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2022 | OriginalPaper | Chapter

Numerical Investigation of Riblets on Rod-Airfoil Interaction Noise

Authors : Chenghao Yang, Heying Feng, Yehui Peng, Nvzi Bao

Published in: Proceedings of the 5th China Aeronautical Science and Technology Conference

Publisher: Springer Singapore

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Abstract

Turbulence interaction noise is widely present in the aviation field. In order to adapt the increasingly stringent airworthiness noise standards, new noise reduction measures must be explored to break through the noise reduction bottleneck. The large eddy simulation and FW-H equation were used to study the influences of three riblets on the rod-airfoil interaction noise. The riblet reduces the wall shear stress on the surface of the rod, delays the flow separation of the boundary layer, and breaks the large-scale vortex structure after the rod has fallen off into small-scale vortex structures, thereby reducing RMS velocity and spanwise vorticity intensity of the wake. The stability of the downstream airfoil and the surrounding flow field is improved, and RMS pressure fluctuation is reduced, thus the interaction noise of the rod-airfoil is decreased. D15 can drop the tonal noise of rod by 21.35 dB and airfoil noise by 10.57 dB.

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Literature
1.
go back to reference Casalino, D., Jacob, M., Roger, M.: Prediction of rod-airfoil interaction noise using the Ffowcs Williams-Hawkings analogy. AIAA J. 41(2), 182–191 (2003)CrossRef Casalino, D., Jacob, M., Roger, M.: Prediction of rod-airfoil interaction noise using the Ffowcs Williams-Hawkings analogy. AIAA J. 41(2), 182–191 (2003)CrossRef
2.
go back to reference Geyer, T.F., Wasala, S.H., Sarradj, E.: Experimental study of airfoil leading edge combs for turbulence interaction noise reduction. Acoustics 2(2), 207–223 (2020)CrossRef Geyer, T.F., Wasala, S.H., Sarradj, E.: Experimental study of airfoil leading edge combs for turbulence interaction noise reduction. Acoustics 2(2), 207–223 (2020)CrossRef
3.
go back to reference Chen, W., Qiao, W., Tong, F., et al.: Numerical investigation of wavy leading edges on rod–airfoil interaction noise. AIAA J. 56(7), 2553–2567 (2018)CrossRef Chen, W., Qiao, W., Tong, F., et al.: Numerical investigation of wavy leading edges on rod–airfoil interaction noise. AIAA J. 56(7), 2553–2567 (2018)CrossRef
4.
go back to reference Zamponi, R., Satcunanathan, S., Moreau, S., et al.: On the role of turbulence distortion on leading-edge noise reduction by means of porosity. J. Sound Vib. 485, 115561 (2020)CrossRef Zamponi, R., Satcunanathan, S., Moreau, S., et al.: On the role of turbulence distortion on leading-edge noise reduction by means of porosity. J. Sound Vib. 485, 115561 (2020)CrossRef
5.
go back to reference Li, Y., Chen, Z., Wang, X.: Flow/noise control of a rod–airfoil configuration using “natural rod-base blowing”: numerical experiments. Eur. J. Mech.-B/Fluids 83, 99–113 (2020)MathSciNetCrossRef Li, Y., Chen, Z., Wang, X.: Flow/noise control of a rod–airfoil configuration using “natural rod-base blowing”: numerical experiments. Eur. J. Mech.-B/Fluids 83, 99–113 (2020)MathSciNetCrossRef
6.
go back to reference Abbasi, S., Souri, M.: Reducing aerodynamic noise in a rod-airfoil using suction and blowing control method. Int. J. Appl. Mech. 12(04), 2050036 (2020)CrossRef Abbasi, S., Souri, M.: Reducing aerodynamic noise in a rod-airfoil using suction and blowing control method. Int. J. Appl. Mech. 12(04), 2050036 (2020)CrossRef
7.
go back to reference Ran, W., Zare, A., Jovanović, M.R.: Model-based design of riblets for turbulent drag reduction. J. Fluid Mech. 906, A7 (2021)MathSciNetCrossRef Ran, W., Zare, A., Jovanović, M.R.: Model-based design of riblets for turbulent drag reduction. J. Fluid Mech. 906, A7 (2021)MathSciNetCrossRef
8.
go back to reference Hutcheson, F.V., Brooks, T.F.: Noise radiation from single and multiple rod configurations. Int. J. Aeroacoust. 11(3–4), 291–333 (2012)CrossRef Hutcheson, F.V., Brooks, T.F.: Noise radiation from single and multiple rod configurations. Int. J. Aeroacoust. 11(3–4), 291–333 (2012)CrossRef
9.
go back to reference Jacob, M.C., Boudet, J., Casalino, D., et al.: A rod-airfoil experiment as a benchmark for broadband noise modeling. Theore. Comput. Fluid Dyn. 19(3), 171–196 (2005)CrossRef Jacob, M.C., Boudet, J., Casalino, D., et al.: A rod-airfoil experiment as a benchmark for broadband noise modeling. Theore. Comput. Fluid Dyn. 19(3), 171–196 (2005)CrossRef
10.
go back to reference Perot, F., Auger, J.M., Giardi, H., et al.: Numerical prediction of the noise radiated by a cylinder. In: Hilton Head:9thAIAA/CEAS Aeroacoutics Conference (2003) Perot, F., Auger, J.M., Giardi, H., et al.: Numerical prediction of the noise radiated by a cylinder. In: Hilton Head:9thAIAA/CEAS Aeroacoutics Conference (2003)
Metadata
Title
Numerical Investigation of Riblets on Rod-Airfoil Interaction Noise
Authors
Chenghao Yang
Heying Feng
Yehui Peng
Nvzi Bao
Copyright Year
2022
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-7423-5_7

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