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The numerical modelling of DC electromagnetic pump and brake flow

The numerical modelling of DC electromagnetic pump and brake flow

Hughes, M., Pericleous, K.A. and Cross, M. (1995) The numerical modelling of DC electromagnetic pump and brake flow. Applied Mathematical Modelling, 19 (12). pp. 713-723. ISSN 0307-904X (doi:10.1016/0307-904X(95)00110-6)

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The interaction of an externally imposed magnetic and electric field on the laminar flow of a conducting fluid in a channel is studied using computational techniques. The Navier-Stokes equations and the equations describing the electromagnetic field are solved simultaneously in a single control volume-type computational fluid dynamic code, in a moderate Hartmann number and interaction parameter regime. The flow considered is two-dimensional, with an imposed magnetic field acting in the third dimension over the central region of the channel and decaying exponentially in the remainder. A pair of electrodes placed at right angles to the magnetic field exercises control over the resultant Lorentz force and hence the velocity profile shape. This configuration has application in direct-current electromagnetic pumps or, conversely, electromagnetic brakes. The initial parabolic flow profile acquires an M-shape / W-shape mode in the magnetic field fringe regions, corresponding to a pump / brake. A novel coupled procedure is described to model magnetohydrodynamic phenomena and is used to explore the effects of the Reynolds number, interaction parameter, and applied voltage on the pump / brake configuration.

Item Type: Article
Additional Information: [1] Available online: 14 January 2000. [2] Published in print: December 1995.
Uncontrolled Keywords: magneto-hydrodynamics, electromagnetic pump/brake, CFD, DC magnetic pump, MHD flow, Lorentz force, CFD simulation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Q Science > QC Physics
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group
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Last Modified: 14 Oct 2016 09:15
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None

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