Abstract
In this paper, three different techniques are combined to provide a complete physics-based semi-anytical model for leading-edge noise prediction. The model is based on the classical theory of Amiet. Here, the two-dimensional turbulence spectrum is computed by a model based on the rapid distortion theory and the aeroacoustic transfer function is numerically evaluated by the boundary element method to account for the effects of the general airfoil profiles. The influence of spanwise inhomogeneities is also considered through the application of the inverse strip method. An assessment of each individual technique on the radiated noise is provided. This research shows that the turbulence distortion occurring at the leadingedge plays a significant role on the predicted noise levels. Compared with the von Kármán model for isotropic turbulence, the rapid distortion theory predicts reduced noise levels at high-frequencies and increased levels at low-frequencies. This paper also shows that the spanwise-varying inflow, here represented by a linearly varying condition, contributes to raising the acoustic radiation when compared to the similar uniform inflow case. By considering modifications on the airfoil leading-edge radius and on the airfoil overall thickness, we show that the leading-edge bluntness plays a key role on reducing gust-airfoil interaction noise. This observation is more pronounced for microphones positioned downstream of the airfoil and for high frequencies.
Original language | English |
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Title of host publication | 2018 AIAA/CEAS Aeroacoustics Conference |
Place of Publication | Reston, Virginia |
Publisher | American Institute of Aeronautics and Astronautics |
ISBN (Electronic) | 978-1-62410-560-9 |
DOIs | |
Publication status | Published - 24 Jun 2018 |
Event | 24th AIAA/CEAS Aeroacoustics Conference 2018 - Atlanta, United States Duration: 25 Jun 2018 → 29 Jun 2018 Conference number: 24 |
Conference
Conference | 24th AIAA/CEAS Aeroacoustics Conference 2018 |
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Abbreviated title | Aeroacoustics 2018 |
Country/Territory | United States |
City | Atlanta |
Period | 25/06/18 → 29/06/18 |
Keywords
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