RESEARCH ARTICLE

Modeling and optimization of induction cooking by the use of magneto-thermal finite element analysis and genetic algorithms

  • Abdelkader KANSSAB , 1 ,
  • Abdelhalim ZAOUI 2 ,
  • Mouloud FELIACHI 3
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  • 1. Département d’Électrotechnique, University of Hassiba Benbouali, Chlef 02000, Algeria
  • 2. Military Polytechnic School, BP17 B.E.Bahri, Algiers, Algeria
  • 3. PRES-L’UNAM, IREENA, Bd de l'Université, BP 406, 44602 St-Nazaire cedex, France

Received date: 16 Dec 2010

Accepted date: 19 Jan 2012

Published date: 05 Sep 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

Induction cooking has several advantages compared to traditional heating system; however, to obtain best efficiency, it is essential to have an inductor giving homogeneous temperature on the pan bottom. For this aim, we propose a structure of inductor with four throats containing coils and optimize their distribution. In this paper, first we model magneto-thermal phenomenon of the system by a finite element method (FEM) for the mean to determine the distribution of temperature on the pan bottom by taking the nonlinearity of system. This study shows that a temperature distribution is not homogeneous. Second, with the aim to have homogeneous temperature distribution on the pan bottom, the optimal determination of throats distribution and their dimensions is obtained by genetic algorithms (GAs). The optimized structure permits to satisfy our aim.

Cite this article

Abdelkader KANSSAB , Abdelhalim ZAOUI , Mouloud FELIACHI . Modeling and optimization of induction cooking by the use of magneto-thermal finite element analysis and genetic algorithms[J]. Frontiers of Electrical and Electronic Engineering, 2012 , 7(3) : 312 -317 . DOI: 10.1007/s11460-012-0196-9

1
Davies E J, Simpson P G. Induction Heating Handbook. London: McGraw-Hill Book Company Ltd., 1995

2
Su W C. The control design and practical measurement for high frequency induction heating. Dissertation for the Master’s Degree. Chung Li: Chung Yuan Christian University, 1998

3
Acero J, Hernandez P J, Burdio J M, Alonso R, Barragdan L A. Simple resistance calculation in litz-wire planar windings for induction cooking appliances. IEEE Transactions on Magnetics, 2005, 41(4): 1280–1288

DOI

4
Holland J H. Adaptation in Natural and Artificial Systems. Cambridge, MA: MIT Press, 1992

5
Yokose Y, Cingoski V, Yamashita H. Genetic algorithms with assistant chromosomes for inverse shape optimization of electromagnetic devices. IEEE Transactions on Magnetics, 2000, 36(4): 1052–1056

DOI

6
Yokose Y, Cingoski V, Kaneda K, Yamashita H. Shape optimization of magnetic devices using genetic algorithms with dynamically adjustable parameters. IEEE Transactions on Magnetics, 1999, 35(3): 1686–1689

DOI

7
Burais N, Pertoldi S, Gaspard J Y. Couplage de modèles pour la conception d’inducteur de cuisson par induction. In: Proceedings of NUMELEC’97. 1997

8
Du Terrail Y, Sabonnadiere J C, Masse P, Coulomb J L. Nonlinear complex finite elements analysis of electromagnetic field in steady-state AC devices. IEEE Transactions on Magnetics, 1984, 20(4): 549–552

9
Féliachi M,Develey G. Magneto-thermal behavior finite element analysis for ferromagnetic materials in induction heating devices. IEEE Transactions on Magnetics, 1991, 27(6): 5235–5237

10
Byun J K, Choi K, Roh H S, Hahn S Y. Optimal design procedure for a practical induction heating cooker. IEEE Transactions on Magnetics, 2000, 36(4): 1390–1393

11
Moreau L. Modélisation, conception et commande de génératrices à réluctance variable basse vitesse. Thèse de Doctorat de l’Université de Nantes. Nantes: Université de Nantes, 2005

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