Adaptive mesh refinement for efficient random cellular automata finite element analysis in complex geometries
Mateusz SITKO, Kacper PAWLIKOWSKI, Konrad PERZYNSKI, Lukasz MADEJ
Abstract. Proper mesh discretization plays a crucial role in the accuracy of simulations using the coupled Random Cellular Automata Finite Element (RCAFE) method for modelling complex microstructure evolution problems like dynamic recrystallization (DRX). The mesh quality directly impacts the stability, convergence, and precision of FE simulations, making it a critical factor in achieving reliable results in the RCAFE model. Traditional mesh generation techniques face significant challenges when handling complex geometries, ensuring adaptive refinement, and maintaining mesh quality in high-gradient regions or anisotropic material models. Therefore, this paper focuses on developing a solution for adaptive remeshing tailored to the specific needs of RCAFE DRX simulations within commercial finite element Abaqus software. The process involves designing material-specific meshes based on digital microstructure morphology, utilizing structured meshes for homogeneous materials and heterogeneous meshes for complex microstructures such as dual-phase steels or multi-phase composites. The developed algorithmic solutions for automation of mesh modifications corresponding to the evolving microstructure morphology are presented within the work. Such an approach enables the efficient creation of high-quality, material-specific meshes in each time step, thereby improving the robustness and efficiency of RCAFE simulations across diverse applications.
Keywords
Random Cellular Automata, Finite Element Method, Mesh Generation
Published online 5/7/2025, 8 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Mateusz SITKO, Kacper PAWLIKOWSKI, Konrad PERZYNSKI, Lukasz MADEJ, Adaptive mesh refinement for efficient random cellular automata finite element analysis in complex geometries, Materials Research Proceedings, Vol. 54, pp 1945-1952, 2025
DOI: https://doi.org/10.21741/9781644903599-209
The article was published as article 209 of the book Material Forming
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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