Design of Bi-2223/Ag coil based on genetic algorithm and finite element method

Kohei Higashikawa, Taketsune Nakamura, Tsutomu Hoshino, Itsuya Muta

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


We designed Bi-2223/Ag coils based on genetic algorithm and finite element method. The winding geometry as well as the operating current of the coil was optimized for the minimization of its loss, on condition that its operating temperature, stored energy and total length of the conductor were constant. The loss was calculated with the use of the analytical expressions that could quantitatively describe the current transport characteristics in high T c superconductor including their magnetic anisotropy and temperature dependence. Some optimized results were shown and discussed in this paper.

Original languageEnglish
Pages (from-to)1895-1898
Number of pages4
JournalIEEE Transactions on Applied Superconductivity
Issue number2 PART II
Publication statusPublished - Jun 2005
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Design of Bi-2223/Ag coil based on genetic algorithm and finite element method'. Together they form a unique fingerprint.

Cite this