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Coupled electromagnetic-thermal solution strategy for induction heating of ferromagnetic materials
Malmö University, Faculty of Technology and Society (TS), Department of Materials Science and Applied Mathematics (MTM). Division of Solid Mechanics, Lund University, P.O. Box 118, Lund SE-221 00, Sweden.ORCID iD: 0000-0001-6532-6720
Division of Solid Mechanics, Lund University, P.O. Box 118, Lund SE-221 00, Sweden.
AB SKF, Göteborg SE-415 50, Sweden.
Department of Engineering Sciences and Mathematics, Luleå University of Technology, Luleå SE-971 87, Sweden.
2022 (English)In: Applied Mathematical Modelling, ISSN 0307-904X, E-ISSN 1872-8480, Vol. 111, p. 818-835Article in journal (Refereed) Published
Abstract [en]

Induction heating is used in many industrial applications to heat electrically conductive materials. The coupled electromagnetic-thermal induction heating process is non-linear in general, and for ferromagnetic materials it becomes challenging since both the electromagnetic and the thermal responses are non-linear. As a result of the existing non-linearities, simulating the induction heating process is a challenging task. In the present work, a coupled transient electromagnetic-thermal finite element solution strategy that is appropriate for modeling induction heating of ferromagnetic materials is presented. The solution strategy is based on the isothermal staggered split approach, where the electromagnetic problem is solved for fixed temperature fields and the thermal problem for fixed heat sources obtained from the electromagnetic solution. The modeling strategy and the implementation are validated against induction heating experiments at three heating rates. The computed temperatures, that reach above the Curie temperature, agree very well with the experimental results.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 111, p. 818-835
National Category
Other Mechanical Engineering
Identifiers
URN: urn:nbn:se:mau:diva-56270DOI: 10.1016/j.apm.2022.07.009ISI: 000888873400004Scopus ID: 2-s2.0-85135391110OAI: oai:DiVA.org:mau-56270DiVA, id: diva2:1714240
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VinnovaAvailable from: 2022-11-29 Created: 2022-11-29 Last updated: 2023-09-07Bibliographically approved

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Fisk, Martin

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