Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19573
Title: Design optimization of magnetic gears using mesh adjustable finite-element algorithm for improved torque
Authors: Niu, S 
Chen, N
Ho, SL 
Fu, WN 
Keywords: Finite-element method (FEM)
Magnetic gear (MG)
Mesh generation
Optimization
Particle swarm optimization (PSO)
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2012, v. 48, no. 11, 6332867, p. 4156-4159 How to cite?
Journal: IEEE transactions on magnetics 
Abstract: Magnetic gears (MGs) are devices which operate through the interaction of magnetic fields produced by multipole magnets to transmit torque with high efficiency. Compared with mechanical gears, it requires no moving contact for the force transmission, hence there are no mechanical fatigue and no mechanical loss and less acoustic noise. There is no need for lubrication and hence MG requires minimal maintenance. However, the heavy use of permanent magnetic (PM) materials leads to a high production cost. In this paper, a novel mesh adjustable finite-element algorithm is proposed to optimize the magnetic gear dimensions in order to maximize the torque output for a given amount of PMs. With the proposed mesh adjustable finite-element algorithm, the coordinates of mesh nodes are moved according to dimensional changes, without compromising the mesh quality. The merit is that no re-mesh is required during the process of optimization, which can significantly reduce the computing time while retaining the robustness of the algorithm. By combining the proposed approach with particle swarm optimization (PSO) algorithm, a reliable convergence to the finding of global optimum is achieved. This proposed method is applied to optimize the dimensions of a coaxial magnetic gear with surface mounted PMs. Optimal results confirm the validity and effectiveness of the proposed algorithm.
URI: http://hdl.handle.net/10397/19573
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2012.2201920
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

15
Last Week
0
Last month
0
Citations as of Aug 17, 2017

WEB OF SCIENCETM
Citations

11
Last Week
0
Last month
0
Citations as of Aug 15, 2017

Page view(s)

53
Last Week
2
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.