Optimal design of magnetic flux concentrators in induction heating

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Original languageEnglish
Title of host publication2019 XXI International Conference Complex Systems
Subtitle of host publicationControl and Modeling Problems (CSCMP) Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages203-207
Number of pages5
ISBN (electronic)978-1-7281-6700-8
ISBN (print)978-1-7281-6701-5
Publication statusPublished - Sept 2019
Event21st International Conference "Complex Systems: Control and Modeling Problems", CSCMP 2019 - Samara, Russian Federation
Duration: 3 Sept 20196 Sept 2019

Abstract

Magnetic flux concentrators (MFCs) are widely used in induction heating systems for concentration, shielding or redistribution of the magnetic field. They provide an accurate heat pattern control and improve the performance of the entire installation. In this paper, the coupled electromagnetic-thermal model simulates the entire system, and it takes into account the hysteresis losses in magnetic flux concentrators, as well as the cooling effect of the water in the coil. Firstly, it is investigated how the geometry of the flux concentrator influences the electromagnetic efficiency and the temperature distribution. Secondly, making use of a multi-objective optimization code, the trade-off between maximum temperature in the work-piece and in the MFC is studied.

Keywords

    FEM, induction heating, magnetic flux concentrators, multi-objective optimization

ASJC Scopus subject areas

Cite this

Optimal design of magnetic flux concentrators in induction heating. / Baldan, Marco; Cetin, Mustafa; Nikanorov, Alexander et al.
2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP) Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 203-207 8976484.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Baldan, M, Cetin, M, Nikanorov, A & Nacke, B 2019, Optimal design of magnetic flux concentrators in induction heating. in 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP) Proceedings., 8976484, Institute of Electrical and Electronics Engineers Inc., pp. 203-207, 21st International Conference "Complex Systems: Control and Modeling Problems", CSCMP 2019, Samara, Russian Federation, 3 Sept 2019. https://doi.org/10.1109/CSCMP45713.2019.8976484
Baldan, M., Cetin, M., Nikanorov, A., & Nacke, B. (2019). Optimal design of magnetic flux concentrators in induction heating. In 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP) Proceedings (pp. 203-207). Article 8976484 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSCMP45713.2019.8976484
Baldan M, Cetin M, Nikanorov A, Nacke B. Optimal design of magnetic flux concentrators in induction heating. In 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP) Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 203-207. 8976484 doi: 10.1109/CSCMP45713.2019.8976484
Baldan, Marco ; Cetin, Mustafa ; Nikanorov, Alexander et al. / Optimal design of magnetic flux concentrators in induction heating. 2019 XXI International Conference Complex Systems: Control and Modeling Problems (CSCMP) Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 203-207
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abstract = "Magnetic flux concentrators (MFCs) are widely used in induction heating systems for concentration, shielding or redistribution of the magnetic field. They provide an accurate heat pattern control and improve the performance of the entire installation. In this paper, the coupled electromagnetic-thermal model simulates the entire system, and it takes into account the hysteresis losses in magnetic flux concentrators, as well as the cooling effect of the water in the coil. Firstly, it is investigated how the geometry of the flux concentrator influences the electromagnetic efficiency and the temperature distribution. Secondly, making use of a multi-objective optimization code, the trade-off between maximum temperature in the work-piece and in the MFC is studied.",
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