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    Multiphysics 3D modelling of ironless permanent magnet generators

    245929_245929.pdf (15.31Mb)
    Access Status
    Open access
    Authors
    Zhang, Z.
    Muyeen, S.M.
    Al-Durra, A.
    Nilssen, R.
    Nysveen, A.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zhang, Z. and Muyeen, S.M. and Al-Durra, A. and Nilssen, R. and Nysveen, A. 2014. Multiphysics 3D modelling of ironless permanent magnet generators. Energy Procedia. 53: pp. 34-43.
    Source Title
    Energy Procedia
    DOI
    10.1016/j.egypro.2014.07.213
    ISSN
    1876-6102
    School
    Department of Electrical and Computer Engineering
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by-nc-nd/3.0/

    URI
    http://hdl.handle.net/20.500.11937/7625
    Collection
    • Curtin Research Publications
    Abstract

    Analytical method is widely used for the preliminary design and optimization of electrical machines. It has short calculation time and low computational cost (cost of simulation codes and supporting hardware), but the calculate result is normally considered to be not as accurate as finite element method (FEM). On the other hand, it is time-consuming to optimize machines with FEM if the optimization is not parallelized. Parallelizing optimization requires many licenses when commercial FEM codes are used, which can be very expensive. Ironless permanent magnet generator has large diameter and small aspect ratio, therefore, multiphysics approach is expected to be used for investigating the magnetic and thermal field. To address the above challenges, this paper presents a multiphysics modelling strategy for the design and optimization of ironless permanent magnet generators. Open-source codes are used to reduce the computational cost. A design example is presented to demonstrate the detail of this design method. This approach is expected to be used in super computer in the future, so that the calculation time can be largely reduced.

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