Inducted currents analysis in multiply connected conductors using reluctance-resistance networks


Wojciechowski, R.M., Demenko, A. and Sykulski, J.K. (2010) Inducted currents analysis in multiply connected conductors using reluctance-resistance networks. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 29, (4), 908-918.

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Description/Abstract

Purpose – The purpose of this paper is to develop a reluctance-resistance network (RRN) formulation for determining the induced current distributions in a 3D space of multiply connected conducting systems. Design/methodology/approach – The proposed RRN method has been applied to solve Problem No. 7 of the International TEAM Workshops. The induced currents in the conductive plate with an asymmetrically situated “hole” have been analysed. The RRN equations have been formed by means of the finite element method using the magnetic vector potential A and the electric vector potentials T and T0. The block relaxation method combined with the Cholesky decomposition procedure has been applied to solve the resultant RRN equations. Findings – Comparison with results published in literature has demonstrated high accuracy of the proposed RRN computational scheme while offering significant savings in computing times. Originality/value – A novel formulation of the RRN approach has been proposed and demonstrated to be computationally efficient.

Item Type: Article
Additional Information: DOI 10.1108/03321641011044325
ISSNs: 0332-1649
Keywords: Numerical analysis, Eddy currents, Electromagnetic field(s), Edge element method
Divisions: Faculty of Physical and Applied Science > Electronics and Computer Science > EEE
Item ID: 271461
Date Deposited: 05 Aug 2010 15:32
Last Modified: 24 Aug 2012 03:47
Contributors: Wojciechowski, R.M. (Author)
Demenko, A. (Author)
Sykulski, J.K. (Author)
Date: July 2010
Additional Information: DOI 10.1108/03321641011044325
Status: Published
Publisher: Emerald Group Publishing Limited
Further Information:Google Scholar
ISI Citation Count:0
URI: http://eprints.soton.ac.uk/id/eprint/271461

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