2024)

Automated Reconstruction and Conforming Mesh Generation for Polycrystalline Microstructures from Imaging Data

  • Balavignesh Vemparala,
  • Wadi H. Imseeh,
  • Salil Pai,
  • Anand Nagarajan,
  • Timothy Truster,
  • Soheil Soghrati

DOI
https://doi.org/10.3390/app14010407
Journal volume & issue
Vol. 14, no. 1
p. 407

Abstract

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A new algorithm named PolyCISAMR is introduced to automatically generate high-fidelity conforming finite element (FE) meshes for two-dimensional polycrystalline microstructures. PolyCISAMR extends the capabilities of the Conforming to Interface Structured Adaptive Mesh Refinement (CISAMR) algorithm, which transforms a structured grid overlaid on the domain geometry into a high-quality conforming mesh. The PolyCISAMR approach uses a segregated meshing strategy, where CISAMR is used to discretize each grain independently and the resulting matching meshes are merged to form the final FE model. In addition, this article presents a set of integrated algorithms for processing low-resolution images of a polycrystal, reconstructed using DREAM.3D software (Version 6.5.121), to generate NURBS characterizations for each grain prior to mesh generation. Example problems demonstrate the effectiveness of PolyCISAMR in creating high-quality meshes for various polycrystalline metallic microstructures along with corresponding crystal plasticity finite element (CPFE) simulations.

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