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Numerical modelling for electromagnetic processing of materials

Numerical modelling for electromagnetic processing of materials

Bojarevics, Valdis and Pericleous, Koulis A. (2007) Numerical modelling for electromagnetic processing of materials. In: Molokov, Sergei S., Moreau, R. and Moffatt, H. Keith, (eds.) Magnetohydrodynamics: historical evolution and trends. Fluid Mechanics and Its Applications, 80 (4). Springer Netherlands, Dordrecht, pp. 357-374. ISBN 9781402048326 (doi:10.1007/978-1-4020-4833-3)

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Abstract

Electromagnetic processing of materials (EPM) is one of the most widely practiced and fast growing applications of magnetic and electric forces to fluid flow. EPM is encountered in both industrial processes and laboratory investigations. Applications range in scale from nano-particle manipulation to tonnes of liquid metal treated in the presence of various configurations of magnetic fields. Some of these processes are specifically designed and made possible by the use of the electromagnetic force, like the magnetic levitation of liquid droplets, whilst others involve electric currents essential for electrothermal or electrochemical reasons, for instance, in electrolytic metal production and in induction melting. An insight for the range of established and novel EPM applications can be found in the review presented by Asai [1] in the EPM-2003 conference proceedings.

Item Type: Book Section
Uncontrolled Keywords: electromagnetic processing of materials (EPM), fluid flow, electromagnetic force, magnetic levitation of liquid droplets
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics
Pre-2014 Departments: School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:02
URI: http://gala.gre.ac.uk/id/eprint/988

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