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Application of SST-Based SLA-DDES Formulation to Turbomachinery Flows

  • Guoping XiaEmail author
  • Zifei Yin
  • Gorazd Medic
Conference paper
Part of the Notes on Numerical Fluid Mechanics and Multidisciplinary Design book series (NNFM, volume 143)

Abstract

In turbomachinery CFD simulations, Reynolds-Averaged Navier-Stokes (RANS) based approaches tend to under-predict turbulent mixing, which is of particular importance in the endwall region. Detached Eddy Simulation (DES), solving Reynolds-averaged equations near the wall and partially resolving turbulent content elsewhere, bypasses the difficulties in statistic modeling. Previous work using Delayed-DES (DDES) in a linear compressor cascade [6] showed improved loss profile prediction owing to better representation of flow structures. The observation was that certain grid refinement near separated shear layer is necessary for resolving unsteadiness and further more, to reveal a bimodal behavior of the separation. Recent development in DES, the Shear-Layer-Adapted (SLA) modification [5], is designed to accelerate the growth of resolved turbulence downstream of the RANS-to-LES interface. In the current work, the impact of SLA modification on the DES simulation of linear compressor cascade flow is investigated. We incorporated the SLA modification into the SST-DDES [7] model and quantified the benefit of it in turbomachinery applications.

References

  1. 1.
    Spalart, P.R. (1997) Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach. In: Proceedings of First AFOSR International Conference on DNS/LES. Greyden PressGoogle Scholar
  2. 2.
    Spalart, P.R., Deck, S., Shur, M.L., Squires, K.D., Strelets, M.K., Travin, A.: A new version of detached-eddy simulation, resistant to ambiguous grid densities. Theor. Comput. Fluid Dyn. 20(3), 181 (2006)CrossRefGoogle Scholar
  3. 3.
    Shur, M.L., Spalart, P.R., Strelets, M.K., Travin, A.K.: A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities. Int. J. Heat Fluid Flow 29(6), 1638–1649 (2008)CrossRefGoogle Scholar
  4. 4.
    Reddy, K., Ryon, J., Durbin, P.: A DDES model with a smagorinsky-type eddy viscosity formulation and log-layer mismatch correction. Int. J. Heat Fluid Flow 50, 103–113 (2014)CrossRefGoogle Scholar
  5. 5.
    Shur, M.L., Spalart, P.R., Strelets, M.K., Travin, A.K.: An enhanced version of DES with rapid transition from RANS to LES in separated flows. Flow Turbul. Combust. 95(4), 709–737 (2015)CrossRefGoogle Scholar
  6. 6.
    Xia, G., Medic, G., Praisner, T.J.: Hybrid RANS/LES simulation of corner stall in a linear compressor cascade. J. Turbomach. 140(8), 081004 (2018)CrossRefGoogle Scholar
  7. 7.
    Gritskevich, M.S., Garbaruk, A.V., Schütze, J., Menter, F.R.: Development of DDES and IDDES formulations for the k-\(\omega \) shear stress transport model. Flow Turbul. Combust. 88(3), 431–449 (2012)Google Scholar
  8. 8.
    Menter, F.R.: Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32(8), 1598–1605 (1994)CrossRefGoogle Scholar
  9. 9.
    Jasak, H., Jemcov, A., Tukovic, Z., et al.: Openfoam: a c++ library for complex physics simulations. In: International Workshop on Coupled Methods in Numerical Dynamics, vol. 1000, pp. 1–20, IUC Dubrovnik, Croatia (2007)Google Scholar
  10. 10.
    Vogel, J., Eaton, J.: Combined heat transfer and fluid dynamic measurements downstream of a backward-facing step. J. Heat Transf. 107(4), 922–929 (1985)CrossRefGoogle Scholar
  11. 11.
    Ni, R.-H.: A multiple grid scheme for solving the Euler equations. In: 5th Computational Fluid Dynamics Conference, p. 1025 (1981)Google Scholar
  12. 12.
    Wei, M., Xavier, O., Lipeng, L., Francis, L.: Intermittent corner separation in a linear compressor cascade. Exp. Fluids 54(6), 1546 (2013)CrossRefGoogle Scholar
  13. 13.
    Gao, F.: Advanced numerical simulation of corner separation in a linear compressor cascade. Ph.D. thesis, Ecole Centrale de Lyon, 2014Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.United Technologies Research CenterEast HartfordUSA
  2. 2.United Technologies Research Center (China)ShanghaiChina

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