A Computational Tool for Fan Broadband Noise Prediction

This SBIR project proposes to develop a computational tool for fan broadband noise prediction based on a large-eddy-simulation (LES) approach. The proposed approach combines the advantages of those existing high-fidelity methods in literature for simulation of NASA 22-in fan noise source diagnostic test (SDT), i.e., the LES with the WALE SGS model for turbulence simulation and modeling, and the Cartesian mesh approach for rotor-stator coupling, and the consideration of the whole rotor and stator annulus in simulation. Much more accurate spatial discretization schemes will also be used for improving the prediction of turbulent eddies and acoustic waves. As a feasibility study, the Phase I outcome will demonstrate the feasibility of the proposed LES approach for accurate simulation of NASA 22-in fan noise source diagnostic test. Therefore, it is meaningful to fully develop, demonstrate, and validate this software tool in Phase II.