Title: Multi-objective optimisation of induction heaters design based on numerical coupled field analysis

Authors: Yuliya Pleshivtseva; Paolo Di Barba; Edgar Rapoport; Bernard Nacke; Alexander Nikanorov; Sergio Lupi; Elisabetta Sieni; Michele Forzan

Addresses: Department of Heat-and-Power Engineering, Samara State Technical University, Molodogvardeyskaya Str., 244, Samara 443100, Russia ' Department of Electrical, Computer and Biomedical Engineering, University of Pavia, via Ferrata 5, Pavia 27100, Italy ' Department of Automatics and Information Technologies, Samara State Technical University, Molodogvardeyskaya Str., 244, Samara 443100, Russia ' Institute of Electrotechnology, Leibniz Universität Hannover, Wilhelm-Busch-Str. 4, Hannover D-30167, Germany ' Institute of Electrotechnology, Leibniz Universität Hannover, Wilhelm-Busch-Str. 4, Hannover D-30167, Germany ' Department of Industrial Engineering, University of Padua, via Gradenigo, 6/A, Padua 35131, Italy ' Department of Industrial Engineering, University of Padua, via Gradenigo, 6/A, Padua 35131, Italy ' Department of Industrial Engineering, University of Padua, via Gradenigo, 6/A, Padua 35131, Italy

Abstract: The main goal of the researches is the application of different optimisation methods and numerical techniques to multi-objective optimisation of design of industrial induction heating installations. The multi-objective optimisation problem is mathematically formulated in terms of the most important optimisation criteria, e.g., temperature uniformity and energy efficiency. Non-dominated sorting genetic algorithm and alternance method of optimal control theory are applied as effective tools for the practice-oriented problems solutions based on nonlinear coupled electromagnetic and temperature field analysis. Optimisation procedures are tested and investigated for induction heating of a graphite disc and an aluminium cylindrical billet. The developed optimisation procedures are planned to be applied to wide range of real-life industrial problems of optimal design and control of electromagnetic devices and systems.

Keywords: multi-objective optimisation; electromagnetic devices; induction heating; Pareto optimality theory; non-sorted genetic algorithms; NSGA-II; alternance method; optimal control; induction heater design; numerical coupled field analysis; temperature uniformity; energy efficiency; graphite disks; aluminium cylindrical billets.

DOI: 10.1504/IJMMP.2014.067318

International Journal of Microstructure and Materials Properties, 2014 Vol.9 No.6, pp.532 - 551

Published online: 04 Feb 2015 *

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