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Turbulent Schmidt numbers for CFD simulations using the k-ε and k-ω models

机译:使用k-ε和k-ω模型进行CFD模拟的湍流Schmidt数

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Turbulent diffusion dominates mixing at high molecular Schmidt numbers. When solving the Reynolds averaged Navier-Stokes equations, one of the key parameters for the correct simulation of mixing is the turbulent Schmidt number (Sc_t). In the case of the k-ε turbulence model, many CFD packages suggest a value of 0.7 for Sc_t. However, it has been demonstrated that this value is not adequate for all cases. This paper reports simulations for three different cases of turbulent mixing and compares the results with experimental data. It has been found that, for jets in crossflow, Sc_t is a function of the Reynolds number of the jet, the ratio between the diameters of the jet and main flow and the turbulent intensity of the jet and the main flow. Numerical simulations using the k-ω model are also performed, showing that the required value of Sc_t is dependent on the turbulence model used.
机译:湍流扩散主导着高分子量Schmidt数的混合。在求解雷诺平均Navier-Stokes方程时,正确模拟混合的关键参数之一是湍流的Schmidt数(Sc_t)。在k-ε湍流模型的情况下,许多CFD软件包建议Sc_t的值为0.7。但是,已经证明该值并不适合所有情况。本文报告了三种不同湍流混合情况的模拟,并将结果与​​实验数据进行了比较。已经发现,对于错流的射流,Sc_t是射流的雷诺数,射流和主流的直径之间的比率以及射流和主流的湍流强度的函数。还使用k-ω模型进行了数值模拟,表明所需的Sc_t值取决于所使用的湍流模型。

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