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Efficient Prediction of Leading Edge Noise with a Synthetic Turbulence Approach

  • Beckett Zhou
  • , Maks Groom
  • , Qiqi Wang

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publication28th AIAA/CEAS Aeroacoustics Conference, 2022
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
DOIs
Publication statusPublished - 13 Jun 2022

Publication series

NameA collection of technical papers (AIAA/CEAS Aeroacoustics Conference
ISSN (Print)1946-7826
Name AIAA/CEAS Aeroacoustics Conference
ISSN (Print)1946-7826

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