Fan-shape optimisation using CFD and genetic algorithms for increasing the efficiency of electric motors
by Noel Leon-Rovira, Eduardo Uresti, Waldo Arcos
International Journal of Computer Applications in Technology (IJCAT), Vol. 30, No. 1/2, 2007

Abstract: The electric motor efficiency represents the effectiveness with which the motor converts electrical energy into mechanical energy. As the energy losses are converted into heat, which is dissipated by the motor frame aided by internal and external fans, a better cooling system adds up to better efficiency. In recent years, improvements in motor efficiency have been achieved but at higher costs. By using Genetic Algorithms (GAs), changes are introduced to the fan shape looking for a better aerodynamic performance. The evaluation of the achieved fan efficiency with the modified shapes is performed with Computational Fluid Dynamics (CFD) simulation software.

Online publication date: Fri, 09-Nov-2007

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