DOIONLINE 
DOIONLINE Publish In |
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE)-IJIEEE |
 Journal Home Volume Issue |
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Issue |
Volume-4,Issue-9 ( Sep, 2016 ) | |||||||||
Paper Title |
A Taguchi-Based Grey Relational and Principal Component Analysis For Optimal Design of Thrust Density and Temperature of Trapezoid Ironless Linear Motor | |||||||||
Author Name |
Wen-Jong Chen, Cai-Xuan Lin, Jia-Ru Lin | |||||||||
Affilition |
Department of Industrial Education and Technology, National Changhua University of Education, Taiwan, R.O.C. | |||||||||
Pages |
128-132 | |||||||||
Abstract |
In this study, Taguchi based on the grey relational analysis (GRA) was integrated with principal component analysis for a trapezoidal ironless linear motor to determine the significant design parameters, including the magnet baseline, coil-winding width, coil-winding height and coil diameter, for the maximal thrust density and minimal temperature. Compared with the original motor, the thrust density and temperature were increased by 14.10% and 9.24%, respectively. The simulation results show that the proposed approach effectively improve the performance of ironless linear motors, and it could be used as a critical reference for designing the linear motors. Index Terms- Grey relational analysis, Taguchi method, Trapezoidal ironless linear motor. | |||||||||
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