18th AIAA/CEAS Aeroacoustics Conference (33rd AIAA Aeroacoustics Conference) 2012
DOI: 10.2514/6.2012-2102
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A generic computational study of broadband high-lift noise generation for simplified slat and flap problems

Abstract: In previous work a RANS based simulation technique for the simulation of broadband slat noise was established. The computational approach is based on acoustic perturbation equations forced by stochastic sound sources to simulate sound generation and radiation in space and time. Good agreement was found between predicted and measured slat noise spectra and for trailing edge noise generated at a NACA 0012 airfoil. In this work the simulation approach is applied to generic high-lift noise problems defined in the … Show more

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Cited by 4 publications
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“…The hybrid approach takes the time-averaged flow data and turbulence statistics from steady a Reynolds Averaged Navier-Stokes (RANS) simulation to model synthetic vortex sound sources and predict the aeroacoustic sound generation and radiation in space and time by means of Code for Computational Aeroacoustics (CAA). The CFD/CAA was applied in the past to different airframe [18][19][20][21][22] and jet noise [23][24][25][26][27][28] problems and was successfully used in the BANC III benchmark workshop 29,30 for the validation of NACA0012 trailing edge noise against measurements.…”
Section: Introductionmentioning
confidence: 99%
“…The hybrid approach takes the time-averaged flow data and turbulence statistics from steady a Reynolds Averaged Navier-Stokes (RANS) simulation to model synthetic vortex sound sources and predict the aeroacoustic sound generation and radiation in space and time by means of Code for Computational Aeroacoustics (CAA). The CFD/CAA was applied in the past to different airframe [18][19][20][21][22] and jet noise [23][24][25][26][27][28] problems and was successfully used in the BANC III benchmark workshop 29,30 for the validation of NACA0012 trailing edge noise against measurements.…”
Section: Introductionmentioning
confidence: 99%