Broadband leading edge interaction noise prediction using simulated grid turbulence

Petrikat, Andreas, Karve, Ravish and Angland, David (2018) Broadband leading edge interaction noise prediction using simulated grid turbulence. In 2018 AIAA/CEAS Aeroacoustics Conference. American Institute of Aeronautics and Astronautics.. (doi:10.2514/6.2018-3286).

Abstract

The use of an inlet geometry-based turbulence creation method for large eddy simulations (LES) on unstructured meshes is investigated for the purpose of simulating broadband leading edge noise of an infinite airfoil ingesting turbulence. By comparing to analytical models and experimental data, it is shown that realistic turbulence is created with partial capture of the inertial subrange. The turbulent flow is shown to be homogeneous and isotropic to within similar variations that have been reported in experiments. Far field noise is calculated by sampling the surface pressure on the airfoil and computing the radiation to the farfield with a Ffowcs-Williams and Hawkings solver. Comparisons are made with predictions of leading edge interaction noise using the analytical model of Amiet. It is found that noise in the dominant low to mid frequency ranges are well predicted, including the effects of compressibility on the farfield noise.

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