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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. ORCID: 0000-0002-7426-9999 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:

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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: 02 Mar 2019 15:52

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