Title of article :
Optimization of Fan Geometry for Urban Train Traction Motors using Coupled Numerical Electromagnetic and Thermal Analysis
Author/Authors :
Zargaran, Amin Research and Development Department of TAAM LOCOMOTIVE ARYA Co - Qazvin Science and Technology Park , Soltanpour, Mehdi Department of Mechanical Eng. - Imam Khomeini International University, Qazvin, Iran , Rajabpour, Ali Department of Mechanical Eng. - Imam Khomeini International University, Qazvin, Iran
Abstract :
One of the most important parameters in designing electrical motors is
heat generation by the motor and the way it is dissipated. Temperature
rising reduce efficiency and reliability of traction motors and leads to
failure. In this paper, an urban train traction motor in a 3D computational
fluid dynamics (CFD) simulation has been investigated. Maxwell
software for electromagnetic simulation and ANSYS Fluent for thermal
simulation have been used. In the discussed motor, air is blown directly
from atmosphere into the motor by embedded inlets and discharged to the
atmosphere after passing through the motor components and fan. Heat
generation rate has been derived from electromagnetic simulation results.
At first step, the validity of the simulation results is evaluated by
comparing the temperature distribution of motor using reference fan with
the thermal requirements of the working class. Afterward, for two
different blade geometries and different number of blades are. In the
following, the optimized fan geometry is obtained by comparing the fan
performance in each case.
Keywords :
Heat generation , Train traction motor , Computational fluid dynamics
Journal title :
Astroparticle Physics