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