Multi–objective optimisation of induction heaters design based on numerical coupled field analysis

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.