Numerical Studies of Turbulent Flow Influence on a Two-Element Airfoil

  • Katharina P. WawrzinekEmail author
  • Thorsten Lutz
  • Ewald Krämer
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 131)


URANS-simulations were performed to investigate the influence of a convective vortex on the DLR F15 high-lift configuration. The vortex was generated artificially by a pitching motion of a NACA 0021 airfoil, which served as a gust generator. The simulations were performed at a Reynolds number of Re = 2\(\cdot 10^6\) and a Mach number of \(Ma=0.14\) to be consistent with the experimental setup at TU Braunschweig. Firstly, the accuracy of the TAU-Code for the simulations of the DLR F15 aerodynamic phenomena was investigated without a gust generator. Two kinds of turbulence models were applied to the high lift configuration at different angles of attack. The JHh-v2 Reynolds stress model and its replacement the JHh-v3 model were compared to the Menter SST eddy viscosity model. Secondly, the pitching motion of the gust generator was activated. The results were compared to wind tunnel data. Additionally, a parameter study was performed covering a range of artificially generated vortices by varying the pitching motion of the gust generator and different angles of attack of the DLR F15 configuration.


Shear Layer Turbulence Model Main Element Pitching Motion Radial Basis Function 
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  1. 1.
    Auerswald, T., Bange, J.: A new method to generate anisotropic synthetic turbulence for LES. In: Joint Symposium of DFG FOR 1066 and DLR C\(^{2}\)A\(^{2}\)S\(^{2}\)E: Simulation of Wing and Nacelle Stall, Germany, Braunschweig. To be published. In: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Simulation of Wing and Nacelle Stall (2014)Google Scholar
  2. 2.
    Cécora, R., Radespiel, R., Jakirlic, S.: Modeling of Reynolds-stress augmentation in shear layers with strongly curved velocity profiles. In: The World Congress on Computational Mechanics, 11th World Congress on Computational Mechanics (WCCM XI), 5th European Conference on Computational Mechanics (ECCM V), 6th European Conference on Computational Fluid Dynamics (ECFD VI), Barcelona, Spain (2014)Google Scholar
  3. 3.
    Hahn, D., Scholz, P., Radespiel, R.: Vortex generation in a low speed wind tunnel and vortex interactions with a high-lift airfoil. In: 30th AIAA Applied Aerodynamics Conference, AIAA, New Orleans, Louisiana, USA (2012)Google Scholar
  4. 4.
    Heinrich, R., Reimer, L., Michler, A.: Multidisciplinary simulation of maneuvering aircraft interacting with atmospheric effects using the DLR TAU Code. RTO AVT-189 Specialists, Meeting on Assessment of Stability and Control Prediction Methods for Air and Sea Vehicles, Portsdown West, UK (2011)Google Scholar
  5. 5.
    Hounjet, M.H.L., Meijer, J.J.: Evaluation of Elastomechanical and Aerodynamic Data Transfer Methods for Non-Planar Configurations in Computational Aerolastic Analysis, pp. 10.1–10.25. ICAS-publication (1994)Google Scholar
  6. 6.
    Jakirlic, S., Hanjalic, K.: A new approach to modelling near-wall turbulence energy and stress dissipation. Journal of Fluid Mechnaics 459, 139–166 (2002)Google Scholar
  7. 7.
    Kamruzzaman, M.: Study of Turbulence Anisotropy and Its Impact on Flow Induced Noise Emission, Doctoral Thesis, University of Stuttgart (2012)Google Scholar
  8. 8.
    Kamruzzaman, M., Bekiropoulos, D., Wolf, A., Lutz, T., Krämer, E.: Rnoise: A RANS based airfoil trailing-edge noise prediction model. In: Proceedings20th AIAA/CEAS Aeroacoustics Conference (2014–3305)Google Scholar
  9. 9.
    Klein, S., Hahn, P., Scholz, P.: Radespiel R.: Vortex interactions with a high-lift airfoil in low speed wind tunnel. In: 43rd Fluid Dynamics Conference (AIAA 2013–2875), San Diego, USA (2013)Google Scholar
  10. 10.
    Menter, F.R.: Two-Equation Eddy-Viscosity Turbulence Models for Engineering Applications. AIAA Journal 32(8), 1598–1605 (1994)CrossRefGoogle Scholar
  11. 11.
    Menter, F.R., Egorov, Y.; The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 1:Theory and Model Description. Flow, Turbulence and Combustion 85, 113–138 (2010)Google Scholar
  12. 12.
    Probst, A., Radespiel, R.: Implementation and Extension of a Near-Wall Reynolds-Stress Model for Application to Aerodynamic Flows on Unstructured Meshes. AIAA Paper 2008–770 (2008)Google Scholar
  13. 13.
    Reuß, S., Probst, A., Knopp, T.: Numerical investigation of the DLR F15 two-element airfoil using a reynolds stress model. In: Third Symposium Simulation of Wing and Nacelle Stall, Germany, Braunschweig (2012)Google Scholar
  14. 14.
    Schwamborn, D., Gerhold, T., Heinrich, R.: The DLR TAU-Code: recent applications in research and industry. In: Proceedings of European Conference on Computional Fluid Dynamics ECCOMAS CDF 2006, Egmond aan Zee, The Netherland (2006)Google Scholar
  15. 15.
    Spalart, P.R.: Direct simulation of a turbulent boundary layer up to R\(_\theta \) = 1410. J. Fluid Mech 187, 61–98 (1988)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Katharina P. Wawrzinek
    • 1
    Email author
  • Thorsten Lutz
    • 1
  • Ewald Krämer
    • 1
  1. 1.Institute of Aerodynamics and Gas DynamicsUniversität StuttgartStuttgartGermany

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