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A multi scale method for thermo-electric MHD in dendritic solidification

A multi scale method for thermo-electric MHD in dendritic solidification

Kao, A. and Pericleous, K. (2012) A multi scale method for thermo-electric MHD in dendritic solidification. Journal of Iron and Steel International, 19 (S1-1). pp. 317-321. ISSN 1006-706X

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Abstract

A fully coupled transient 3-dimensional multi-scale model has been developed to predict the evolution of dendritic growth in alloys. The motivation to use such a method is to both reduce computational costs and increase the size of the computational domain. The model consists of a mixture of finite volume and finite difference solvers integrated within a novel multi-scale method that solves the three sets of equations (electromagnetism, heat transfer/solidification and fluid dynamics) on appropriate length and time scales. A locus-based method, allows for mesh refinement in regions of interest localised around the interface, to improve accuracy without incurring significant computational overheads. This method has facilitated modelling the evolution of complex 3-dimensional structures on a single processor within a reasonable amount of time. As a demonstration, the model is applied to a supercooled dendritic solidification problem, in the presence of a constant high magnetic field.

Item Type: Article
Additional Information: [1] This article is in the hardcopy of the Journal of Iron and Steel Research International, Vol. 19, Supplement 1-[Part]1. [2] The Journal of Iron and Steel Research International is sponsored by China Iron and Steel Research Institute Group.
Uncontrolled Keywords: multi-scale modelling, thermoelectric MHD, dendritic growth
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TJ Mechanical engineering and machinery
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9239

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