Abstract
The motor used to drive an axial flow fan generates heat due to internal resistance, which negatively affects performance and shortens the fan’s life span. In this study, cooling of the fan motor using the passive flow control (PFC) method was employed via the hole shape optimization of the axial fan hub. Four design parameters were selected and design points were created using an optimal space-filling design method. The Kriging model was used to construct the response surface. The optimization process using the multi-objective genetic algorithm (MOGA) was performed until the error between the candidate value and the CFD value was less than 0.1%. By comparing the candidate with the initial shape, the optimized shape generated air flow from the back to the front of the axial fan hub. The maximum temperature of the motor was reduced by 17.47 K under the same rotational speed. Conversely, the temperature was further reduced by 6.21 K when compared with the initial shape and operated at the same total pressure.
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