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CFD simulation on hydrodynamics in fluidized beds: assessment of gradient approximations and turbulence models

机译:流化床中流体动力学的CFD模拟:梯度近似和湍流模型的评估

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摘要

CFD simulations of gas–solid fluidized beds have been performed in Euler–Euler framework. Green-Gauss Cell Based gradient approximation can predict the solid velocity well among gradient approximations. The dispersed choice in the turbulence model can reproduce the solid velocity correctly while the mixture and per phase choices cannot. The standard k–ε model, RNG k–ε model and SST k–ω model with the dispersed choice can predict the solid velocity well.
机译:气固流化床的CFD模拟已在Euler-Euler框架中进行。基于Green-Gauss Cell的梯度逼近可以很好地预测梯度逼近中的固体速度。湍流模型中的分散选择可以正确地再现固体速度,而混合物和每相选择则不能。具有分散选择的标准k–ε模型,RNG k–ε模型和SST k–ω模型可以很好地预测固体速度。

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  • 来源
    《Heat and Mass Transfer》 |2015年第8期|1067-1074|共8页
  • 作者单位

    Department of Environmental Science and Engineering University of Shanghai for Science and Technology">(1);

    Department of Environmental Science and Engineering University of Shanghai for Science and Technology">(1);

    Department of Environmental Science and Engineering University of Shanghai for Science and Technology">(1);

    Research Reactor Institute Kyoto University">(2);

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