Title :
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
fDate :
5/1/1999 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
