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