DocumentCode :
41431
Title :
Integrated High-Frequency Coaxial Transformer Design Platform Using Artificial Neural Network Optimization and FEM Simulation
Author :
Li, Jeffrey ; water, Wayne ; Boyuan Zhu ; Junwei Lu
Author_Institution :
Queensland Micro- & Nanotechnol. Centre, Griffith Univ., Nathan, QLD, Australia
Volume :
51
Issue :
3
fYear :
2015
fDate :
Mar-15
Firstpage :
1
Lastpage :
4
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.
Keywords :
finite element analysis; high-frequency transformers; neural nets; optimisation; power engineering computing; power transformers; reliability; FEM simulation; artificial neural network optimization; finite element method; integrated high-frequency coaxial power transformer design platform; multiple interrelation design reliability; power 8 kW; transformer computer design environment; Artificial neural networks; Databases; Finite element analysis; Magnetics; Power transformers; Windings; Wires; Artificial neural network (ANN); finite-element method (FEM); high-frequency (HF) transformer; transformer design platform;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2014.2368123
Filename :
7093514
Link To Document :
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