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

verfasst von: 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.
Organisationseinheit(en): Institut für Elektroprozesstechnik
Externe Organisation(en): Samara State Technical University
Università degli Studi di Pavia
Universität Padua
Typ: Artikel
Journal: International Journal of Microstructure and Materials Properties
Band: 9
Seiten: 532-551
Anzahl der Seiten: 20
ISSN: 1741-8410
Publikationsdatum: 2014
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Werkstoffwissenschaften (insg.)
Ziele für nachhaltige Entwicklung: SDG 7 – Erschwingliche und saubere Energie
Elektronische Version(en): https://doi.org/10.1504/IJMMP.2014.067318 (Zugang: Geschlossen)

BibTeX

@article{cb571d1bc3c3495ab045462579c20bef,
title = "Multi-objective optimisation of induction heaters design based on numerical coupled field analysis",
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 = "Alternance method, Design, Electromagnetic device, Induction heating, Multi-objective optimisation, Non-sorted genetic algorithm NSGA-II, Optimal control theory, Pareto optimality theory",
author = "Yuliya Pleshivtseva and {Di Barba}, Paolo and Edgar Rapoport and Bernard Nacke and Alexander Nikanorov and Sergio Lupi and Elisabetta Sieni and Michele Forzan",
year = "2014",
doi = "10.1504/IJMMP.2014.067318",
language = "English",
volume = "9",
pages = "532--551",
journal = "International Journal of Microstructure and Materials Properties",
issn = "1741-8410",
publisher = "Inderscience Enterprises Ltd.",
number = "6",
}