Advertisement

Mistuning Effects on Aero-elastic Stability of Contra-Rotating Turbine Blades

  • Xiaobo ZhangEmail author
  • Yanrong Wang
Original Paper
  • 18 Downloads

Abstract

The aero-elasticity of contra-rotating turbine blades has been evaluated by employing the energy method and the aero-elastic eigenvalue method, which is different from the normal turbine blades with HPT wake impinging on the LPT directly. The effects of two different intentional mistuning patterns and random mistuning with standard deviation from 0.1 to 1% on aero-elastic stability of the low-pressure turbine (LPT) blades have been investigated by use of the eigenvalue method. Studies show that the best stabilized effect can be obtained with a specific distribution of mistuning amount for alternate and sinusoidal patterns. The random mistuning can improve the stability of tuned system with the increase of the standard deviation. But when the standard deviation is greater than 0.6%, the improving effect is invariable. For the mistuned system, the random mistuning decreases the stability of the intentional mistuned system and the optimal mistuning pattern has been changed. Additionally, when the standard deviation of the random mistuning is fixed, the mistuning amount has a more significant effect on the alternate mistuning than the sinusoidal mistuning.

Keywords

Contra-rotating turbine blade Aero-elastic stability Mistuning Aero-elastic eigenvalue method 

Notes

Acknowledgements

This work is supported by the National Nature Science Foundation of China (No. 51475022).

References

  1. 1.
    Wintucky WT, Stewart WL (1958) Analysis of two-stage counter-rotating turbine efficiencies in terms of work and speed requirements. NACA RM E57L05. http://hdl.handle.net/2060/19930090012
  2. 2.
    Louis JF (1985) Axial flow contra-rotating turbines. ASME Paper No. 85-GT-218.  https://doi.org/10.1115/85-gt-218
  3. 3.
    Haldeman C, Dunn MG, Abhari R, Johnson PD, Montesdeoca XA (2000) Experimental and computational investigation of the time-averaged and time-resolved pressure loading on a vaneless counter-rotating turbine. ASME Paper No. 2000-GT-0445.  https://doi.org/10.1115/2000-gt-0445
  4. 4.
    Subbarao R, Govardhan M (2014) Effect of speed ratio on the performance and flow field of a counter rotating turbine. Energy Proc 54:580–592.  https://doi.org/10.1016/j.egypro.2014.07.299 CrossRefGoogle Scholar
  5. 5.
    Zhao QJ, Wang HS, Zhao XL, Xu JZ (2007) Numerical analysis of 3-D unsteady flow in a vaneless counter-rotating turbine. Front Energy Power Eng China 1(3):352–358.  https://doi.org/10.1007/s11708-007-0053-3 CrossRefGoogle Scholar
  6. 6.
    Zhao QJ, Liu XY, Wang HS, Zhao XL, Xu JZ (2009) Experimental investigation on unsteady pressure fluctuation of rotor tip region in high pressure stage of a vaneless counter-rotating turbine. Sci China Ser E-Tech Sci 52(6):1478–1483.  https://doi.org/10.1007/s11431-009-0169-2 CrossRefGoogle Scholar
  7. 7.
    Zhao QJ, Qiao JF, Wang HS, Xu JZ (2009) Experimental and numerical investigation on flow characteristics of a vaneless counter-rotating turbine at off-design conditions. AIAA Paper No. 2009-4835.  https://doi.org/10.2514/6.2009-4835
  8. 8.
    Wang HS, Zhao QJ, Zhao XL, Xu JZ (2005) Unsteady numerical simulation of shock systems in vaneless counter-rotating turbine. ASME Paper No. GT2005-68212.  https://doi.org/10.1115/gt2005-68212
  9. 9.
    Namba M, Nishino R (2006) Flutter analysis of contra-rotating blade rows. AIAA J 44(11):2612–2620.  https://doi.org/10.2514/1.22561 CrossRefGoogle Scholar
  10. 10.
    Namba M, Nishino R (2006) Unsteady aerodynamic response of oscillating contra-rotating annular cascades part I: description of model and mathematical formulations. Trans Japan Soc Aeronaut Space Sci 49(165):175–180.  https://doi.org/10.2322/tjsass.49.175 CrossRefGoogle Scholar
  11. 11.
    Namba M, Nishino R (2006) Unsteady aerodynamic response of oscillating contra-rotating annular cascades part II: numerical study. Trans Japan Soc Aeronaut Space Sci 49(165):181–186.  https://doi.org/10.2322/tjsass.49.181 CrossRefGoogle Scholar
  12. 12.
    Stapelfeldt SC, Parry AB, Vahdati M (2015) Investigation of flutter mechanisms of a contra-rotating open rotor. J Turbomach 138(5):051009.  https://doi.org/10.1115/1.4032186 CrossRefGoogle Scholar
  13. 13.
    Whitehead DS (1966) Effect of mistuning on the vibration of turbo-machine blades induced by wakes. J Mech Eng Sci 8(1):15–21.  https://doi.org/10.1243/JMES_JOUR_1966_008_004_02 CrossRefGoogle Scholar
  14. 14.
    Bendiksen OO (1984) Flutter of mistuned turbomachinery rotors. J Gas Turbines Power 106(1):25–33.  https://doi.org/10.1115/1.3239546 MathSciNetCrossRefGoogle Scholar
  15. 15.
    Wang YR, Fu ZZ, Jiang XH, Tian AM (2015) Mistuning effects on aero-elastic stability of axial compressor rotor blades. J Gas Turbines Power 137(10):102504.  https://doi.org/10.1115/1.4030280 CrossRefGoogle Scholar
  16. 16.
    Zhang XW, Wang YR, Xu KN (2013) Mechanisms and key parameters for compressor blade stall flutter. J Turbomach 135(2):024501.  https://doi.org/10.1115/1.4007441 CrossRefGoogle Scholar
  17. 17.
    Hanamura Y, Tanaka H, Yamaguchi K (1980) A simplified method to measure unsteady forces acting on the vibrating blades in cascade. Bull JSME 23(180):880–887.  https://doi.org/10.1299/jsme1958.23.880 CrossRefGoogle Scholar
  18. 18.
    Fu ZZ, Wang YR, Jiang XH, Wei DS (2015) Tip clearance effects on aero-elastic stability of axial compressor blades. J Gas Turbines Power 137(1):012501.  https://doi.org/10.1115/1.4028019 CrossRefGoogle Scholar
  19. 19.
    Erdos JI, Alzner E, McNally W (1977) Numerical solution of periodic transonic flow through a fan stage. AIAA J 15(11):1559–1568.  https://doi.org/10.2514/3.60823 CrossRefzbMATHGoogle Scholar
  20. 20.
    Micallef D, Witteck D, Wiedermann A, Kluß D, Mailach R (2012) Three-dimensional viscous flutter analyses of a turbine cascade in subsonic and transonic flows. ASME Paper No. GT2012-68396.  https://doi.org/10.1115/gt2012-68396
  21. 21.
    Vedeneev VV, Kolotnikov M, Makarov P (2015) Experimental validation of numerical blade flutter prediction. J Propul Power 31(5):1–11.  https://doi.org/10.2514/1.B35419 CrossRefGoogle Scholar
  22. 22.
    Zhai Y, Bladh R, Dyverfeldt G (2012) Aeroelastic stability assessment of an industrial compressor blade including mistuning effects. J Turbomach 134(6):060903.  https://doi.org/10.1115/1.4007210 CrossRefGoogle Scholar

Copyright information

© The Korean Society for Aeronautical & Space Sciences and Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Energy and PowerBeihang UniversityBeijingChina
  2. 2.Collaborative Innovation Center for Advanced Aero-EngineBeijingChina

Personalised recommendations