Skip to main content

2022 | OriginalPaper | Buchkapitel

Numerical Investigation of Riblets on Rod-Airfoil Interaction Noise

verfasst von : Chenghao Yang, Heying Feng, Yehui Peng, Nvzi Bao

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

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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.
Zurück zum Zitat 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)
Metadaten
Titel
Numerical Investigation of Riblets on Rod-Airfoil Interaction Noise
verfasst von
Chenghao Yang
Heying Feng
Yehui Peng
Nvzi Bao
Copyright-Jahr
2022
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-7423-5_7

    Premium Partner