Conceptual Design of HTS Bitter Magnet Above 25T Using a Fast Magnetic Field Computational Method

被引:4
|
作者
Zhu, Lingfeng [1 ]
Wang, Yinshun [1 ]
Liu, Wei [1 ]
Liu, Yating [2 ]
Nie, Yang [1 ]
Pi, Wei [2 ]
机构
[1] North China Elect Power Univ, Key Lab New Energy Renewable Power Syst, Beijing 102206, Peoples R China
[2] North China Elect Power IJnivers, Key Lab HV & EMC Beijing Elect, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
Annular plates; convolution neural network; fast-computational method; high magnetic field; superconducting bitter magnet;
D O I
10.1109/TASC.2021.3068370
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A high temperature superconducting (HTS) Bitter magnet consisting of REBCO annular plates with slits is proposed. The REBCO annular plates are soldered to each other at the edge of the slits. The resistance of the soldering joint, which can help control current distribution, is experimentally proven to be small enough to avoid producing excessive loss. Furthermore, a fast-computational method based on a convolution neural network (CNN) is used to calculate the magnetic field and stress distribution of the proposed magnet. With the help of this algorithm, a specific structure of a 25THTS Bittermagnet is designed and distribution of the magnetic field and stress are numerically computed. Finally, the feasibility of the structure of the magnet and the efficiency of the algorithm are experimentally verified on a model magnet.
引用
收藏
页数:6
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