Effect of turbulent Prandtl number on the computation of film-cooling effectiveness

Liu, Cun-liang; Zhu, Hui-ren; Bai, Jiang-tao

doi:10.1016/j.ijheatmasstransfer.2008.04.039

Cited by 50 publications

(12 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…0.4, 0.5, etc.) causes the heat diffusion capacity in the flow to be enhanced and consequently the cooling effectiveness is increased notably in the spanwise direction [32].…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Implicit algebraic model for predicting turbulent heat flux in film cooling flow

Rajabi-Zargarabadi

Bazdidi–Tehrani

2009

Numerical Methods in Fluids

View full text Add to dashboard Cite

SUMMARYThe present study addresses a new effort to improve the prediction of turbulent heat flux in the film cooling flow by applying the implicit algebraic flux (IAF) model of Rogers et al. A three-dimensional symmetry case is investigated using a film hole length-to-diameter ratio of 1.75 and an injection angle of 35 • . The low Reynolds number second moment closure (SMC) model with a wall-reflection term is employed for simulating the turbulent flow field right up to the wall. Results obtained from the IAF model are compared with two other algebraic turbulent heat flux models, namely, the simple eddy diffusivity (SED) with a constant turbulent Prandtl number and the generalized gradient diffusion hypothesis (GGDH). Comparisons of the turbulent heat flux components calculated by these models show that the major difference appears in the streamwise turbulent heat flux. These models demonstrate a significant effect on the prediction of film cooling effectiveness. The SED model with a constant prescribed value for the turbulent Prandtl number fails to predict the cooling air spreading in the lateral direction while by employing the GGDH and IAF models, the spreading of the cooling air and the decay of the effectiveness in the core region are reasonably predicted. A combination of the SMC and IAF models for simulating the turbulent flow and heat transfer is capable of predicting the streamwise and lateral film cooling effectiveness in very good agreement with the available experimental data.

show abstract

“…0.4, 0.5, etc.) causes the heat diffusion capacity in the flow to be enhanced and consequently the cooling effectiveness is increased notably in the spanwise direction [32].…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Implicit algebraic model for predicting turbulent heat flux in film cooling flow

Rajabi-Zargarabadi

Bazdidi–Tehrani

2009

Numerical Methods in Fluids

View full text Add to dashboard Cite

show abstract

“…The commonly used and validated realizable ke model with the enhanced wall treatment for film cooling simulation [34,35] was employed in the present study. The discretization scheme for the convection terms was the QUICK scheme.…”

Section: Numerical Simulation Approachmentioning

confidence: 99%

Film cooling sensitivity of laidback fanshape holes to variations in exit configuration and mainstream turbulence intensity

Liu

Zhu

et al. 2015

International Journal of Heat and Mass Transfer

Self Cite

View full text Add to dashboard Cite

“…Furthermore realizable κ-model has been used as a turbulent flow model in this study since it is consistent with the physics of turbulent flows. Recently many researchers have employed realizable κ-model because it performed better than the other turbulence models such as the standard κ-model and SST κ-ω model [23]. Moreover realizable κ-has been employed since it requires a reasonable computational time as well as wide spread usage in the gas turbine heat transfer industry [24].…”

Section: Mathematical Modelsmentioning

confidence: 99%

Validation of three dimensional film cooling modeling on convex surface for gas turbine blade

Yusop¹,

Ali²,

Abdullah³

2012

International Communications in Heat and Mass Transfer

View full text Add to dashboard Cite

Effect of turbulent Prandtl number on the computation of film-cooling effectiveness

Cited by 50 publications

References 21 publications

Implicit algebraic model for predicting turbulent heat flux in film cooling flow

Implicit algebraic model for predicting turbulent heat flux in film cooling flow

Film cooling sensitivity of laidback fanshape holes to variations in exit configuration and mainstream turbulence intensity

Validation of three dimensional film cooling modeling on convex surface for gas turbine blade

Contact Info

Product

Resources

About