Title :
Shape optimization of ferromagnetic pole of a superconducting MRI magnet with niching genetic algorithm
Author :
Yi Li;Qiu Liang Wang;Yin Ming Dai;Hui Wang
Author_Institution :
Key Laboratory of Applied Superconductivity, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China
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.
Keywords :
"Magnetic resonance imaging","Genetic algorithms","Optimization","Superconducting magnets","Lorentz covariance","Nonhomogeneous media","Superconducting coils"
Conference_Titel :
Applied Superconductivity and Electromagnetic Devices (ASEMD), 2015 IEEE International Conference on
Print_ISBN :
978-1-4673-8106-2
DOI :
10.1109/ASEMD.2015.7453641
