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Shape optimization of ferromagnetic pole of a superconducting MRI magnet with niching genetic algorithm

  • Yi Li
  • , Qiu Liang Wang
  • , Yin Ming Dai
  • , Hui Wang
  • CAS - Institute of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The magnetic field inhomogeneity and the Lorentz force of a superconducting magnet for magnetic resonance image are optimized by changing the shape of the ferromagnetic poles. The two objectives are calculated by a commercial software Opera3D-TOSCA based on the finite element method. The genetic algorithm improved by adding niching and adaptive algorithms is developed on the computation platform MATLAB and is applied to the optimization problem. Twice calculations with progressive discretization are performed and satisfactory results with low magnetic field inhomogeneity and very small Lorenz force are obtained.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages420-421
Number of pages2
ISBN (Electronic)9781467381079
DOIs
StatePublished - 15 Apr 2016
EventIEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2015 - Shanghai, China
Duration: 20 Nov 201523 Nov 2015

Publication series

Name2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2015 - Proceedings

Conference

ConferenceIEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2015
Country/TerritoryChina
CityShanghai
Period20/11/1523/11/15

Keywords

  • MATLAB
  • MRI
  • niching genetic algorithm
  • Opera3D
  • superconducting magnet

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