In the paper, a new solution to a benchmark problem of inverse induction heating is presented. The problem refers to an industrial device for the controlled heating of a graphite disk. In particular, the solution of a bi-objective optimization problem characterized by a multi-physics field analysis is investigated. The solution strategy of the bi-objective optimization problem is based on a modified multi-objective genetic algorithm in the class of Non-dominated Sorting Genetic Algorithm. The expected goal of the optimization process is to improve temperature uniformity in the disk as well as electrical efficiency of the induction device. The proposed algorithm exploits the migration concept to vary the population genetic characteristics during optimization process, with the final aim of improving the approximation of the Pareto front.

Improved solution to a multi-objective benchmark problem of inverse induction heating

Forzan Michele;Sieni Elisabetta
2015-01-01

Abstract

In the paper, a new solution to a benchmark problem of inverse induction heating is presented. The problem refers to an industrial device for the controlled heating of a graphite disk. In particular, the solution of a bi-objective optimization problem characterized by a multi-physics field analysis is investigated. The solution strategy of the bi-objective optimization problem is based on a modified multi-objective genetic algorithm in the class of Non-dominated Sorting Genetic Algorithm. The expected goal of the optimization process is to improve temperature uniformity in the disk as well as electrical efficiency of the induction device. The proposed algorithm exploits the migration concept to vary the population genetic characteristics during optimization process, with the final aim of improving the approximation of the Pareto front.
2015
http://www.iospress.nl/
Induction heating; magnetic and thermal problem; multi-objective optimization; multi-physics benchmark; Pareto front; Electrical and Electronic Engineering; Mechanical Engineering; Mechanics of Materials; Condensed Matter Physics; Electronic; Optical and Magnetic Materials
Di Barba, Paolo; Dughiero, Fabrizio; Forzan, Michele; Sieni, Elisabetta
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2077262
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