Three-criteria numerical optimisation as a base for designing induction mass heating

verfasst von: Yu Pleshivtseva, E. Rapoport, B. Nacke, A. Nikanorov, P. Di Barba, E. Sieni, M. Forzan, S. Lupi
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.
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: 13
Seiten: 54-72
Anzahl der Seiten: 19
ISSN: 1741-8410
Publikationsdatum: 24.07.2018
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.2018.093286 (Zugang: Geschlossen)

BibTeX

@article{52969645617f45e5aee0d5e60a2aba2f,
title = "Three-criteria numerical optimisation as a base for designing induction mass heating",
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{\textquoteright} design based on numerical coupled electromagnetic and temperature fields{\textquoteright} 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.",
keywords = "Alternance method, Design, Genetic algorithm, Induction heating, MNSGA-II, Multi-objective optimisation, NSGA-II, Optimal control theory",
author = "Yu Pleshivtseva and E. Rapoport and B. Nacke and A. Nikanorov and {Di Barba}, P. and E. Sieni and M. Forzan and S. Lupi",
note = "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).",
year = "2018",
month = jul,
day = "24",
doi = "10.1504/IJMMP.2018.093286",
language = "English",
volume = "13",
pages = "54--72",
journal = "International Journal of Microstructure and Materials Properties",
issn = "1741-8410",
publisher = "Inderscience Enterprises Ltd.",
number = "1-2",
}