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   Modeling, Design And Optimization Of Transverse Flux Reluctance Motor   [View] 
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 Author(s)   Amir Babazadeh, Nejila Parspour, Marat Vinogradski, B. Orlik, T. Petter 
 Abstract   In this paper an optimized design for a small-scale shifted transverse flux reluctance motor using the Genetic Algorithm is presented. The goal is to minimize the motor volume or in the other words to maximize the produced torque. This paper describes a procedure in order to achieve an optimal design. Finally, analysis of the designed motor using a finite element method is performed and the results are compared to the analytical method as well. 
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Filename:A52263
Filesize:294.1 KB
 Type   Members Only 
 Date   Last modified 2006-02-16 by System