Analysis of Turbulent Scalar Flux Models for a Discrete Hole Film Cooling Flow | Zendy

Julia Ling | Zendy; Kevin Ryan | Zendy; Julien Bodart | Zendy; John K. Eaton | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Analysis of Turbulent Scalar Flux Models for a Discrete Hole Film Cooling Flow

Author(s) -

Julia Ling,

Kevin Ryan,

Julien Bodart,

John K. Eaton

Publication year - 2015

Publication title -

journal of turbomachinery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.972

H-Index - 112

eISSN - 1528-8900

pISSN - 0889-504X

DOI - 10.1115/1.4031698

Subject(s) - turbulent prandtl number , turbulence , prandtl number , reynolds averaged navier–stokes equations , mechanics , scalar (mathematics) , reynolds number , turbulent diffusion , physics , reynolds stress , turbulence modeling , reynolds stress equation model , statistical physics , thermodynamics , classical mechanics , mathematics , k epsilon turbulence model , heat transfer , geometry , nusselt number , k omega turbulence model

Algebraic closures for the turbulent scalar fluxes were evaluated for a discrete hole film cooling geometry using the results from a high-fidelity Large Eddy Simulation (LES). Several models for the turbulent scalar fluxes exist, including the widely used Gradient Diffusion Hypothesis, the Generalized Gradient Diffusion Hypothesis, and the Higher Order Generalized Gradient Diffusion Hypothesis. By analyzing the results from the LES, it was possible to isolate the error due to these turbulent mixing models. Distributions of the turbulent diffusivity, turbulent viscosity, and turbulent Prandtl number were extracted from the LES results. It was shown that the turbulent Prandtl number varies significantly spatially, undermining the applicability of the Reynolds analogy for this flow. The LES velocity field and Reynolds stresses were fed into a RANS solver to calculate the fluid temperature distribution. This analysis revealed in which regions of the flow various modeling assumptions were invalid and what effect those assumptions had on the predicted temperature distribution

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research