@inproceedings{0287aa21e0ef406d94a2d99c4a741d30,
title = "Efficient Prediction of Leading Edge Noise with a Synthetic Turbulence Approach",
abstract = "Leading edge noise is an important source of broadband noise in many engineering applications. A computationally efficient method is introduced that can predict leading edge noise generated by complex configurations in time-varying flows, including three dimensional effects. The method consists of an unsteady source-doublet panel code, modified to take a synthetic turbulent inflow. The turbulence is represented by frozen vortex particles according to the Random Vortex Particle Method introduced by Dieste (2011). The farfield noise is then computed with the Ffowcs Williams-Hawkings aeroacoustic analogy. An initial validation case is presented, comparing predicted noise for a NACA 0001 wing to Amiet's theoretical solution for a flat plate.",
author = "Beckett Zhou and Maks Groom and Qiqi Wang",
year = "2022",
month = jun,
day = "13",
doi = "10.2514/6.2022-2819",
language = "English",
series = "A collection of technical papers (AIAA/CEAS Aeroacoustics Conference",
publisher = "American Institute of Aeronautics and Astronautics Inc. (AIAA)",
booktitle = "28th AIAA/CEAS Aeroacoustics Conference, 2022",
address = "United States",
}