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Assessment of the Turbulence Characteristics of Shaped Film Cooling Hole with Scale Resolving Simulation

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Abstract

The turbulence characteristics of the shaped hole film cooling are very complex. In this study, Large Eddy Simulation (LES) and Reynolds-averaged Navier-Stokes (RANS) are used to study the film cooling of the shaped hole. The time-averaged results are compared with the experimental data in the literature. Because of the eddy-viscosity model, the RANS method roughly deals with the simulation of boundary layer, which leads to a large deviation. The RANS results are compared with the LES results to identify the weaknesses of the Realizable k-ε model in predicting the turbulence characteristics of the shaped hole film cooling. The eddy viscosity hypothesis and the temperature gradient diffusion hypothesis are evaluated using LES data. Furthermore, the turbulence characteristics of the in-hole flow are analysed with the help of the incremental Proper Orthogonal Decomposition (iPOD). The turbulence presents strong anisotropy and some convection structures are induced from the shear zone.

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Abbreviations

D :

diameter of the cooling hole/m

f :

frequency/Hz

k :

turbulent kinetic energy/m2·s−2

M :

blowing ratio

Pr t :

turbulent Prandtl number

S ij :

strain-rate tensor/s−1

Tu :

turbulent intensity

\(\overline {u_i^\prime u_j^\prime}\) :

Reynolds stress/m2·s−2

\(\overline {u_i^\prime {\theta ^\prime}}\) :

turbulent heat flux/m·s−1

X :

Cartesian coordinate system (Streamwise)/m

Y :

Cartesian coordinate system (Normal)/m

Z :

Cartesian coordinate system (Lateral)/m

α t :

eddy diffusivity/m2·s−1

ε :

turbulent dissipation rate/m2·s−3

η :

film cooling effectiveness, (T∞−Taw)/(T∞−Tc)

θ :

non-dimensional temperature, (T−Taw)/(T∞−Tc)

υ t :

eddy viscosity/m2·s−1

ω i :

vorticity components/s−1

aw:

adiabatic wall

c:

coolant

∞:

mainstream

References

  1. Bogard D.G., Thole K.A., Gas turbine film cooling. Journal of Propulsion and Power, 2006, 22(2): 249–270.

    Article  Google Scholar 

  2. Goktepeli I., Atmaca U., Cakan A., Investigation of heat transfer augmentation between the ribbed plates via taguchi approach and computational fluid dynamics. Journal of Thermal Science, 2020, 29: 647–666.

    Article  ADS  Google Scholar 

  3. Galeazzo F., Donnert G., Habisreuther P., Zarzalis N., Valdes R.J., Krebs W., Measurement and simulation of turbulent mixing in a jet in crossflow. ASME. Journal of Engineering for Gas Turbines and Power, 2011, 133(6): 061504.

    Article  Google Scholar 

  4. Laroche E., Fenot M., Dorignac E., Vuillerme J.J., Brizzi, L.E., Larroya J.C., A combined experimental and numerical investigation of the flow and heat transfer inside a turbine vane cooled by jet impingement. Journal of Turbomachinery, 2018, 140(3): 031002.

    Article  Google Scholar 

  5. Foroutan H., Yavuzkurt S., Numerical simulations of the near-field region of film cooling jets under high free stream turbulence: Application of rans and hybrid urans/large eddy simulation models. Journal of Heat Transfer, 2015, 137(1): 011701.

    Article  Google Scholar 

  6. Bergeles G., Gosman A.D., Launder B.E., The turbulent jet in a cross stream at low injection rates: a three-dimensional numerical treatment. Numerical Heat Transfer, Part B: Fundamentals, 1978, 1(2): 217–242.

    Article  ADS  Google Scholar 

  7. Lakehal D., Near-wall modeling of turbulent convective heat transport in film cooling of turbine blades with the aid of direct numerical simulation data. Journal of Turbomachinery, 2002, 124(3): 485–498.

    Article  Google Scholar 

  8. Bianchini C., Andrei L., Andreini A., Facchini B., Numerical benchmark of nonconventional RANS turbulence models for film and effusion cooling. Journal of turbomachinery, 2013, 135(4): 041026.

    Article  Google Scholar 

  9. Ling J., Ruiz A., Lacaze G., Oefelein J., Uncertainty analysis and data-driven model advances for a jet-in-crossflow. Journal of Turbomachinery, 2017, 139(2): 021008.

    Article  Google Scholar 

  10. Sarkar S., Babu H., Large eddy simulation on the interactions of wake and film-cooling near a leading edge. Journal of Turbomachinery, 2014, 137(1): 011005.

    Article  Google Scholar 

  11. Stratton Z.T., Shih T.I.P., Identifying weaknesses in eddy-viscosity models for predicting film cooling via large-eddy simulations. Journal of Propulsion and Power, 2019, 35(3): 583–594.

    Article  Google Scholar 

  12. Schroeder R.P., Thole K.A., Adiabatic effectiveness measurements for a baseline shaped film cooling hole. Proceedings of the ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. Volume 5B: Heat Transfer, 2014. V05BT13A036. ASME. DOI: https://doi.org/10.1115/GT2014-25992.

  13. Wang Q.S., Su X.R., Yuan X., Large-eddy simulation of shaped hole film cooling with the influence of cross flow. International Journal of Turbo & Jet-Engines. 2020, pp. 000010151520200012. DOI: https://doi.org/10.1515/tjj-2020-0012.

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Acknowledgements

This study is supported by the National Natural Science Foundation of China (Project Grant No. 51876098) and National Science and Technology Major Project (J2019-III-0007-0050). This research is also sponsored by the Open Fund from Science and Technology on Thermal Energy and Power Laboratory (TPL2018B05).

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Authors and Affiliations

  1. Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing, 100084, China

    Qingsong Wang, Xinrong Su & Xin Yuan

Authors
  1. Qingsong Wang
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  2. Xinrong Su
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  3. Xin Yuan
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Correspondence to Xinrong Su.

Additional information

Article type: Contributed by Asian Congress on Gas Turbines 2020 (August 18–19, 2021, China).

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Wang, Q., Su, X. & Yuan, X. Assessment of the Turbulence Characteristics of Shaped Film Cooling Hole with Scale Resolving Simulation. J. Therm. Sci. 31, 47–61 (2022). https://doi.org/10.1007/s11630-022-1545-5

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  • DOI: https://doi.org/10.1007/s11630-022-1545-5

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