Skip to main content
SpringerLink
Log in
Book cover

High Performance Computing in Science and Engineering ´16 pp 499–510Cite as

Scale Resolving Flow Simulations of a Francis Turbine Using Highly Parallel CFD Simulations

  • Conference paper
  • First Online:

  • 1725 Accesses

Abstract

In this paper, transient flow simulations of a Francis turbine in part load conditions are presented. The dominating flow phenomenon, the vortex rope, leads to a very complex flow field, especially in the draft tube of the turbine. As the resolution of turbulence is important, the Scale Adaptive Simulation (SAS) approach is used. The mesh size of the entire Francis turbine is up to 300 million mesh nodes. The commercial CFD code Ansys CFX version 17.0 is used, which performs up to a few thousands of cores for this kind of application.

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

References

  1. ANSYS Inc.: ANSYS CFX Version 17.0 (2016)

    Google Scholar 

  2. Barth, T.J., Jesperson, D.C.: The design and application of upwind schemes on unstructured meshes. AIAA Paper 89-0366 (1989)

    Google Scholar 

  3. Egorov Y., Menter, F.R.: Development and application of SST-SAS turbulence model in the DESIDER project. In: Peng, S.-H., Haase, W. (eds.) Advances in Hybrid RANS-LES Modelling. Notes on Numerical Fluid Mechanics and Multidisciplinary Design: Papers contributed to the 2007 Symposium of Hybrid RANS-LES Methods, Corfu, vol. 97, pp. 261–270. Springer, Berlin/Heidelberg (2008)

    Chapter  Google Scholar 

  4. Egorov Y., Menter, F.R., Cokljat, D.: The scale-adaptive simulation method for unsteady turbulent flow predictions. Part 2: application to aerodynamic flows. J. Flow Turbul. Combust. 85 (1), 139–165 (2010)

    Google Scholar 

  5. Jasak, H., Weller, H.G., Gosman, A.D.: High resolution NVD differencing scheme for arbitrarily unstructured meshes. Int. J. Numer. Methods Fluids 31, 431–449 (1999)

    Article  MATH  Google Scholar 

  6. Jeong, J., Hussain, F.: On the identification of a vortex. J. Fluid Mech. 285, 69–94 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  7. Jost, D., Skerlavaj, A., Lipej, A.: Numerical flow simulation and efficiency prediction for axial turbines by advanced turbulence models. In: 26th IAHR Symposium on Hydraulic Machinery and Systems, Beijing (2012)

    Google Scholar 

  8. Karypis, G., Kumar, V.: MeTiS: unstrucured graph partitioning and sparse matrix ordering system. University of Minnesota (1995)

    Google Scholar 

  9. Krappel, T., Ruprecht, A., Riedelbauch, S.: Turbulence resolving flow simulations of a francis turbine with a commercial CFD code. In: High Performance Computing in Science and Engineering’15. Springer, Berlin (2016)

    Google Scholar 

  10. Menter, F.R.: Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J. 32 (8), 269–289 (1994)

    Article  Google Scholar 

  11. Menter, F.R., Egorov Y.: The scale-adaptive simulation method for unsteady turbulent flow predictions. Part 1: theory and model Description. J. Flow Turbul. Combust. 85 (1), 113–138 (2010)

    Google Scholar 

  12. Menter, F.R., Schtze, J., Gritskevich M.: Global vs. zonal approaches in hybrid RANS-LES turbulence modelling. In: Fu, S., Haase, W., Peng, S.-H., Schwamborn, D. (eds.) Progress in Hybrid RANS-LES Modelling: Papers Contributed to the 4th Symposium on Hybrid RANS-LES Methods, Beijing. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 117, pp. 15–28. Springer, Berlin/Heidelberg (2012)

    Chapter  Google Scholar 

  13. Menter, F.R.: Best practice: scale-resolving simulations in ANSYS CFD version 1.0 ANSYS Germany GmbH, April 2012

    Google Scholar 

  14. Nicoud, F., Ducros F.: Subgrid-scale stress modelling based on the square of the velocity gradient tensor. Flow Turbul. Combust. 62, 183–200 (1999)

    Article  MATH  Google Scholar 

  15. Raw, M.J.: Robustness of coupled algebraic multigrid for the Navier-Stokes equations. In: AIAA 96-0297, 34th Aerospace and Sciences Meeting & Exhibit, Reno (1996)

    Google Scholar 

  16. Pacot, O., Kato, C., Avellan, F.: High-resolution LES of the rotating stall in a reduced scale model pump-turbine. In: 27th IAHR Symposium on Hydraulic Machinery and Systems, Montreal (2014)

    Google Scholar 

  17. Strelets, M.: Detached eddy simulation of massively separated flows. In: AIAA Paper 2001-0879, 39th Aerospace Sciences Meeting and Exhibit, Reno (2001)

    Google Scholar 

Download references

Acknowledgements

The authors gratefully acknowledge the High Performance Computing Center Stuttgart (HLRS) for providing computational resources. The research leading to the results presented in this paper is part of a common research project of the Institute of Fluid Mechanics and Hydraulic Machinery, University of Stuttgart, Voith Hydro Holding GmbH & Co. KG and Ansys Germany GmbH.

Author information

Authors and Affiliations

  1. Institute of Fluid Mechanics and Hydraulic Machinery, Pfaffenwaldring 10, 70550, Stuttgart, Germany

    Timo Krappel & Stefan Riedelbauch

Authors
  1. Timo Krappel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefan Riedelbauch
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Timo Krappel .

Editor information

Editors and Affiliations

  1. Zentrum für Informationsdienste und Hochleistungsrechnen (ZIH), Technische Universität Dresden, Dresden, Germany

    Wolfgang E. Nagel

  2. Abteilung für Angewandte Mathematik, Universität Freiburg, Freiburg, Germany

    Dietmar H. Kröner

  3. Höchstleistungsrechenzentrum Stuttgart (HLRS), Universität Stuttgart, Stuttgart, Germany

    Michael M. Resch

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Krappel, T., Riedelbauch, S. (2016). Scale Resolving Flow Simulations of a Francis Turbine Using Highly Parallel CFD Simulations. In: Nagel, W.E., Kröner, D.H., Resch, M.M. (eds) High Performance Computing in Science and Engineering ´16. Springer, Cham. https://doi.org/10.1007/978-3-319-47066-5_34

Download citation

Publish with us

Policies and ethics

Search

Navigation