Skip to main content
Log in

Numerical analysis of unstable turbulent flows in a centrifugal pump impeller considering the curvature and rotation effect

  • Original Article
  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

In this study, a modified partially averaged Navier-Stokes model (MSST PANS) is proposed by treating a modified shear stress transport (SST) k-ω model as the parent turbulence model. The unstable turbulent flow in a centrifugal pump that considers the curvature and rotation effect is investigated as the test case to evaluate the performance of the MSST PANS model and analyze the flow instability in a centrifugal pump. The SST k-ω and the standard k-ε PANS models are also evaluated for comparison. Results show that the MSST PANS model exhibits excellent performance and delivers the most satisfactory prediction results of the positive slope of the characteristic curve, time-averaged internal flows, and velocity profiles. The energy loss based on the energy balance equations is adopted to provide an explanation of the internal flow evolutions in pumps. The findings also indicate energy loss distribution is associated with the positive slope phenomenon. The high-velocity gradient flows at the entrance of the blade-to-blade passage and the reverse flows at the impeller exit are the main reasons for the high turbulent kinetic energy in the impeller. The MSST PANS model demonstrates promising applications in the field of hydraulic machinery, where unstable turbulent flows are prevalent.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

P k :

Production term

γ1, γ2 :

Turbulent model constants, γ1 = 5/9, γ2 = 0.44

β1, β2 :

Turbulent model constants, β1 = 0.075, β2 = 0.0828

σk1, σk2 :

Turbulent model constants, σk1 = 1.1765, σk2 = 1.0

σω1, σω2 :

Turbulent model constants, σω1 = 2.0, σω2 = 1.168

β :

Turbulent model constant, β = 0.09

C 2 :

Turbulent model constant, C2 = 1.9

C 1 :

Turbulent model parameter

μt*:

Modified eddy viscosity

C μ :

Modified eddy viscosity coefficient

f k :

Unresolved-to-total ratio of kinetic energy

f ε :

Unresolved-to-total ratio of dissipation

f ω :

Unresolved-to-total ratio of turbulent frequency

k, k u :

Total and unresolved turbulent kinetic energy, respectively

ε, ε u :

Total and unresolved turbulent dissipation, respectively

ω, ω u :

Total and unresolved turbulent frequency, respectively

Λ:

Taylor turbulent length scale

Δ:

Local grid size

H :

Pump head (m)

H d :

Pump head under the design point condition (m)

bep:

Best efficiency point

T n :

Impeller rotation period

P :

Power

P in :

Input power

P e :

Effective power

P l :

Power loss

δx, δy, δz :

Length, width, and height of each mesh cell, respectively

ψ :

Head coefficient

ϕ :

Flow coefficient

References

  1. W. X. Ye, R. F. Huang, Z. W. Jiang, X. J. Li, Z. C. Zhu and X. W. Luo, Instability analysis under part-load conditions in centrifugal pump, Journal of Mechanical Science and Technology, 33(1) (2019) 269–278.

    Article  Google Scholar 

  2. L. Tan, B. S. Zhu, S. L. Cao, Y. C. Wang and B. B Wang, Numerical simulation of unsteady cavitation flow in a centrifugal pump at off-design conditions, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 228(1) (2014) 1994–2006.

    Google Scholar 

  3. J. D. Paduano, A. H. Epstein, L. Valavani, J. P. Longley, E. M. Greitzer and G. R. Guenette, Active control of rotating stall in a low speed axial compressor, Journal of Turbomachinery, 115(1) (1991) 48–56.

    Article  Google Scholar 

  4. F. E. McCaughan, Bifurcation analysis of axial flow compressor stability, SIAM Journal on Applied Mathematics, 50(5) (1990) 1232–1253.

    Article  MathSciNet  MATH  Google Scholar 

  5. C. Widmer, T. Staubli and N. Ledergerber, Unstable characteristics and rotating stall in turbine brake operation of pumpturbines, Journal of Fluids Engineering, 133(4) (2011) 41101.

    Article  Google Scholar 

  6. A. Yu, Z. P. Zou, D. Q. Zhou, Y. Zheng and X. W. Luo, Investigation of the correlation mechanism between cavitation rope behavior and pressure fluctuations in a hydraulic turbine, Renewable Energy, 147(1) (2020) 1199–1208.

    Article  Google Scholar 

  7. P. Yan, N. Chu, D. Z. Wu, L. L. Cao, S. Yang and P. Wu, Computational fluid dynamics- based pump redesign to improve efficiency and decrease unsteady radial forces, Journal of Fluids Engineering, 139(1) (2017) 011101.

    Article  Google Scholar 

  8. A. Fadai-Ghotbi, C. Friess, R. Manceau and J. Borée, A seamless hybrid RANS-LES model based on transport equations for the subgrid stresses and elliptic blending, Physics of Fluids, 22(5) (2010) 1–19.

    Article  MATH  Google Scholar 

  9. M. I. Yaras and A. D. Grosvenor, Evaluation of one- and two-equation low-Re turbulence models. Part I — Axisymmetric separating and swirling flows, International Journal for Numer Methods in Fluids, 42(12) (2003) 1293–1319.

    Article  MATH  Google Scholar 

  10. A. Travin, M. Shur, M. Strelets and P. Spalart, Detached-eddy simulations past a circular cylinder, Flow, Turbulence and Combustion, 63(1) (2000) 293–313.

    Article  MATH  Google Scholar 

  11. C. G. Speziale, Turbulence modeling for time-dependent RANS and VLES: A review, AIAA Journal, 36(2) (1998) 173–184.

    Article  MATH  Google Scholar 

  12. S. S. Girimaji, Partially-averaged navier-stokes model for turbulence: A reynolds-averaged navier-stokes to direct numerical simulation bridging method, Journal of Applied Mechanics, 73(3) (2006) 413–421.

    Article  MATH  Google Scholar 

  13. X. W. Luo, R. F. Huang and B. Ji, Transient cavitating vortical flows around a hydrofoil using k-ω partially averaged Navier-Stokes model, Modern Physics Letters B, 30(1) (2016) 1550262.

    Article  MathSciNet  Google Scholar 

  14. P. Ranjan and A. Dewan, Partially averaged Navier Stokes simulation of turbulent heat transfer from a square cylinder, International Journal of Heat and Mass Transfer, 89 (2015) 251–266.

    Article  Google Scholar 

  15. E. Jeong and S. S. Girimaji, Partially averaged Navier-Stokes (PANS) method for turbulence simulations—flow past a square cylinder, Journal of Fluids Engineering, 132(12) (2010) 121203.

    Article  Google Scholar 

  16. R. F. Huang, X. W. Luo, B. Ji and Q. F. Ji, Turbulent flows over a backward facing step simulated using a modified partially averaged Navier-Stokes model, Journal of Fluids Engineering, 139(4) (2017) 044501.

    Article  Google Scholar 

  17. A. Frendi, A. Tosh and S. Girimaji, Flow past a backward-facing step: Comparison of PANS, DES and URANS results with experiments, International Journal of Computational Methods in Engineering Science and Mechanics, 8(1) (2007) 19–32.

    MATH  Google Scholar 

  18. S. Lakshmipathy and S. S. Girimaji, Partially averaged Navier-Stokes method for turbulent flows: k-ω model implementation, 44th AIAA Aerospace Sciences Meeting, Reno, NV; United States (2006).

  19. D. H. Luo, Numerical simulation of turbulent flow over a backward facing step using partially averaged Navier-Stokes method, Journal of Mechanical Science and Technology, 33(5) (2019) 2137–2148.

    Article  Google Scholar 

  20. F. R. Menter, Two-equation eddy-viscosity turbulence models for engineering applications, AIAA Journal, 32(8) (1994) 1598–1605.

    Article  Google Scholar 

  21. A. Hellsten and S. Wallin, Explicit algebraic Reynolds stress and non-linear eddy-viscosity models, International Journal of Computational Fluid Dynamics, 23(4) (2009) 349–361.

    Article  MathSciNet  MATH  Google Scholar 

  22. S. Wallin and A. V. Johansson, Modelling streamline curvature effects in explicit algebraic Reynolds stress turbulence models, International Journal of Heat and Fluid Flow, 23(5) (2002) 721–730.

    Article  Google Scholar 

  23. T. B. Gatski and C. G. Speziale, On explicit algebraic stress models for complex turbulent flows, Journal of Fluid Mechanics, 254 (1993) 59–78.

    Article  MathSciNet  MATH  Google Scholar 

  24. X. Q. Wen, Y. W. Liu, L. Fang and L. P. Lu, Improving the capability of k-ω SST turbulence model for predicting stall characteristics of airfoil, Journal of Beijing University of Aeronautics and Astronautics, 39(8) (2013) 1127–1132.

    Google Scholar 

  25. P. R. Spalart and M. Shur, On the sensitization of turbulence models to rotation and curvature, Aerospace Science and Technology, 1(5) (1997) 297–302.

    Article  MATH  Google Scholar 

  26. W. D. York, D. K. Walters and J. H. Leylek, A simple and robust linear eddy-viscosity formulation for curved and rotating flows, International Journal of Numerical Methods for Heat and Fluid Flow, 19(6) (2009) 745–776.

    Article  Google Scholar 

  27. X. H. Wang and S. Thangam, Development and application of an anisotropic two-equation model for flows with swirl and curvature, Journal of Applied Mechanics, 73(3) (2006) 397–404.

    Article  MATH  Google Scholar 

  28. W. X. Ye, X. W. Luo, R. F. Huang, Z. W. Jiang, X. J. Li and Z. C. Zhu, Investigation of flow instability characteristics in a low specific speed centrifugal pump using a modified partially averaged Navier-Stokes model, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 233(7) (2019) 834–848.

    Google Scholar 

  29. M. H. Shu, Research on turbulence models of numerical simulation for inner flow in centrifugal pumps, Master Thesis, Jiangsu University (2011).

  30. D. C. Wilcox, Reassessment of the scale-determining equation for advanced turbulence models, AIAA Journal, 26(11) (1988) 1299–1310.

    Article  MathSciNet  MATH  Google Scholar 

  31. T. H. Shih, W. W. Liou, A. Shabbir, Z. G. Yang and J. Zhu, A new k-ε eddy viscosity model for high reynolds number turbulent flows, Computers and Fluids, 24(3) (1995) 227–238.

    Article  MATH  Google Scholar 

  32. G. C. Lu, Z. G. Zuo, D. M. Liu and S. H. Liu, Energy balance and local unsteady loss analysis of flows in a low specific speed model pump-turbine in the positive slope region on the pump performance curve, Energies, 12(10) (2019) 1829.

    Article  Google Scholar 

  33. X. J. Li, B. Chen, X. W. Luo and Z. C. Zhu, Effects of flow pattern on hydraulic performance and energy conversion characterisation in a centrifugal pump, Renewable Energy, 151 (2020) 475–487.

    Article  Google Scholar 

Download references

Acknowledgments

This work was financially supported by the National Key Research and Development Program of China (2018YFB0 606101), National Natural Science Foundation of China (No. 51536008), Beijing Natural Science Foundation (3182014), and Tsinghua National Laboratory for Information Science and Technology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xianwu Luo.

Additional information

Recommended by Editor Yang Na

Weixiang Ye obtained his B.S. from North China Electric Power University in 2017. He is currently a Ph.D. candidate at the Department of Energy and Power Engineering, Tsinghua University, Beijing, China. His main area of research is the flow instability in pumps and turbulence modelling.

Xianwu Luo obtained his B.S. and M.S. from Tsinghua University, Beijing, China in 1991 and 1997, respectively, and his Ph.D. in Mechanical Engineering from Kyushu Institute of Technology, Japan, in 2004. He is currently a Professor at the Department of Energy and Power Engineering, Tsinghua University, Beijing, China.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ye, W., Zhu, Z., Qian, Z. et al. Numerical analysis of unstable turbulent flows in a centrifugal pump impeller considering the curvature and rotation effect. J Mech Sci Technol 34, 2869–2881 (2020). https://doi.org/10.1007/s12206-020-0619-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-020-0619-0

Keywords

Navigation