Advertisement

Hybrid LES/RANS of Internal Flows: A Case for More Advanced RANS

  • K. HanjalićEmail author
  • D. Borello
  • G. Delibra
  • F. Rispoli
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 130)

Abstract

The Hybrid LES/RANS is emerging as the most viable modelling option for CFD of real-scale problems, at least in the aerospace design. Entrusting LES to resolve the intrinsic unsteadiness and three-dimensionality in the flow bulk reduces the modelling empiricism to a relatively small wall-adjacent RANS region, arguably justifying the use of very simple models. We argue, however, that for internal flows in complex passages, and involving heat and mass transfer, the role of the near-wall RANS should not be underestimated. The issue is discussed by two examples of flows in turbomachinery: a pinned internal-cooling passage in a turbine blade and tip leakage and wake in a compressor cascade with stagnant and moving casing. The examples illustrate the need for a topology-free wall-integration RANS model that accounts for versatile effects of multiple bounding walls. A HLR using an elliptic relaxation (\(\upsilon ^{2}/k-f\)) RANS model coupled with a dynamic LES showed to perform well in the cases considered.

Keywords

Internal Flow RANS Model Turbulence Length Scale Labyrinth Seal Wall Heat Transfer 
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

This work was in part performed in the framework of the Lead Scientists Grant from the Government of Russian Federation (Grant No. 11.G34.31.0046, K. Hanjalić).

References

  1. 1.
    Ames, F.E., Nordquist, C.A., Dvorak, L.A.: Endwall heat transfer measurements in a staggered pin-fin array with an adiabatic pin. In: Proceedings of GT2007 ASME Turbo Expo, Montreal, Canada (2007)Google Scholar
  2. 2.
    Borello, D., Delibra, G., Hanjalić, K., Rispoli, F.: LES and hybrid LES/RANS study of flow and heat transfer around a wall-bounded short cylinder. In: Peinke, J., Oberlack, M., Talamelli, A. (eds.) Progress in Turbulence III, Springer Proceedings in Physics, vol. 131, pp. 147–150 (2008)Google Scholar
  3. 3.
    Borello, D., Delibra, G., Hanjalić, K., Rispoli, F.: Large-eddy simulations of tip leakage and secondary flows in an axial compressor cascade using a near-wall turbulence model. Proc. Inst. Mech. Engs, Pt A J. Power Energ. 223(A6 SI), 645–655 (2009)Google Scholar
  4. 4.
    Borello, D., Delibra, G., Hanjalic, K., Rispoli, F.: Hybrid LES/RANS study of turbulent flow in a linear compressor cascade with moving casing. In: Paper GT2010-23755, Proceedings of ASME Turbo Expo 2010, Glasgow, UK (2010)Google Scholar
  5. 5.
    Delibra, G., Borello, D., Hanjalić, K., Rispoli, F.: URANS of flow and endwall heat transfer in a pinned passage relevant to gas-turbine blade cooling. Int. J. Heat Fluid Flow 30, 545–560 (2009)CrossRefGoogle Scholar
  6. 6.
    Delibra, G., Hanjalić, K., Borello, D., Rispoli, F.: Vortex structures and heat transfer in a wall-bounded pin matrix: LES with a RANS wall treatment. Int. J. Heat Fluid Flow 31(5), 740–753 (2010)Google Scholar
  7. 7.
    Delibra, G., Borello, D., Hanjalić, K., Rispoli, F.: An LES insight into convective mechanism of heat transfer in a wall-bounded pin matrix. In: Paper IHTC14-23205, Proceedings of 14th International Heat Transfer Conference, Washington. D.C., USA, 8–13 Aug 2010Google Scholar
  8. 8.
    Durbin, P.: Near-wall turbulence closure modelling without ‘damping functions’. Theor. Comput. Fluid Dyn. 3, 1–13 (1991)zbMATHGoogle Scholar
  9. 9.
    Forsythe, J.R., Squires, K.D., Wurtzler, K.E., Spalart, P.R.: DES of fighter aircraft at high alpha. In: AIAA Paper, 2002–0591 (2002)Google Scholar
  10. 10.
    Fröhlich, J., Von Terzi, D.: Hybrid LES/RANS methods for ten simulation of turbulent flows. Prog. Aerospace Sci. 44, 349–377 (2008)CrossRefGoogle Scholar
  11. 11.
    Hadžiabdić, M.: LES, RANS and combined simulations of impinging flows and heat transfer. Ph.D. Thesis, Delft University of Technology, The Netherlands (2006)Google Scholar
  12. 12.
    Hanjalić, K., Popovac, M., Hadžiabdić, M.: A robust near-wall elliptic relaxation eddy viscosity turbulence model for CFD. Int. J. Heat Fluid Flow 25(6), 1047–1051 (2004)CrossRefGoogle Scholar
  13. 13.
    Hanjalić, K.: Will RANS survive LES? A view of perspectives. ASME J. Fluids Eng. 127, 831–839 (2005)CrossRefGoogle Scholar
  14. 14.
    Muthanna, C., Devenport, W.J.: Wake of a compressor cascade with tip gap, Pt 1: mean flow and turbulence structure. AIAA J. 11, 2320–2331 (2004)CrossRefGoogle Scholar
  15. 15.
    Slotnick, J., Khodadoust, A., Alonso, J., Darmofal, D., Gropp, W., Lurie, E., Mavriplis, D.: CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences, Contract NNL08AA16B, Task NNL12AD05T (2013)Google Scholar
  16. 16.
    Schmidt, S., Breuer, M.: Hybrid LES-URANS methodology for the prediction of non-equilibrium wall-bounded internal and external flows. Comp. Fluids 96, 226–252 (2014)CrossRefMathSciNetGoogle Scholar
  17. 17.
    Spalart, P.R.: Strategies for turbulence modelling and simulations. Int. J. Heat Fluid Flow 21, 252–263 (2000)CrossRefGoogle Scholar
  18. 18.
    Spalart, P.R., Jou, W.-H., Strelets, M., Allmaras, S.R.: Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach. In: Liu, C., Liu, Z. (eds.) Advances in DNS/LES. Greyden Press, OH, USA (1997)Google Scholar
  19. 19.
    Temmerman, L., Leschziner, M., Hadžiabdić, M., Hanjalić, K.: A hybrid two-layer URANS-LES approach for large-eddy simulation at high Reynolds numbers. Int. J. Heat Fluid Flow 26, 173–190 (2005)CrossRefGoogle Scholar
  20. 20.
    Wang, Y., Devenport, W.J.: Wake of a compressor cascade with tip gap. Part2: effects of endwall motion. AIAA J. 11, 2332–2340 (2004)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • K. Hanjalić
    • 1
    • 2
    Email author
  • D. Borello
    • 3
  • G. Delibra
    • 3
  • F. Rispoli
    • 3
  1. 1.Delft University of TechnologyDelftThe Netherlands
  2. 2.Novosibirsk State UniversityNovosibirskRussia
  3. 3.Sapienza University of RomeRomeItaly

Personalised recommendations