Yuan, Lang, Djambazov, Georgi ORCID: 0000-0001-8812-1269 , Lee, Peter D. and Pericleous, Koulis ORCID: 0000-0002-7426-9999 (2009) Multiscale modeling of the vacuum arc remelting process for the prediction on microstructure formation. International Journal of Modern Physics B, 23 (6-7). pp. 1584-1590. ISSN 0217-9792 (Print), 1793-6578 (Online) (doi:https://doi.org/10.1142/S0217979209061305)

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Abstract

The final solidification structures of Vacuum Arc Remelting (VAR) ingots depend on the temperature distribution and fluid motion within the molten pool. In this paper, a three-dimensional multi-physics macroscale model for VAR is developed, based on the modular CFD software PHYSICA. This model is used to provide estimates of process parameters and to study complex physical phenomena, such as liquid metal flow with turbulence, heat transfer, solidification, and magnetohydrodynamics in the VAR process. The macromodel is coupled to a microscale solidification model. The micromodel combines stochastic nucleation and a modified decentred square/octahedron method to describe dendritic growth with a finite difference computation of solute diffusion. The resulting multiscale model allows prediction of the formation of microstructures in the solidifying mushy zone. This gives a better understanding of the whole VAR process from operational conditions to final ingot microstructures, as well as an essential first step in defect prediction.

Item Type:	Article
Additional Information:	[1] First published: 20 March 2009. [2] Published as: International Journal of Modern Physics B, (2009), Vol. 23. (6-7), pp. 1584-1590. [3] This paper was published in International Journal of Modern Physics B (IJMPB), Volume 23, Issues 6-7 (20 March 2009). This was a SPECIAL ISSUE: Fifth International Conference on Advanced Materials and Processing (ICAMP-5), held 3-6 September 2008, Harbin, China. Editors - Deliang Zhang and Jun Shen, including papers from the ICAMP-5 Conference.
Uncontrolled Keywords:	vacuum arc remelting, multiscale modeling, magnetohydrodynamics, dendritic growth
Subjects:	Q Science > QA Mathematics T Technology > TN Mining engineering. Metallurgy
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher Organisation
Last Modified:	02 Mar 2019 15:52
URI:	http://gala.gre.ac.uk/id/eprint/6647

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