The Utilization of Genetic Algorithm on High Temperature Superconducting Magnet Design

Abstract

In high temperature superconducting (HTS) magnet design, it well known that the critical current (Ic) is sensitive to the direction of the local magnetic field. The perpendicular magnetic field component to the face of tape have a larger effect on the Icof a HTS tape than the parallel component. Thus in HTS magnet design, the magnetic field distribution is the first considering factor. This work presents a HTS magnet design using genetic algorithm to obtain the object. When the length of the tape is certain, the results show that the process gives the optimal number of the double pancake and the inner radius of the magnet.