Skip to main content

Advertisement

Log in

Experimental investigation of turbulent coherent structures interacting with a porous airfoil

  • Research Article
  • Published:
Experiments in Fluids Aims and scope Submit manuscript

Abstract

The flow field on solid and porous airfoils subjected to turbulence shed by an upstream cylindrical rod and the corresponding far-field noise radiations are studied through particle image velocimetry (PIV) and microphone measurements, respectively. Three different Reynolds numbers based on the rod diameter are considered in a range between \({2.7\times 10^4}\) and \({5.4\times 10^4}\), and two porous airfoil models are tested to analyze the influence of the design elements of the permeable treatment. A standard proper orthogonal decomposition (POD) algorithm is employed to band filter the different length scales that characterize the turbulent flow, making it feasible to determine which turbulence scales are affected by porosity. The aeroacoustic results indicate that the porous treatment of the wing profile leads to a noise reduction at low frequencies and a noise regeneration at high frequencies due to surface roughness. The investigation on the flow field shows that the main effect of porosity is to mitigate the turbulent kinetic energy in the stagnation region, attenuating the distortion of turbulence interacting with the airfoil surface. The application of the POD algorithm indicates that this effect acts mainly on the largest scales of turbulence.

Graphic abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

References

  • Amiet R (1975) Acoustic radiation from an airfoil in a turbulent stream. J Sound Vib 41(4):407–420. https://doi.org/10.1016/S0022-460X(75)80105-2

    Article  MATH  Google Scholar 

  • Amiet R (1976) Noise due to turbulent flow past a trailing edge. J Sound Vib 47(3):387–393. https://doi.org/10.1016/0022-460X(76)90948-2

    Article  Google Scholar 

  • Bampanis G, Roger M (2020) On the turbulence-impingement noise of a naca-12 airfoil with porous inclusions. In: AIAA AVIATION 2020 FORUM, AIAA. https://doi.org/10.2514/6.2020-2577

  • Bingham H, Larsen P, Barker V (2018) Computational Fluid Dynamics. Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark

  • Brindise M, Vlachos P (2017) Proper orthogonal decomposition truncation method for data denoising and order reduction. Exp Fluids 58. https://doi.org/10.1007/s00348-017-2320-3

  • Cenedese A, Miozzi M, Querzoli G (1997) Comparison between fourier and proper orthogonal decomposition of a velocity field within a convective vessel. In: Proceedings of the 8th international conference on computational methods and experimental measurements, computational mechanics publications, 1:319–329

  • Deri E, Braza M, Cid E, Cazin S, Michaelis D, Degouet C (2014) Investigation of the three-dimensional turbulent near-wake structure past a flat plate by tomographic piv at high reynolds number. J Fluids Struct 47:21–30. https://doi.org/10.1016/j.jfluidstructs.2012.11.005

    Article  Google Scholar 

  • Devenport WJ, Staubs JK, Glegg SAL (2010) Sound radiation from real airfoils in turbulence. J Sound Vib 329(17):3470–3483. https://doi.org/10.1016/j.jsv.2010.02.022

    Article  Google Scholar 

  • Foucaut JM, Carlier J, Stanislas M (2004) PIV optimization for the study of turbulent flow using spectral analysis. Meas Sci Technol 15(6):1046–1058. https://doi.org/10.1088/0957-0233/15/6/003

    Article  Google Scholar 

  • Garcia D (2010) Robust smoothing of gridded data in one and higher dimensions with missing values. Comput Stat Data Anal 54(4):1167–1178. https://doi.org/10.1016/j.csda.2009.09.020

    Article  MathSciNet  MATH  Google Scholar 

  • Geyer T, Sarradj E, Fritzsche C (2010) Measurement of the noise generation at the trailing edge of porous airfoils. Exp Fluids 48(2):291–308. https://doi.org/10.1007/s00348-009-0739-x

    Article  Google Scholar 

  • Geyer T, Sarradj E, Giesler J, Hobracht M (2011) Experimental assessment of the noise generated at the leading edge of porous airfoils using microphone array techniques. In: 17th AIAA/CEAS aeroacoustics conference 2011 (32nd AIAA Aeroacoustics Conference). https://doi.org/10.2514/6.2011-2713

  • Geyer T, Sarradj E, Giesler J (2012) Application of a beamforming technique to the measurement of airfoil leading edge noise. Advances in Acoustics and Vibration 2012: https://doi.org/10.1155/2012/905461

  • Graftieaux L, Michard M, Grosjean N (2001) Combining piv, pod and vortex identification algorithms for the study of unsteady turbulent swirling flows. Meas Sci Technol 12:1422. https://doi.org/10.1088/0957-0233/12/9/307

    Article  Google Scholar 

  • Howe MS (1991) Surface pressures and sound produced by turbulent flow over smooth and rough walls. J Acoust Soc Am 90(2):1041–1047

    Article  Google Scholar 

  • Jacob M, Boudet J, Casalino D, Michard M (2005) A rod-airfoil experiment as a benchmark for broadband noise modeling. Theor Comput Fluid Dyn 19:171–196. https://doi.org/10.1007/s00162-004-0108-6

    Article  MATH  Google Scholar 

  • Kroeger RA, Grushka HD, Helvey TC (1972) Low speed aerodynamics for ultra-quiet flight. Tech. Rep. AD893426, Air force flight dynamics laboratory Wright-Patterson Air Force Base, Ohio

  • Liu Y, Dowling A, Shin HC (2006) Effects of surface roughness on airframe noise. In: 12th AIAA/CEAS Aeroacoustics Conference (27th AIAA Aeroacoustics Conference), American Institute of Aeronautics and Astronautics, Cambridge, MA

  • Liu Y, Dowling A, Shin HC, Quayle A (2007) Experimental study of surface roughness noise. In: 13th AIAA/CEAS Aeroacoustics Conference (28th AIAA Aeroacoustics Conference), American Institute of Aeronautics and Astronautics, Rome, Italy

  • Lumley JL (1967) The structure of inhomogeneous turbulence. In: Atmospheric turbulence and wave propagation, Nauka, Moscow, Russia

  • Melling A (1997) Tracer particles and seeding for particle image velocimetry. Meas Sci Technol 8(12):1406–1416. https://doi.org/10.1088/0957-0233/8/12/005

    Article  Google Scholar 

  • Mendez MA, Hess D, Watz BB, Buchlin JM (2020) Multiscale proper orthogonal decomposition (mpod) of tr-piv data-a case study on stationary and transient cylinder wake flows. Meas Sci Technol 31(9): https://doi.org/10.1088/1361-6501/ab82be

  • Merino-Martinez R, Rubio Carpio A, Pereira L, Herk S, Avallone F, Ragni D, Kotsonis M (2020) Aeroacoustic design and characterization of the 3d-printed, open-jet, anechoic wind tunnel of delft university of technology. Appl Acoust 170: https://doi.org/10.1016/j.apacoust.2020.107504

  • Migliore P, Oerlemans S (2004) Wind tunnel aeroacoustic tests of six airfoils for use on small wind turbines. J Sol Energy Eng 126(4):974–985

    Article  Google Scholar 

  • Moreau S, Roger M (2005) Effect of angle of attack and airfoil shape on turbulence-interaction noise. In: Collection of technical papers - 11th AIAA/CEAS aeroacoustics conference, vol 3. https://doi.org/10.2514/6.2005-2973

  • Ninni D, Mendez MA (2020) Modulo: a software for multiscale proper orthogonal decomposition of data. 2004.12123

  • Niskanen M, Groby JP, Duclos A, Dazel O, Le Roux JC, Poulain N, Huttunen T, Lähivaara T (2017) Deterministic and statistical characterization of rigid frame porous materials from impedance tube measurements. J Acoust Soc Am 142(4):2407–2418. https://doi.org/10.1121/1.5008742

    Article  Google Scholar 

  • Olsen W, Wagner J (1982) Effect of thickness on airfoil surface noise. AIAA J 20(3):437–439. https://doi.org/10.2514/3.7922

    Article  Google Scholar 

  • Paruchuri C, Joseph P, Chong T, Priddin M, Ayton L (2020) On the noise reduction mechanisms of porous aerofoil leading edges. J Sound Vib 485: https://doi.org/10.1016/j.jsv.2020.115574

  • Paterson R, Amiet R (1976) Acoustic radiation and surface pressure characteristics of an airfoil due to incident turbulence. In: 3rd AIAA/CEAS aeroacoustic conference. https://doi.org/10.2514/6.1976-571

  • Pope SB (2000) Turbulent Flows. Cambridge University Press. https://doi.org/10.1017/CBO9780511840531

  • Raiola M, Discetti S, Ianiro A (2015) On PIV random error minimization with optimal POD-based low-order reconstruction. Exp Fluids 56(56):75. https://doi.org/10.1007/s00348-015-1940-8

    Article  Google Scholar 

  • Roger M, Moreau S (2016) Airfoil turbulence-impingement noise reduction by porosity or wavy leading-edge cut: experimental investigations. In: 45th International Congress and Exposition on Noise Control Engineering, INTER-NOISE, Hamburg, Germany

  • Roger M, Schram C, Santana LD (2013) Reduction of airfoil turbulence-impingement noise by means of leading-edge serrations and/or porous material. In: 19th AIAA/CEAS aeroacoustics conference. https://doi.org/10.2514/6.2013-2108

  • Sarradj E, Geyer T (2007) Noise generation by porous airfoils. In: 13th AIAA/CEAS aeroacoustics conference (28th AIAA Aeroacoustics Conference), AIAA paper. https://doi.org/10.2514/6.2007-3719

  • Satcunanathan S, Meinke M, Schröder W (2019) Prediction of noise mitigation by porous media based on a direct-hybrid cfd/caa method. In: 25th AIAA/CEAS aeroacoustics conference. https://doi.org/10.2514/6.2019-2696

  • Satcunathan S, Zamponi R, Meinke M, Van de Wyer N, Schram C, Schröder W (2019) Validation of a model for acoustic absorption in porous media. In: 48th International congress and exhibition on noise control engineering, INTER-NOISE, Madrid

  • Scarano F, Moore P (2011) An advection-based model to increase the temporal resolution of piv time series. Exp Fluids 52:919–933. https://doi.org/10.1007/s00348-011-1158-3

    Article  Google Scholar 

  • Schrijer FFJ, Scarano F (2008) Effect of predictor-corrector filtering on the stability and spatial resolution of iterative PIV interrogation. Exp Fluids 45(5):927–941. https://doi.org/10.1007/s00348-008-0511-7

    Article  Google Scholar 

  • Sciacchitano A, Wieneke B (2016) PIV uncertainty propagation. Meas Sci Technol 27(8): https://doi.org/10.1088/0957-0233/27/8/084006

  • Tandalam A, Balachandar R, Barron R (2010) Reynolds number effects on the near-exit region of turbulent jets. J Hydraul Eng 136(9):633–641. https://doi.org/10.1061/(ASCE)HY.1943-7900.0000232

    Article  Google Scholar 

  • Teruna C, Avallone F, Casalino D, Ragni D (2020) Numerical investigation of leading edge noise reduction on a rod-airfoil configuration using porous materials and serrations. J Sound Vib 494: https://doi.org/10.1016/j.jsv.2020.115880

    Article  Google Scholar 

  • Towne A, Schmidt OT, Colonius T (2018) Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis. J Fluid Mech 847:821–867. https://doi.org/10.1017/jfm.2018.283

    Article  MathSciNet  MATH  Google Scholar 

  • Welch P (1967) The use of fast fourier transform for the estimation of power spectra: a method based on time averaging over short, modified periodograms. IEEE Trans Audio Electroacoust 15(2):70–73. https://doi.org/10.1109/TAU.1967.1161901

    Article  Google Scholar 

  • Westerweel J (1997) Fundamentals of digital particle image velocimetry. Meas Sci Technol 8(12):1379–1392. https://doi.org/10.1088/0957-0233/8/12/002

    Article  Google Scholar 

  • Westerweel J, Dabiri D, Gharib M (1997) The effect of a discrete window offset on the accuracy of cross-correlation analysis of digital PIV recordings. Exp Fluids 23(1):20–28. https://doi.org/10.1007/s003480050082

    Article  Google Scholar 

  • Wieneke B (2015) PIV uncertainty quantification from correlation statistics. Measur Sci Technol 26. https://doi.org/10.1088/0957-0233/26/7/074002

  • Zamponi R, Ragni D, Van de Wyer N, Schram C (2019) Experimental investigation of airfoil turbulence-impingement noise reduction using porous treatment. In: 25th AIAA/CEAS aeroacoustics conference, 2019, AIAA. https://doi.org/10.2514/6.2019-2649

  • Zamponi R, Satcunanathan S, Moreau S, Ragni D, Meinke M, Schröder W, Schram C (2020) On the role of turbulence distortion on leading-edge noise reduction by means of porosity. J Sound Vib 485: https://doi.org/10.1016/j.jsv.2020.115561

  • Zamponi R, Moreau S, Schram C (2021) Rapid distortion theory of turbulent flow around a porous cylinder. J Fluid Mech 915:A27. https://doi.org/10.1017/jfm.2021.8

Download references

Acknowledgements

The authors acknowledge the support of the European Commission’s Framework Program “Horizon2020,” through the Marie Skłodowska-Curie Innovative Training Networks (ITN) “SmartAnswer - Smart mitigation of flow-induced acoustic radiation and transmission” grant agreement No. 722401, to the present research project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Simone Tamaro.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tamaro, S., Zamponi, R., Ragni, D. et al. Experimental investigation of turbulent coherent structures interacting with a porous airfoil. Exp Fluids 62, 94 (2021). https://doi.org/10.1007/s00348-021-03170-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s00348-021-03170-2

Keywords

Navigation