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

Author:

Vemparala Balavignesh1ORCID,Imseeh Wadi H.2,Pai Salil1,Nagarajan Anand1,Truster Timothy2ORCID,Soghrati Soheil13

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Ohio State University, Columbus, OH 43210, USA

2. Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA

3. Department of Materials Science and Engineering, Ohio State University, Columbus, OH 43210, USA

Abstract

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.

Funder

United States Air Force Office of Scientific Research

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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