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

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-hou...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2015-03, Vol.51 (3), p.1-4
Main Authors: Li, Jeffrey, Water, Wayne, Boyuan Zhu, Junwei Lu
Format: Article
Language:English
Subjects:
Artificial neural networks
Computer design
Computer simulation
Finite element analysis
Finite element method
Magnetics
Magnetism
Manuals
Mathematical models
Platforms
Power transformers
Tasks
Transformers
Windings
Wires
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Description
Summary: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.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2014.2368123