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A Novel Dynamic Hysteresis Model for Grain-Oriented Electrical Steels Based on Magnetic Domain Theory

Zhang, Zhi; Hamzehbahmani, Hamed; Gaskell, Philip H.

A Novel Dynamic Hysteresis Model for Grain-Oriented Electrical Steels Based on Magnetic Domain Theory Thumbnail


Authors

Zhi Zhang zhi.zhang@durham.ac.uk
Research Assistant / Research Associate



Abstract

A novel approach is adopted to model the hysteresis phenomenon of grain-oriented electrical steels (GOESs), by incorporating a variation of the domain patterns associated with ferromagnetic materials during magnetization and demagnetization. The ensuing model treats the anisotropic and isotropic components separately, together with the coupling effect of the excitation field. Its ability to replicate experimentally obtained dynamic hysteresis loops (DHLs) for Epstein size laminations of GO 3% SiFe electrical steels, for different magnetizing frequencies and peak flux densities, and facilitate the straightforward evaluation of the energy loss in GOESs is demonstrated for the case of controlled sinusoidal magnetic induction. Close agreement is found to exist between the predicted energy loss and corresponding bulk measurements, with the maximum difference being less than 2%.

Citation

Zhang, Z., Hamzehbahmani, H., & Gaskell, P. H. (2022). A Novel Dynamic Hysteresis Model for Grain-Oriented Electrical Steels Based on Magnetic Domain Theory. IEEE Transactions on Magnetics, 58(1), 1-9. https://doi.org/10.1109/tmag.2021.3128765

Journal Article Type Article
Acceptance Date Nov 13, 2021
Online Publication Date Nov 16, 2021
Publication Date 2022-01
Deposit Date Nov 26, 2021
Publicly Available Date Mar 17, 2022
Journal IEEE Transactions on Magnetics
Print ISSN 0018-9464
Electronic ISSN 1941-0069
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 58
Issue 1
Article Number 7300109
Pages 1-9
DOI https://doi.org/10.1109/tmag.2021.3128765
Public URL https://durham-repository.worktribe.com/output/1220899
Related Public URLs https://ieeexplore.ieee.org/document/9617614

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Accepted Journal Article (2.8 Mb)
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