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

authored by: Yuliya Pleshivtseva, Paolo Di Barba, Edgar Rapoport, Bernard Nacke, Alexander Nikanorov, Sergio Lupi, Elisabetta Sieni, Michele Forzan
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.
Organisation(s): Institute of Electrothermic Process Engineering
External Organisation(s): Samara State Technical University
University of Pavia
University of Padova
Type: Article
Journal: International Journal of Microstructure and Materials Properties
Volume: 9
Pages: 532-551
No. of pages: 20
ISSN: 1741-8410
Publication date: 2014
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: General Materials Science
Sustainable Development Goals: SDG 7 - Affordable and Clean Energy
Electronic version(s): https://doi.org/10.1504/IJMMP.2014.067318 (Access: Closed)