Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 54-72 |
| Seitenumfang | 19 |
| Fachzeitschrift | International Journal of Microstructure and Materials Properties |
| Jahrgang | 13 |
| Ausgabenummer | 1-2 |
| Publikationsstatus | Veröffentlicht - 24 Juli 2018 |
Abstract
The work contains the results of the researches carried out by the authors during past years in the field of multiple-criteria optimisation of induction heaters’ design based on numerical coupled electromagnetic and temperature fields’ analysis. The main goal of the studies is the application of different optimisation methods and numerical finite element method (FEM) codes to solve the multi-criteria optimisation problems formulated mathematically in terms of the typical optimisation criteria: maximum temperature uniformity, minimum heating time, maximum energy efficiency and minimum scale formation. Standard genetic algorithm, non-dominated sorting genetic algorithm NSGA-II, migration NSGA algorithm, and alternance method of the optimal control theory are applied as effective optimisation tools in practically oriented applications. The developed optimisation procedures are planned to be used for solving the wide range of real-life problems of the optimal design and control of different induction heating devices and systems.
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in: International Journal of Microstructure and Materials Properties, Jahrgang 13, Nr. 1-2, 24.07.2018, S. 54-72.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Three-criteria numerical optimisation as a base for designing induction mass heating
AU - Pleshivtseva, Yu
AU - Rapoport, E.
AU - Nacke, B.
AU - Nikanorov, A.
AU - Di Barba, P.
AU - Sieni, E.
AU - Forzan, M.
AU - Lupi, S.
N1 - Funding information: This research was partially supported by the Ministry of Education and Science of the Russian Federation (project part of government contracts, Project ?10.3260.2017/4.6).
PY - 2018/7/24
Y1 - 2018/7/24
N2 - The work contains the results of the researches carried out by the authors during past years in the field of multiple-criteria optimisation of induction heaters’ design based on numerical coupled electromagnetic and temperature fields’ analysis. The main goal of the studies is the application of different optimisation methods and numerical finite element method (FEM) codes to solve the multi-criteria optimisation problems formulated mathematically in terms of the typical optimisation criteria: maximum temperature uniformity, minimum heating time, maximum energy efficiency and minimum scale formation. Standard genetic algorithm, non-dominated sorting genetic algorithm NSGA-II, migration NSGA algorithm, and alternance method of the optimal control theory are applied as effective optimisation tools in practically oriented applications. The developed optimisation procedures are planned to be used for solving the wide range of real-life problems of the optimal design and control of different induction heating devices and systems.
AB - The work contains the results of the researches carried out by the authors during past years in the field of multiple-criteria optimisation of induction heaters’ design based on numerical coupled electromagnetic and temperature fields’ analysis. The main goal of the studies is the application of different optimisation methods and numerical finite element method (FEM) codes to solve the multi-criteria optimisation problems formulated mathematically in terms of the typical optimisation criteria: maximum temperature uniformity, minimum heating time, maximum energy efficiency and minimum scale formation. Standard genetic algorithm, non-dominated sorting genetic algorithm NSGA-II, migration NSGA algorithm, and alternance method of the optimal control theory are applied as effective optimisation tools in practically oriented applications. The developed optimisation procedures are planned to be used for solving the wide range of real-life problems of the optimal design and control of different induction heating devices and systems.
KW - Alternance method
KW - Design
KW - Genetic algorithm
KW - Induction heating
KW - MNSGA-II
KW - Multi-objective optimisation
KW - NSGA-II
KW - Optimal control theory
UR - http://www.scopus.com/inward/record.url?scp=85050654978&partnerID=8YFLogxK
U2 - 10.1504/IJMMP.2018.093286
DO - 10.1504/IJMMP.2018.093286
M3 - Article
AN - SCOPUS:85050654978
VL - 13
SP - 54
EP - 72
JO - International Journal of Microstructure and Materials Properties
JF - International Journal of Microstructure and Materials Properties
SN - 1741-8410
IS - 1-2
ER -