Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 532-551 |
| Seitenumfang | 20 |
| Fachzeitschrift | International Journal of Microstructure and Materials Properties |
| Jahrgang | 9 |
| Ausgabenummer | 6 |
| Publikationsstatus | Veröffentlicht - 2014 |
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in: International Journal of Microstructure and Materials Properties, Jahrgang 9, Nr. 6, 2014, S. 532-551.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Multi-objective optimisation of induction heaters design based on numerical coupled field analysis
AU - Pleshivtseva, Yuliya
AU - Di Barba, Paolo
AU - Rapoport, Edgar
AU - Nacke, Bernard
AU - Nikanorov, Alexander
AU - Lupi, Sergio
AU - Sieni, Elisabetta
AU - Forzan, Michele
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Alternance method
KW - Design
KW - Electromagnetic device
KW - Induction heating
KW - Multi-objective optimisation
KW - Non-sorted genetic algorithm NSGA-II
KW - Optimal control theory
KW - Pareto optimality theory
UR - http://www.scopus.com/inward/record.url?scp=84922548496&partnerID=8YFLogxK
U2 - 10.1504/IJMMP.2014.067318
DO - 10.1504/IJMMP.2014.067318
M3 - Article
AN - SCOPUS:84922548496
VL - 9
SP - 532
EP - 551
JO - International Journal of Microstructure and Materials Properties
JF - International Journal of Microstructure and Materials Properties
SN - 1741-8410
IS - 6
ER -