Search:
Computing and Library Services - delivering an inspiring information environment

A numerical approach to determine the magnetic field distribution of an electromagnetic flow meter.

Leeungculsatien, Teerachai, Lucas, Gary and Zhao, Xin (2009) A numerical approach to determine the magnetic field distribution of an electromagnetic flow meter. In: Proceedings of Computing and Engineering Annual Researchers' Conference 2009: CEARC’09. University of Huddersfield, Huddersfield, pp. 147-152. ISBN 9781862180857

[img]
Preview
PDF - Published Version
Download (963kB) | Preview

    Abstract

    This paper addresses the design of a novel electromagnetic flow meter for use in multiphase flows. The relationship between the magnetic field distribution, the induced electrical potential and the velocity distribution of the conducting continuous phase was studied using COMSOL Multiphysics software (formally known as FEMLAB). The electromagnetic flow meter was modelled to its physical specification i.e. a PTFE pipe located within a Helmholtz coil. The Helmholtz coils were used to produce a magnetic field which was orthogonal to both the flow direction and to a chord joining the detection electrodes. At any instant in time, the magnetic flux density was uniform in the flow cross
    section. Using the model, the position of the electrodes could be changed to anywhere on the internal surface of the insulating PTFE wall of the flow meter - to satisfy the project requirement of measuring the induced electrical potentials at specific locations on the boundary of the flow.

    Item Type: Book Chapter
    Uncontrolled Keywords: Helmholtz coil, Lorentz force
    Subjects: T Technology > T Technology (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
    School of Computing and Engineering > Systems Engineering Research Group
    School of Computing and Engineering > High Performance Computing Research Group
    Related URLs:
    Depositing User: Sharon Beastall
    Date Deposited: 28 Jan 2010 09:58
    Last Modified: 16 Dec 2010 09:00
    URI: http://eprints.hud.ac.uk/id/eprint/6884

    Document Downloads

    Downloader Countries

    More statistics for this item...

    Item control for Repository Staff only:

    View Item

    University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©