Szczegóły publikacji
Opis bibliograficzny
Adaptive mesh refinement for efficient random cellular automata finite element analysis in complex geometries / Mateusz SITKO, Kacper PAWLIKOWSKI, Konrad PERZYŃSKI, Łukasz MADEJ // W: ESAFORM 2025 [Dokument elektroniczny] : the 28th international ESAFORM conference on Material Forming : 7–9 May, 2025, Paestum, Italy / eds. Pierpaolo Carlone, Luigino Filice, Domenico Umbrello. — Wersja do Windows. — Dane tekstowe. — Millersville : Materials Research Forum LLC, cop. 2025. — ( Materials Research Proceedings ; ISSN 2474-3941 ; vol. 54 ). — e-ISBN: 978-1-64490-359-9. — S. 1945–1952. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 1951–1952, Abstr. — Publikacja dostępna online od: 2025-05-07
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 159946 |
|---|---|
| Data dodania do BaDAP | 2025-10-01 |
| Tekst źródłowy | URL |
| DOI | 10.21741/9781644903599-209 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Materials Research Proceedings |
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.
