Noise reduction is considered as a challenging task in the engineering field. The main objective of this study is focused on providing an optimal new design of a cooling fan with better performance by minimizing the acoustic signature using the surface dipole acoustic power as function. The process of designing a new cooling fan with optimal performance and reduced acoustic signature can be fairly lengthy and expensive. With the use of CFD and specific tools like mesh morphing, in conjunction with state-of-the-art optimization techniques such as Simple model, a given baseline design can be optimized for performance and acoustics. The present study focuses on minimizing the acoustic signature of a given cooling fan using the surface dipole acoustic power as the objective function. The Mesh Morpher Optimizer (MMO) in ANSYS Fluent is used in conjunction with a Simplex model of the broadband acoustic modeling. The broadband model estimated the acoustic power of the surface dipole sources on the surface of the blade without the need for expensive unsteady simulations. It has been shown in the previous work that such a model can provide reliable design guidance. The new promising approach has shown a reduced dipole surface intensity of around 46% of the original value. Other acoustics sources (quadropole noise) are ignored due to the relatively low fan speed considered in this study. Considering this as first attempt study, it is believed that advanced additional studies may improve the model in changing the mesh and objective function.

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