Development of the Modified Cellular Automata Sphere Growth Model for Creation of the Digital Material Representations

Abstract:

Development of reliable algorithm for generation of statistical representations of microstructure morphologies is the subject of the present work. The implemented cellular automata sphere growth model is presented first. Obtained grain size distribution of digital microstructure is compared with experimental measurements to prove efficiency of the proposed algorithm. Then, the grain growth model was additionally combined with the genetic algorithm optimization to extend its microstructure generation capabilities. Finally, possibilities of practical applications of generated digital material representation for modelling texture evolution during channel die test is presented.

• Periodical: Key Engineering Materials (Volumes 611-612)
• Pages: 489-496
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.611-612.489
• Online since: May 2014
• Authors: Łukasz Madej*, Kamil Pasternak, Joanna Szyndler, Wojciech Wajda
• Keywords: Cellular Automata, Digital Material Representation, Genetic Algorithm Optimization

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