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

authored by

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.

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

13

Pages

54-72

No. of pages

19

ISSN

1741-8410

Publication date

24.07.2018

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.2018.093286 (Access: Closed)