Impact of Topology Optimization Problem Setup on Switched Reluctance Machine Design

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    We study the topology optimization (TO) of an 8/6 switched reluctance motor rotor in terms of torque and mass. Together with additive manufacturing, topology optimization offers disruptive possibilities in electrical machine design. We investigate how sensitive the TO is to the problem setup by varying mesh density, material definitions and initial values of optimization. We also derive and implement three different optimization problem formulations to improve the electrical machine performance. As a result, we found that the geometry obtained with this method is sensitive to both material definition and mesh density. Further, the rotor mass could not bedecreased significantly without compromising the average torque to some extent. However, through optimization, significant improvement of the torque values was gained for the rotor angles at the beginning or at the end of the stroke.
    Original languageEnglish
    Title of host publication2019 22nd International Conference on the Computation of Electromagnetic Fields (COMPUMAG)
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-7281-5592-0
    ISBN (Print)978-1-7281-5593-7
    DOIs
    Publication statusPublished - Jul 2019
    MoE publication typeA4 Article in a conference publication
    Event22nd International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2019 - Paris, France
    Duration: 15 Jul 201919 Jul 2019

    Conference

    Conference22nd International Conference on the Computation of Electromagnetic Fields, COMPUMAG 2019
    Country/TerritoryFrance
    CityParis
    Period15/07/1919/07/19

    Keywords

    • Electric machines
    • electromagnetic analysis
    • finite element method
    • switched reluctance motors
    • topology optimization

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