When dealing with flows at moderate Reynolds numbers, the laminar and transition regions are a key component of the flow solution. In applications such as wind turbines and unmanned aerial vehicles, an accurate prediction of the aerodynamic forces requires accounting for these effects. In Reynolds-averaged Navier–Stokes simulations, this is done by incorporating transition models because commonly used turbulence models are unable to predict a significant extent of laminar flow. In this paper, we present and study the coupling of the local correlation-based γ R e θ and γ transition models with the k k L (KSKL) turbulence model, and we compare it to the original formulation using the k ω shear-stress transport (SST) turbulence model. The coupling of the models is calibrated for the flow over a flat plate and subsequently tested for the flow around the S809 and NLF(1)-0416 airfoils, as well as around a 6:1 prolate spheroid. The results show that the combination of the γ R e θ transition model with the KSKL turbulence model leads to a reduction of the numerical uncertainty (discretization errors) when compared to its application with the SST model. On the other hand, the combination of the KSKL model with the γ transition model leads to the sharpest transition of the four combinations tested.


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    Title :

    Coupling Two Correlation-Based Transition Models to the k k L Eddy Viscosity Turbulence Model


    Contributors:

    Published in:

    AIAA Journal ; 59 , 5 ; 1735-1748


    Publication date :

    2021-03-31


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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