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Evaluation of Scale-Adaptive Simulations for Transonic Cavity Flows

  • S. V. Babu
  • G. Zografakis
  • G. N. BarakosEmail author
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 130)

Abstract

This paper demonstrates the Scale-Adaptive Simulation approach for the computation of flows around transonic weapon bays idealised as rectangular cavities. Results are also compared with Detached-Eddy Simulations for the M219 cavity with and without doors. The Mach and Reynolds numbers (based on the cavity length) are 0.85 and 6.5\(\times 10^6\) respectively, with a grid size of 5.0 million for the cavity with doors-off and 5.5 million for the cavity with doors-on. Instantaneous Numerical schlieren contours made it possible to visualise the propagation of pressure waves in and around the cavities and also showed the high level of unsteadiness and breakdown of the shear layer for both doors on and doors off cases. Both cavities were seen to have similar acoustic signatures reaching maximum sound pressure levels of 170 dB. Spectral analyses revealed that the addition of the doors caused the second Rossiter mode to dominate along the length of the cavity. Scale-Adaptive Simulation results showed good agreement with experimental data for the M219 cavity at a tenth of the time required for Detached-Eddy Simulations.

Keywords

Computational Fluid Dynamics Shear Layer Cavity Flow Cavity Floor Numerical Schlieren 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The financial support of the Engineering and Physical Sciences Research Council and MBDA through Industrial CASE: 09000510 is gratefully acknowledged. The authors would also like to thank Nigel Taylor of MBDA for his support in this work. The use of the POLARIS HPC cluster of N8 and the Chadwick HPC cluster of the University of Liverpool are also gratefully acknowledged.

References

  1. 1.
    Barakos, G.N., Lawson, S.J., Steijl, R., Nayyar, P.: Numerical simulations of high speed turbulent cavity flows. Flow Turbul. Combus. 83(4), 569–585 (2009)Google Scholar
  2. 2.
    Lawson, S.J., Barakos, G.N.: Evaluation of DES for weapons bays in UCAVs. Aerosp. Sci. Technol. (2010, in Press). doi: 10.1016/j.ast.2010.04.006
  3. 3.
    Menter, F.R., Kuntz, M., Bender, R.: A scale-adaptive simulation model for turbulent flow predictions. In: 41st aerospace sciences meeting and exhibit (2003). doi: 10.2514/6.2003-767. Accessed 06–09 Jan 2003
  4. 4.
    Menter, F.R., Egorov, Y.: Revisiting the turbulent length scale equation. One hundred years of boundary layer research, Gottingen. In: IUTAM symposium (2004)Google Scholar
  5. 5.
    Menter, F.R., Egorov, Y.: A scale-adaptive simulation model using two-equation models. In: AIAA paper 20051095, Reno, NV (2005)Google Scholar
  6. 6.
    Davidson, L.: Evaluation of the SST-SAS model: channel flow, asymmetric diffuser and axi-symmetric hill, ECCOMAS CFD 2006. Egmond aan Zee, The Netherlands (2006). Accessed 5–8 Sept 2006Google Scholar
  7. 7.
    Davidson, L.: The SAS model: a turbulence model with controlled modelled dissipation. In: 20th Nordic Seminar on Computational Mechanics, Gotenburg, 20–23 Nov 2007Google Scholar
  8. 8.
    Egorov, Y., Menter, F.R.: Development and application of SST-SAS turbulence model in the DESIDER project. In: Advances in hybrid RANS-LES modelling. Notes on numerical fluid mechanics and multidisciplinary design vol. 97, p. 261 (2008)Google Scholar
  9. 9.
    Smirnov, P.E., Kapetanovic, S., Braaten, M.E., Egorov, Y., Menter, F.R.: Application of the SAS turbulence model to buoyancy driven cavity flows. In: ASME Paper GT2009-59621 (2009)Google Scholar
  10. 10.
    Menter, F.R., Schutze, J., Kurbatskii, K.A., Gritskevich, M., Garbaruk, A.: Scale-resolving simulation techniques in industrial CFD. In: 6th AIAA Theoretical Fluid Mechanics Conference, Honolulu, Hawaii, 27–30 June 2011Google Scholar
  11. 11.
    Menter, F.R., Egorov, Y.: The scale-adaptive simulation method for unsteady turbulent flow predictions. Part 1 Theory Model Descr. Flow Turbul. Combust. 85, 113 (2010)CrossRefzbMATHGoogle Scholar
  12. 12.
    Egorov, Y., Menter, F., Lechner, R., Cokljat, D.: The scale-adaptive simulation method for unsteady turbulent flow predictions. Part 2 Appl. Complex Flows Flow Turbul. Combust. 85, 139 (2010)CrossRefzbMATHGoogle Scholar
  13. 13.
    Barakos, G., Steijl, R., Badcock, K., Brocklehurst, A.: Development of CFD capability for full helicopter engineering analysis. In: 31st European Rotorcraft Forum, vol. 2005, pp. 91.1–91.15 (2005)Google Scholar
  14. 14.
    Nightingale, D.A., Ross J.A., Foster, G.W.: Cavity unsteady pressure measurements—examples from wind-tunnel tests. Technical Report Version 3, Aerodynamics and Aeromechanics Systems Group, QinetiQ (2005)Google Scholar
  15. 15.
    Spalart, P.R., Allmaras, S.R.: A one-equation turbulence model for aerodynamic flows. La Recherche Aerospatiale 1, 1–5 (1994)Google Scholar
  16. 16.
    Ross, J.A.: Cavity acoustic measurements at high speeds. Technical Report DERA/MSS/MSFC2/ TR000173, QinetiQ (2000)Google Scholar
  17. 17.
    Childers, D.G. (ed.): Modern Spectrum Analysis. Chapter 2, pp. 23148. IEEE Press, New York (1978)Google Scholar
  18. 18.
    Larcheveque, L., Sagaut, P., Le, T.-H., Comte, P.: Large-eddy simulation of a compressible flow in a three-dimensional open cavity at high Reynolds number. J. Fluid Mech. 516, 265–301 (2004)Google Scholar
  19. 19.
    Rossiter, J.E.: Wind tunnel experiments on the flow over rectangular cavities at subsonic and transonic speeds. Technical Report 64037, Royal Aircraft Establishment (1964)Google Scholar
  20. 20.
    Heller, H.H., Holmes, D.G., Covert, E.: Flow induced pressure oscillations in shallow cavities. J. Sound Vib. 18, 545 (1971)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.CFD Laboratory, School of EngineeringUniversity of LiverpoolLiverpoolUK

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