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

By Jeffrey Li, Wayne Water, Boyuan Zhu and Junwei Lu

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 platform, an 8 kW coaxial transformer is successfully designed, tested, and manufactured

Topics: Artificial neural network (ANN), finite-element method (FEM), high-frequency (HF) transformer, transformer design platform, 2208 Electrical and Electronic Engineering, 2504 Electronic, Optical and Magnetic Materials
Publisher: Institute of Electrical and Electronics Engineers
Year: 2015
DOI identifier: 10.1109/TMAG.2014.2368123
OAI identifier: oai:espace.library.uq.edu.au:UQ:a5c96b5
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