Prediction of the eddy-current and temperature distribution in a TFIH device using neural networks in order to improve the convergence of the finite element calculations

Author

Mai, W. ; Henneberger, G.

Author_Institution

Tech. Hochschule Aachen, Germany

Volume

35

Issue

3

fYear

1999

fDate

5/1/1999 12:00:00 AM

Firstpage

1586

Lastpage

1589

Abstract

This paper presents a method of predicting the eddy-current distribution in transverse flux inductive heating devices (TFIH) with the help of one neural network. A second neural network is used to obtain the temperature distribution in the thin moving conducting sheet caused by the eddy-current losses. Both solutions are initial solutions for the finite element calculations of this nonlinear coupled electromagneto-thermal problem

Keywords

current distribution; eddy current losses; finite element analysis; induction heating; magnetic flux; neural nets; nonlinear estimation; power engineering computing; temperature distribution; eddy-current distribution prediction; eddy-current losses; finite element calculations convergence; neural networks; nonlinear coupled electromagneto-thermal problem; nonlinear estimation; temperature distribution prediction; thin moving conducting sheet; transverse flux inductive heating device; Coils; Conducting materials; Conductors; Intelligent networks; Neural networks; Neurons; Sheet materials; Strips; Temperature distribution; Thermal conductivity;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.767285

Filename

767285