Abstract

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 25 T HTS Bitter magnet 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.

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