Modeling method of vibration analysis model for permanent magnet motor using finite element analysis

Author(s):  
Tetsuya Hattori ◽  
Katsuyuki Narita ◽  
Takashi Yamada ◽  
Yoshiyuki Sakashita ◽  
Kiyotaka Hanaoka ◽  
...  
2017 ◽  
Vol 53 (6) ◽  
pp. 1-4 ◽  
Author(s):  
Jin Seok Kim ◽  
Jin Hwan Lee ◽  
Jun-Young Song ◽  
Dae-Woo Kim ◽  
Yong-Jae Kim ◽  
...  

2013 ◽  
Vol 49 (5) ◽  
pp. 1945-1948 ◽  
Author(s):  
Tomohito Nakano ◽  
Yoshihiro Kawase ◽  
Tadashi Yamaguchi ◽  
Masanori Nakamura ◽  
Noriaki Nishikawa

2015 ◽  
Vol 719-720 ◽  
pp. 644-651
Author(s):  
Yu Feng Zhuang ◽  
Ze Yan Hu ◽  
Kai He

A new type of transverse flux permanent magnet motor with surface-type permanent magnet rotor structure and silicon steel stator structure was designed. According to the new structure of transverse flux permanent magnet motor, the operating principle of the motor was given. The relationship among motor output torque, torque density, magnetic poles and winding parameters are deduced, and a reasonable method of designing motor size parameters was proposed. A three-dimensional finite element model of the motor was created and the model grid division was done using ANSYS finite element analysis software. According to different winding current values and different positions of stator and rotor, the motor magnetic flux density distribution, the output torque and inductance parameter were given through calculating the three dimensional finite element models. Finite element analysis results show that the new motor structure is reasonable.


1996 ◽  
Vol 32 (3) ◽  
pp. 1537-1540 ◽  
Author(s):  
Y. Kawase ◽  
Y. Hayashi ◽  
T. Yamaguchi ◽  
Y. Ishihara ◽  
S. Kitamura

2012 ◽  
Vol 13 (1) ◽  
Author(s):  
Reza Ilka ◽  
Seyyed Asghar Gholamian

ABSTRACT: This paper develops a mathematical relationship for the purpose of designing and selecting the optimum dimensions of a brushless permanent magnet motor. The design is optimised by the use of artificial bee colony algorithm with the goal of maximizing the power density and efficiency of the motor. The required dimensions of the brushless motor are calculated based on the optimum power density and efficiency requirements. Finally, the predicted results of the optimisation are validated using a 2-D numerical program based on finite element analysis.ABSTRAK: Kajian ini mencadangkan persamaan yang menghubungkan rekabentuk dan dimensi magnet motor kekal tanpa berus. Rekabentuk optima berdasarkan algorisma koloni lebah tiruan dengan tujuan meningkatkan ketumpatan kuasa dan keberkesanan dibentangkan dalam kajian ini. Dimensi magnet motor kekal tanpa berus dihitung dengan ketumpatan kuasa optima dan keberkesanan. Akhirnya, keputusan telah disahkan dengan menggunakan program berangka 2-D berdasarkan analisis elemen finit.KEYWORDS: brushless; permanent magnet motor; power density; artificial bee colony; algorithm; finite element analysis


2021 ◽  
Vol 17 (1) ◽  
pp. 104-108
Author(s):  
Lassaad Zaaraoui ◽  
Ali Mansouri

Nowadays, artificial intelligence techniques have become widely used in electrical machines optimization and design.  In this attempt, different methods have been proposed. The present work is devoted to the electromagnetic analysis and design of an in-wheel radial flux outer rotor surface mounted permanent magnet motor (SMPM) for electric vehicle application. Two based-Swarm Particle Optimization (PSO) techniques, namely, the improved PSO multi-Objective optimization and the Speed-constrained Multi-objective PSO Optimization, are applied. The main idea of the current optimization procedure is to determine the optimal machine sizing parameters providing the maximum of efficiency with the minimum of weight. To reach this goal, two objective functions are employed the efficiency maximization and the weight minimization. A preliminary analytical model describing the magnetic and electrical machine features was presented. In order to find the optimum design, the optimization results are discussed and analyzed. In addition, the electromagnetic performances of the found optimum design were studied by means of finite element analysis (FEA) and compared with those obtained by the optimization procedure.


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