Kao, Andrew ORCID: 0000-0002-6430-2134, Krastins, Ivars, Alexandrakis, Matthaios, Shevchenko, Natalia, Eckert, Sven and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2018) A parallel cellular automata Lattice Boltzmann Method for convection-driven solidification. JOM Journal of the Minerals, Metals and Materials Society, 71 (1). pp. 48-58. ISSN 1047-4838 (Print), 1543-1851 (Online) (doi:https://doi.org/10.1007/s11837-018-3195-3)

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Abstract

This article presents a novel coupling of numerical techniques that enable three-dimensional convection-driven microstructure simulations to be con- ducted on practical time scales appropriate for small-size components or experiments. On the microstructure side, the cellular automata method is efficient for relatively large-scale simulations, while the lattice Boltzmann method provides one of the fastest transient computational fluid dynamics solvers. Both of these methods have been parallelized and coupled in a single code, allowing resolution of large-scale convection-driven solidification problems. The numerical model is validated against benchmark cases, extended to capture solute plumes in directional solidification and finally used to model alloy solidification of an entire differentially heated cavity capturing both microstructural and meso-/macroscale phenomena.

Item Type:	Article
Additional Information:	© The Author(s) 2018. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords:	Microstructure Evolution, Cellular Automata, Lattice Boltzman Method, Alloy solidification
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/22150

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