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Assessment of the Contribution of Surface Roughness to Airframe Noise
Author(s) -
Yu Liu,
Ann P. Dowling
Publication year - 2007
Publication title -
aiaa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 158
eISSN - 1081-0102
pISSN - 0001-1452
DOI - 10.2514/1.25217
Subject(s) - boundary layer , surface roughness , surface finish , mach number , trailing edge , noise (video) , sound pressure , acoustics , jet noise , materials science , turbulence , optics , roughness length , mechanics , physics , meteorology , wind speed , composite material , image (mathematics) , artificial intelligence , computer science , wind profile power law
The generation of sound by turbulent boundary-layer flow at low Mach number over a rough wall is investigated by applying a theoretical model that describes the scattering of the turbulence near field into sound by roughness elements. Attention is focused on the numerical method to approximately quantify the absolute level of far-field radiated roughness noise. Models for the source statistics are obtained by scaling smooth-wall data by the increased skin friction velocity and boundary-layer thickness for a rough surface. Numerical integration is performed to determine the roughness noise, and it reproduces the spectral characteristics of the available empirical formula and experimental data. Experiments are conducted to measure the radiated sound from two rough plates in an open jet. The measured noise spectra of the rough plates are above that of a smooth plate in 1–2.5 kHz frequency and exhibit reasonable agreement with the predicted level. Estimates of the roughness noise for a Boeing 757 sized aircraft wing with idealized levels of surface roughness show that in the high-frequency region the sound radiated from surface roughness may exceed that from the trailing edge, and higher overall sound pressure levels are observed for the roughness noise. The trailing edge noise is also enhanced by surface roughness somewhat. A parametric study indicates that roughness height and roughness density significantly affect the roughness noise with roughness height having the dominant effect. The roughness noise directivity varies with different levels of surface roughness

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