Predicting Cooling Fan Noise by Numerical Conditions Using Compressible Large Eddy Simulation
* Presenting author
This paper describes predicting motor fan noise using direct computational aeroacoustics (CAA) methods. In the direct CAA method, both turbulent flow and acoustic phenomenon are solved at the same time with compressible Navier-Stokes equation. Large Eddy Simulation is applied for solving turbulent flow. One of the issues for using direct CAA method is obtaining the numerical simulation accuracy for 10 times difference between fluid velocity and sound velocity. High order numerical schemes are applied to obtain high accuracy solutions. The purpose of this study is developing simulation technology for using in the low noise product development. Therefore, in this study, we investigated the accuracy effect of numerical simulation conditions (e.g., numerical schemes, time integral discretization, and computational grid size). And, to verify our direct CAA model, pressure fluctuation of fluid measurement and sound pressure level measurement were carried out with the experimental structure. It was found our proposal numerical simulation model can apply to the product development stage.