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A three-dimensional cellular automata model coupled with finite element method and thermodynamic database for alloy solidification

Zhao, Y.; Qin, R. S. and Chen, D. F. (2013). A three-dimensional cellular automata model coupled with finite element method and thermodynamic database for alloy solidification. Journal of Crystal Growth, 377 pp. 72–77.

DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.jcrysgro.2013.05.006
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Abstract

A three-dimensional (3D) cellular automata (CA) model has been developed for the simulation of microstructure evolution in alloy solidification. The governing rule for the CA model is associated with the phase transition driving force which is obtained via a thermodynamic database. This determines the migration rate of the non-equilibrium solid–liquid (SL) interface and is calculated according to the local temperature and chemical composition. The curvature of the interface and the anisotropic property of the surface energy are taken into consideration. A 3D finite element (FE) method is applied for the calculation of transient heat and mass transfer. Numerical calculations for the solidification of Fe–1.5 wt% C alloy have been performed. The morphological evolution of dendrites, carbon segregation and temperature distribution in both isothermal and non-isothermal conditions are studied. The parameters affecting the growth of equiaxed and columnar dendrites are discussed. The calculated results are verified using the analytical model and previous experiments. The method provides a sophisticated approach to the solidification of multi-phase and multi-component systems.

Item Type: Journal Item
Copyright Holders: 2013 Elsevier B.V.
ISSN: 0022-0248
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetChinese Scholarship Council
Not SetNot SetTATA Steel
Not SetNot SetRoyalAcademyofEngineering
Keywords: cellularautomata; crystalmorphology; finite-element analysis; solidification; growth from melt; alloys
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 41970
Depositing User: Rongshan Qin
Date Deposited: 12 Feb 2015 12:50
Last Modified: 14 Sep 2017 16:24
URI: http://oro.open.ac.uk/id/eprint/41970
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