Best Practice Advice AC6-15: Difference between revisions

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=Best Practice Advice=
=Best Practice Advice=
==Key Fluid Physics==
==Key Fluid Physics==
The runner rotation leads to fluctuations due to the interaction of runner blades with guide vanes (rotor?stator interaction). An balance of the runner or an asymmetry of the stator also leads to pulsations. These pulsations propagate to the spiral case and can interfere with each other. Rotor–stator interaction is determined by a combination of the numbers of guide vanes and runner blades. Different modes are excited depending on their ratio. The intensity of these pulsations is strongly influenced by the radial clearance between the guide vanes and the runner. The frequency of these pulsations is usually high and it is of the order of several tens of the runner rotation frequency. Karman vortices can be formed on the vanes of the stator, guide vanes or runner blades. Fluctuations associated with Karman vortices can resonate with the vane body. If the body is sufficiently flexible, its vibrations may have the opposite effect on the vortex street. The profile of the vane trailing edge has a significant impact on the intensity of these pulsations. Thus, this requires a high precision when manufacturing the trailing edge. The fluctuations associated with the Karman vortices have an even higher frequency, exceeding the runner rotation frequency by a factor of 100 or even more. However, the greatest problems are caused by low-frequency pulsations in the draft tube. There are different vibration ? generating mechanisms, some of them are associated with the precession of the vortex core (PVC). Precession of the vortex core occurs under partial load (at a discharge rate of 0.5?0.85 of the optimal value), where the flow has a considerable residual swirl.
The runner rotation leads to fluctuations due to the interaction of runner blades with guide vanes (rotor?stator interaction). An balance of the runner or an asymmetry of the stator also leads to pulsations. These pulsations propagate to the spiral case and can interfere with each other. Rotor–stator interaction is determined by a combination of the numbers of guide vanes and runner blades. Different modes are excited depending on their ratio. The intensity of these pulsations is strongly influenced by the radial clearance between the guide vanes and the runner. The frequency of these pulsations is usually high and it is of the order of several tens of the runner rotation frequency. Karman vortices can be formed on the vanes of the stator, guide vanes or runner blades. Fluctuations associated with Karman vortices can resonate with the vane body. If the body is sufficiently flexible, its vibrations may have the opposite effect on the vortex street. The profile of the vane trailing edge has a significant impact on the intensity of these pulsations. Thus, this requires a high precision when manufacturing the trailing edge. The fluctuations associated with the Karman vortices have an even higher frequency, exceeding the runner rotation frequency by a factor of 100 or even more. However, the greatest problems are caused by low-frequency pulsations in the draft tube. There are different vibration – generating mechanisms, some of them are associated with the precession of the vortex core (PVC). Precession of the vortex core occurs under partial load (at a discharge rate of 0.5–0.85 of the optimal value), where the flow has a considerable residual swirl.
 
 


==REFERENCES==
==REFERENCES==

Revision as of 12:04, 26 November 2018

Front Page

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Best Practice Advice

Vortex ropes in draft tube of a laboratory Kaplan hydro turbine at low load

Application Area 6: Turbomachinery Internal Flow

Application Challenge AC6-15

Best Practice Advice

Key Fluid Physics

The runner rotation leads to fluctuations due to the interaction of runner blades with guide vanes (rotor?stator interaction). An balance of the runner or an asymmetry of the stator also leads to pulsations. These pulsations propagate to the spiral case and can interfere with each other. Rotor–stator interaction is determined by a combination of the numbers of guide vanes and runner blades. Different modes are excited depending on their ratio. The intensity of these pulsations is strongly influenced by the radial clearance between the guide vanes and the runner. The frequency of these pulsations is usually high and it is of the order of several tens of the runner rotation frequency. Karman vortices can be formed on the vanes of the stator, guide vanes or runner blades. Fluctuations associated with Karman vortices can resonate with the vane body. If the body is sufficiently flexible, its vibrations may have the opposite effect on the vortex street. The profile of the vane trailing edge has a significant impact on the intensity of these pulsations. Thus, this requires a high precision when manufacturing the trailing edge. The fluctuations associated with the Karman vortices have an even higher frequency, exceeding the runner rotation frequency by a factor of 100 or even more. However, the greatest problems are caused by low-frequency pulsations in the draft tube. There are different vibration – generating mechanisms, some of them are associated with the precession of the vortex core (PVC). Precession of the vortex core occurs under partial load (at a discharge rate of 0.5–0.85 of the optimal value), where the flow has a considerable residual swirl.

REFERENCES

  • Aakti, B., Amstutz, O., Casartelli, E., Romanelli, G., & Mangani, L. (2015). On the performance of a high head Francis turbine at design and off-design conditions. Francis-99 Workshop 1: steady operation of Francis turbines. Journal of Physics: Conference Series, 579(1), 1-12. doi:10.1088/1742-6596/579/1/012010
  • Bosioc, A., Tanasa, C., Muntean, S., & Susan-Resiga, R. (2009). 2D LDV measurements of swirling flow in a simplified draft tube. Conference on Modelling Fluid Flow (CMFF'09), the 14th International Conference on Fluid Flow Technologies.
  • Chen, C., Nicolet, C., Yonezawa, K., Farhat, M., Avellan, F., Miyagawa, K., & Tsujimoto, Y. (2010). Experimental study and numerical simulation of cavity oscillation in a diffuser with swirling flow. International Journal of Fluid Machinery and Systems, 3(1), 80-90.
  • Kuibin P. A., Litvinov I. V., Sonin V. I., Ustimenko A. S., & Shtork S. I. (2016). Modelling inlet flow in draft tube for different regimes of hydro turbine operation. Vestnik Novosibirsk State University. Series: Physics. 11(1), 56-65.
  • Launder, B. E., Reece, G. J., & Rodi, W. (1975). Progress in the development of a Reynolds-stress turbulence closure. Journal of Fluid Mechanics, 68(3), 537-566. DOI: https://doi.org/10.1017/S0022112075001814
  • Litvinov, I. V., Shtork, S. I., Kuibin, P. A., Alekseenko, S. V., & Hanjalić, K. (2013). Experimental study and analytical reconstruction of precessing vortex in a tangential swirler. International Journal Heat and Fluid Flow, 42, 251-264.
  • Minakov, A. V., Platonov, D. V., Dekterev, A. A., Sentyabov, A. V., & Zakharov, A. V. (2015a). The numerical simulation of low frequency pressure pulsations in the high-head Francis turbine. Computers & Fluids, 111, 97-205.
  • Minakov, A. V., Platonov, D. V., Dekterev, A. A., Sentyabov, A. V., & Zakharov, A. V. (2015b). The analysis of unsteady flow structure and low frequency pressure pulsations in the high-head Francis turbines. Int. J. of Heat and Fluid Flow, 53, 183-194.
  • Minakov, A. V., Sentyabov, A. V., Platonov, D. V., Dekterev, A. A., & Gavrilov, A. A. (2015c). Numerical modeling of flow in the Francis-99 turbine with Reynolds stress model and detached eddy simulation method. Journal of Physics: Conference Series 579(1), doi:10.1088/1742-6596/579/1/012004.
  • Minakov A., Platonov D., Litvinov I., Shtork S., Hanjalić K. (2017) Vortex ropes in draft tube of a laboratory Kaplan hydroturbine at low load: An experimental and LES scrutiny of RANS and DES computational models. Journal of Hydraulic Research 55(3), 668-685
  • Nicoud, F., & Ducros, F. (1999). Subgrid-scale stress modelling based on the square of the velocity gradient tensor. Flow, Turbulence and Combustion, 62(3), 183-200.
  • Picano, S., & Hanjalić, K., (2012). Leray-α regularization of the Smagorinsky-closed filtered equations for turbulent jets at high Reynolds numbers. Flow, Turbulence and Combustion, 89(4), 627-650.
  • Smirnov, A., Shi, S., & Celik, I. (2001). Random flow generation technique for large eddy simulations and particle-dynamics modeling. Journal of Fluids Engineering, 123(2), 359-371.
  • Susan-Resiga, R. (2008, June). Hydrodynamic design and analysis of a swirling flow generator. Proceedings of the 4th German – Romanian Workshop on Turbomachinery Hydrodynamics (GRoWTH), Stuttgart, Germany.
  • Slotnick, J., Khodadoust, A., Alonso, J., Darmofal, D., Gropp, W., Lurie, E., & Mavriplis, D. (2014) CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences. NASA/CR–2014-218178.
  • Skripkin, S., Tsoy, M., Shtork, S., & Hanjalić, K. (2016). Comparative analysis of twin vortex ropes in laboratory models of two hydro-turbine draft-tubes. Journal of Hydraulic Research, 54(4), 1-11. http://dx.doi.org/10.1080/00221686.2016.1168325.
  • Zadravec, M., Basic, S., & Hribersek. (2007). The influence of rotating domain size in a rotating frame of reference approach for simulation of rotating impeller in a mixing vessel. J. of Engin. Science and Technology, 2(2), 126 – 138




Contributed by: A. Minakov [1,2], D. Platonov [1,2], I. Litvinov [2], S. Shtork [2], K. Hanjalić [3] — 

[1] Institute of Thermophysics SB RAS, Novosibirsk, Russia,

[2] Siberian Federal University, Krasnoyarsk, Russia,

[3] Delft University of Technology, Chem. Eng. Dept., Holland.

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice