Design of permanent magnet with high magnetic induction intensity and high uniformity based on Halbach array

Guoyu Hei; Zheng Xu; Bin Zhang; Yongjie Qu

doi:10.1117/12.2640521

19 October 2022 Design of permanent magnet with high magnetic induction intensity and high uniformity based on Halbach array

Guoyu Hei, Zheng Xu, Bin Zhang, Yongjie Qu

Author Affiliations +

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122942O (2022) https://doi.org/10.1117/12.2640521
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

Nuclear magnetic resonance (NMR) is a nondestructive testing technology, which is mainly used in the aging state detection of composite insulators in the field of electrical engineering. To detect the aging state of composite insulator by NMR technology, the most important is to establish a static magnetic field with high magnetic induction intensity and high uniformity, which will help to greatly improve the signal-to-noise ratio of detection signal and obtain more accurate aging state information. At present, the establishment method of static magnetic field is mostly based on permanent magnet, but the static magnetic field with high magnetic induction intensity and high uniformity requires a large permanent magnet sensor, which does not have portability, so the detection scene is limited. In order to solve the problem of limited detection scene, a permanent magnet structure based on Halbach array is studied in this paper. The space volume is small and easy to carry. The magnetic induction intensity can reach 1.2T and the magnetic field uniformity can reach less than 10ppm.

Citation Download Citation

Guoyu Hei, Zheng Xu, Bin Zhang, and Yongjie Qu "Design of permanent magnet with high magnetic induction intensity and high uniformity based on Halbach array", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122942O (19 October 2022); https://doi.org/10.1117/12.2640521

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