Three-Dimensional Numerical Characterization of High-Temperature Superconductor Bulks Subjected to Rotating Magnetic Fields

Wafa Ali Soomro, Youguang Guo, Haiyan Lu, Jianguo Zhu, Jianxun Jin and Boyang Shen
Additional contact information
Wafa Ali Soomro: Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia
Youguang Guo: Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia
Haiyan Lu: Faculty of Engineering and IT, University of Technology Sydney, Sydney, NSW 2007, Australia
Jianguo Zhu: School of Electrical and Information Engineering, University of Sydney, Sydney, NSW 2006, Australia
Jianxun Jin: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Boyang Shen: Electrical Engineering Division, University of Cambridge, Cambridge CB3 0FA, UK

Energies, 2022, vol. 15, issue 9, 1-13

Abstract: High-temperature superconductor (HTS) bulks have shown very promising potential for industrial applications due to the ability to trap much higher magnetic fields compared to traditional permanent magnets. In rotating electrical machines, the magnetic field is a combination of alternating and rotating fields. On the contrary, all studies on electromagnetic characterization of HTS presented in the literature so far have only focused on alternating AC magnetic fields and alternating AC loss due to the unavailability of robust experimental techniques and analytical models. This paper presents a numerical investigation on the characterization of HTS bulks subjected to rotating magnetic fields showing AC loss, current density distribution in three-dimensional axes, and trapped field analysis. A three-dimensional numerical model has been developed using H-formulation based on finite element analysis. An HTS cubic sample is magnetized and demagnetized with two-dimensional magnetic flux density vectors rotating in circular orientation around the XOY, XOZ, and YOZ planes.

Keywords: HTS; HTS trapped field magnets; rotating field; numerical modeling; H-formulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/9/3186/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3186/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:9:p:3186-:d:803287

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().