Abstract
In this paper an induction heating system is optimized using the hybrid FEM-DBCI (Finite Element Method — Dirichlet Boundary Condition Iteration) to evaluate the objective function. In order to reduce the computing time for the whole procedure, Design of Experiments (DOE) techniques are used to screen significant geometric parameters. Once the number of problem variables is decreased, the optimization is performed by means of the Hooke-Jeeves algorithm. The results are compared with those obtained by stochastic optimization of the device.
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References
D.C. Montgomery, “Design and Analysis of Experiments,” Wiley, 1997.
P. G. Alotto, M. Gaggero, G. Molinari and M. Nervi, “A Design of Experiment and Statistical Approach to Enhance the Generalized Responce Surface Method in the Optimisation of Multiminima Problems,” IEEE Transactions on Magnetics, vol. 33, 1997, pp. 1896 - 1899.
S.Brisset, F.Gillon, S.Vivier and P.Brochet, “Optimization with Experimental Design: an Approach Using Taguchi’s Methodology and Finite Element Simulations,” IEEE Tran. Mag., vol. 37, 2001, pp. 3530 - 3533.
R. Hooke and T.A. Jeeves, “‘Direct search’ solution of numerical and statistical problems,” Journal of the Association for Computing Machinery, 8, 1961, pp. 212 - 229.
S. Alfonzetti, E. Dilettoso, F. Dughiero and N. Salerno, “Stochastic Optimization of an Induction Heating System by means of DBCI,” COMPEL, vol$119, n. 2-3-4, 2000, pp. 569 - 575.
G. Aiello, and S. Alfonzetti, “Finite Element Computation of Axisymmetric Eddy Currents in an Infinite Domain,” COMPEL, vol$119, n. 2-3-4, 2000, pp. 167 - 172.
F. Yates, “The design and analysis of factorial experiments,” Imperial Bureau of Soil Science Bulletin, 35, Hafner Publishing Company, 1937.
G. Aiello, S. Alfonzetti, G. Borzì, and N. Salerno, “An overview of the ELFIN code for finite element research in electrical engineering,” Proceedings Electrosoft’99, Seville, Spain, May 17–19, 1999.
J.J. Filliben, and A. Heckert, “DATAPLOT Interactive Graphics & Data Analysis Language,” Comp. & Appl. Math. Lab., Nat. Inst. of Standards & Technology, http://www.itl.nist.gov/div898/software/dataplotl.
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© 2003 Springer Science+Business Media Dordrecht
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Alfonzetti, S., Dilettoso, E., Salerno, N. (2003). Application of Screening Analysis to the Optimization of an Electromagnetic Induction Heating Device. In: Rudnicki, M., Wiak, S. (eds) Optimization and Inverse Problems in Electromagnetism. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2494-4_21
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DOI: https://doi.org/10.1007/978-94-017-2494-4_21
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6375-5
Online ISBN: 978-94-017-2494-4
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