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Magneto-hydro-dynamic analysis of an electrolysis cell for aluminum production

Magneto-hydro-dynamic analysis of an electrolysis cell for aluminum production

Panaitescu, Ileana, Repetto, Maurizio, Leboucher, Laurent and Pericleous, Kyriacos ORCID: 0000-0002-7426-9999 (2000) Magneto-hydro-dynamic analysis of an electrolysis cell for aluminum production. IEEE Transactions on Magnetics, 36 (4). pp. 1305-1308. ISSN 0018-9464 (doi:10.1109/20.877679)

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Abstract

An electrolytic cell for Aluminum production contains molten metal subject to high currents and magnetic flux density. The interaction between these two fields creates electromagnetic forces within the liquid metal and can generate oscillations of the fluid similar to the waves at the free surface of oceans and rivers. The study of this phenomenon requires the simulation of the current density field, of the magnetic flux density field and the solution of the equations of motion of the liquid mass. An attempt
to analyze the dynamical behavior of this problem is made by coupling different codes, based on different numerical techniques, in a single tool. The simulations are presented and discussed.

Item Type: Article
Additional Information: [1] First published: July 2000. [2] Published online: 6 August 2002. [3] This paper was first presented at the 12th Conference on the Computation of Electromagnetic Fields (COMPUMAG'99) held from 25-28 October 1999 in Sapporo, Japan. [4] IEEE Transactions on Magnetics, Vol. 36, No. 4. contains selected papers from the 12th Conference on the Computation of Electromagnetic Fields (COMPUMAG'99) held from 25-28 October 1999 in Sapporo, Japan.
Uncontrolled Keywords: aluminum electrolysis cells, coupled fields, electromagnetic fields, magneto–hydro-dynamics
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
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
Related URLs:
Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/473

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