Improved halbach magnets by particle swarm optimization for mobile nuclear magnetic resonance systems

Author

Yiyuan Cheng ; Ling Xia ; Wei He ; Minhua Zhu ; Feng Liu

Author_Institution

Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou, China

fYear

2013

fDate

23-25 July 2013

Firstpage

798

Lastpage

802

Abstract

The Halbach magnets have been widely used in engineering especially for the mobile NMR (Nuclear Magnetic Resonance) systems. The homogeneity of the magnetic field generated by the magnet affects the imaging quality of NMR. In this paper, we have proposed two improved 2D constructions of the Halbach magnet, which can improve the magnetic field uniformity greatly. The improved constructions of Halbach magnet are optimized by the modified PSO (particle swarm optimization) algorithm and the simulations are based on the 2D Finite Element Method (FEM) analysis.

Keywords

finite element analysis; nuclear magnetic resonance; particle swarm optimisation; permanent magnets; 2D finite element method; FEM; Halbach magnets; PSO; imaging quality; magnetic field uniformity; mobile NMR; mobile nuclear magnetic resonance systems; particle swarm optimization; Magnetic domains; Magnetic resonance imaging; Magnetic separation; Nuclear magnetic resonance; Optimization; Superconducting magnets; 2D FEM; NMR; halbach; homogeneous magnetic field; modified PSO algorithm; permanet magnet;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2013 Ninth International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/ICNC.2013.6818084

Filename

6818084