Effective Clearance and Differential Gapping Impact on Seal Flutter Modeling and Validation

  1. Corral, Roque 1
  2. Greco, Michele 1
  3. Vega, Almudena 1
  1. 1 Universidad Politécnica de Madrid
    info

    Universidad Politécnica de Madrid

    Madrid, España

    ROR https://ror.org/03n6nwv02

Revista:
Journal of Turbomachinery

ISSN: 0889-504X 1528-8900

Año de publicación: 2022

Volumen: 144

Número: 7

Tipo: Artículo

DOI: 10.1115/1.4053290 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Journal of Turbomachinery

Resumen

This paper presents an update of the model derived by Corral and Vega (2018, “Conceptual Flutter Analysis of Labyrinth Seal Using Analytical Models. Part I—Theoretical Support,” ASME J. Turbomach., 140(12), p. 121006) for labyrinth seal flutter stability, providing a method of accounting for the effect of dissimilar gaps. The original Corral and Vega (CV) model was intended as a conceptual model for understanding the effect of different geometric parameters on the seal stability comprehensively, providing qualitative trends for seal flutter stability. However, the quantitative evaluation of seal flutter and the comparison of the CV model with detailed unsteady numerical simulations or experimental data require including additional physics. The kinetic energy generated in the inlet gap is not dissipated entirely in the inter-fin cavity of straight-through labyrinth seals, and part is recovered in the downstream knife. This mechanism needs to be retained in the seal flutter model. It is concluded that when the theoretical gaps are identical, the impact of the recovery factor on the seal stability can be high. The sensitivity of the seal stability to large changes in the outlet to inlet gap ratio is high as well. It is concluded that fin variations due to rubbing or wearing inducing inlet gaps more open than the exit gaps lead to an additional loss of stability concerning the case of identical gaps. The agreement between the updated model and 3D linearized Navier–Stokes simulations is excellent when the model is informed with data coming from steady Reynolds-averaged Navier–Stokes simulations of the seal.

Referencias bibliográficas

  • 1. Chupp, R., Hendricks, R., Lattime, S., and Steinetz, B., 2006, “Sealing in Turbomachinery,” AIAA J. Propul. Power, 22(2), pp. 314–349.
  • 2. Alford, J., 1964, “Protection of Labyrinth Seals From Flexural Vibration,” ASME J. Eng. Gas Turbines Power, 86(2), pp. 141–147.
  • 3. Alford, J. S., 1971, “Labyrinth Seal Designs Have Benefitted From Development and Service Experience,” SAE Technical Paper, SAE International.
  • 4. Alford, J. S., 1975, “Nature, Causes and Prevention of Labyrinth Air Seal Failures,” AIAA J. Aircr., 12(4), pp. 313–318.
  • 5. Lewis, D., Platt, C., and Smith, E., 1979, “Aeroelastic Instability in F100 Labyrinth Air Seals,” AIAA J. Aircr., 16(7), pp. 484–490.
  • 6. Ehrich, F., 1968, “Aeroelastic Instability in Labyrinth Seals,” ASME J. Eng. Gas Turbines Power, 90(4), pp. 369–374.
  • 7. Abbot, D. R., 1981, “Advances in Labyrinth Seal Aeroelastic Instability Prediction and Prevention,” ASME J. Eng. Gas Turbines Power, 103(2), pp. 308–312.
  • 8. Mare, L. D., Imregun, M., Green, J., and Sayma, A. I., 2010, “A Numerical Study on Labyrinth Seal Flutter,” ASME J. Tribol., 132(2), p. 022201.
  • 9. Corral, R., and Vega, A., 2018, “Conceptual Flutter Analysis of Labyrinth Seals Using Analytical Models. Part I: Theoretical Background,” ASME J. Turbomach., 140(10), p. 121006.
  • 10. Corral, R., Vega, A., and Greco, M., 2020, “Conceptual Flutter Analysis of Stepped Seals,” ASME J. Eng. Gas Turbines Power, 142(7), p. 071001.
  • 11. Corral, R., Greco, M., and Vega, A., 2019, “Tip-Shroud Labyrinth Seal Impact on the Flutter Stability of Turbine Rotor Blades,” ASME J. Turbomach., 141(10), p. 101006.
  • 12. Corral, R., Greco, M., and Vega, A., 2021, “Higher-Order Conceptual Model for Seal Flutter,” ASME J. Turbomach., 143(7), p. 071006.
  • 13. Greco, M., and Corral, R., 2021, “Numerical Validation of an Analytical Seal Flutter Model,” J. Global Power Propul. Soc., 5, pp. 191–201.
  • 14. Miura, T., and Sakai, N., 2019, “Numerical and Experimental Studies of Labyrinth Seal Aeroelastic Instability,” ASME J. Eng. Gas Turbines Power, 141(11), p. 111005.
  • 15. Vega, A., and Corral, R., 2018, “Conceptual Flutter Analysis of Labyrinth Seals Using Analytical Models. Part II: Physical Interpretation,” ASME J. Turbomach., 140(10), p. 121007.
  • 16. Hodkinson, B., 1939, “Estimation of the Leakage Through a Labyrinth Gland,” Proc. Inst. Mech. Eng., 141(1), pp. 283–288.
  • 17. Burgos, M., Corral, R., and Contreras, J., 2011, “Efficient Edge Based Rotor/Stator Interaction Method,” AIAA J., 41(1), pp. 19–31.
  • 18. Suryanarayanan, S., and Morrison, G. L., 2009, “Analysis of Flow Parameters Influencing Carry-Over Coefficient of Labyrinth Seals,” Vol. 3 of ASME Turbo Expo 2009, pp. 1137–1145, ASME Paper GT2009-59245.
  • 19. Szymanski, A., Dykas, S., Majkut, M., and Strozik, M., 2016, “The Assessment of the Calculation Method for Determining Characteristics of One Straight Fin Labyrinth Seal,” Trans. Inst. Fluid-Flow Mach., 134, pp. 89–107.
  • 20. Corral, R., Escribano, A., Gisbert, F., Serrano, A., and Vasco, C., 2003, “Validation of a Linear Multigrid Accelerated Unstructured Navier–Stokes Solver for the Computation of Turbine Blades on Hybrid Grids,” 9th AIAA/CEAS Aeroacoustics Conference, Hilton Head, SC, May 12–14.
  • 21. Vega, A., and Corral, R., 2016, “The Low Reduced Frequency Limit of Vibrating Airfoils—Part II: Numerical Experiments,” ASME J. Turbomach, 128(2), p. 021005.
  • 22. Corral, R., Beloki, J., Calza, P., and Elliot, R., 2019, “Flutter Generation and Control Using Mistuning in a Turbine Rotating Rig,” AIAA J., 57(2), pp. 782–795.