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New Platforms Based on Frontal Cellular Automata and Lattice Boltzmann Method for Modeling the Forming and Additive
Łukasz Łach1, Dmytro Svyetlichnyy1
1AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland.
Materials (Basel, Switzerland)
|November 11, 2022
Summary
New computational methods, including frontal cellular automata (FCA) and lattice Boltzmann method (LBM), enable efficient modeling of materials science processes. These advanced tools optimize technologies from recrystallization to additive manufacturing.
Area of Science:
- Materials Science
- Computational Modeling
Background:
- Materials science relies on theoretical and practical tools for technological advancement.
- Recent progress in computer software and systems facilitates rapid development and optimization of technologies.
Purpose of the Study:
- To present frontal cellular automata (FCA) and lattice Boltzmann method (LBM) for materials science modeling.
- To showcase the application of these methods in simulating various material processes.
Main Methods:
- Frontal Cellular Automata (FCA)
- Lattice Boltzmann Method (LBM)
- Development of integrated modeling platforms.
Main Results:
- Demonstrated effective and comprehensive modeling of phenomena like recrystallization, crystallization, and phase transformation.
- Presented successful simulations of processes including flat/shape rolling and additive manufacturing (Selective Laser Sintering/Selective Laser Melting).
Conclusions:
- FCA and LBM provide powerful tools for materials science modeling.
- Developed modeling platforms enable efficient simulation and optimization of diverse material technologies.
