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  • Integrated High Frequency Coaxial Transformer Design Platform Using Artificial Neural Network Optimization and FEM Simulation

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    95490_1.pdf (844.8Kb)
    Author(s)
    Li, Jeffrey
    Water, Wayne
    Zhu, Boyuan
    Lu, Junwei
    Griffith University Author(s)
    Lu, Junwei
    Zhu, Boyuan
    Li, Jeffrey
    Water, Wayne
    Year published
    2015
    Metadata
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    Abstract
    Designing a high frequency (HF) 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 (ANN) algorithm and the finite element method (FEM), and delivers a reliable design result. By ...
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    Designing a high frequency (HF) 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 (ANN) algorithm and the finite element method (FEM), and delivers a reliable design result. By utilizing the proposed platform, an 8kW coaxial transformer is successfully designed, tested and manufactured.
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    Conference Title
    The Sixteenth Biennial IEEE Conference on Electromagnetic Field Computation 2014
    DOI
    https://doi.org/10.1109/TMAG.2014.2368123
    Copyright Statement
    © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Renewable Power and Energy Systems Engineering (excl. Solar Cells)
    Physical Sciences
    Engineering
    Publication URI
    http://hdl.handle.net/10072/69528
    Collection
    • Conference outputs

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