Reducing the influence of the computational domain discretisation on grain growth in the cellular automaton austenite-to-ferrite transformation model

Reducing the influence of the computational domain discretisation on grain growth in the cellular automaton austenite-to-ferrite transformation model

Mariusz Wermiński, Mateusz Sitko, Łukasz Madej

Abstract. Changes in the microstructure that occur during the continuous cooling of steels significantly influence their properties. Accurate prediction of these changes is essential for understanding material behavior during complicated thermo-mechanical cycles. Full-field methods for modeling microstructure evolution during phase transformations (PT) enable detailed analyses of material behavior, offering valuable insights for result interpretation. This study uses the cellular automata (CA) full-field method to model the ferrite phase growth during the austenite-to-ferrite transformation in a modular manner, with a focus on how the discretization of the computational domain affects grain growth behavior. Three approaches to mitigate the artificial influence of the CA regular grid onto the shape of grain during the growth process are proposed. These approaches use different-sized Moore neighborhoods and include weights calculated from the Gaussian function. They are also assessed both qualitatively and quantitatively, and the outcome is presented in this work.

Keywords
Grain Growth, Cellular Automata, Artificial Anisotropy

Published online 5/7/2025, 9 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Mariusz Wermiński, Mateusz Sitko, Łukasz Madej, Reducing the influence of the computational domain discretisation on grain growth in the cellular automaton austenite-to-ferrite transformation model, Materials Research Proceedings, Vol. 54, pp 1953-1961, 2025

DOI: https://doi.org/10.21741/9781644903599-210

The article was published as article 210 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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