The Utilization of Genetic Algorithm on High Temperature Superconducting Magnet Design

Meng Song; Hao Liu; Xu Zhi Deng; Yi Zhang; Li Ren; Shi Feng Shen; Nan Nan Hu

doi:10.4028/www.scientific.net/AMR.960-961.382

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 960-961The Utilization of Genetic Algorithm on High...

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 (I_c) 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 I_c of 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.

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Periodical:

Advanced Materials Research (Volumes 960-961)

Pages:

382-385

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.960-961.382

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Online since:

June 2014

Authors:

Meng Song, Hao Liu*, Xu Zhi Deng, Yi Zhang, Li Ren, Shi Feng Shen, Nan Nan Hu

Keywords:

Genetic Algorithm (GA), HTS, Superconducting Magnets

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* - Corresponding Author

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