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  • Integrated high-frequency coaxial transformer design platform using artificial neural network optimization and FEM simulation

    Author(s)
    Li, Jeffrey
    Water, Wayne
    Zhu, Boyuan
    Lu, Junwei
    Griffith University Author(s)
    Lu, Junwei
    Year published
    2015
    Metadata
    Show full item record
    Abstract
    Designing a high-frequency power transformer is a complicated task due to its multiple interrelation design procedures, large number of variables, and other relevant factors. Traditional transformer design relies on manual paper work and personal experience, which requires engineering design man-hours and long delivery cycles. In this paper, a developed transformer computer design environment is addressed. It helps engineers to automatically model, simulate, and optimize transformer design using an artificial neural network algorithm and the finite-element method, and delivers a reliable design result. Utilizing the proposed ...
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    Designing a high-frequency power transformer is a complicated task due to its multiple interrelation design procedures, large number of variables, and other relevant factors. Traditional transformer design relies on manual paper work and personal experience, which requires engineering design man-hours and long delivery cycles. In this paper, a developed transformer computer design environment is addressed. It helps engineers to automatically model, simulate, and optimize transformer design using an artificial neural network algorithm and the finite-element method, and delivers a reliable design result. Utilizing the proposed platform, an 8 kW coaxial transformer is successfully designed, tested, and manufactured.
    View less >
    Journal Title
    IEEE Transactions on Magnetics
    Volume
    51
    Issue
    3
    DOI
    https://doi.org/10.1109/TMAG.2014.2368123
    Subject
    Physical sciences
    Other physical sciences not elsewhere classified
    Engineering
    Publication URI
    http://hdl.handle.net/10072/101261
    Collection
    • Journal articles

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