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Numerical study of gas-solid flow in a coal beneficiation fluidized bed using kinetic theory of granular flow

机译:利用颗粒流动力学理论研究选煤流化床内气固两相流

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摘要

Modeling the dynamic behavior of gas -solid flow in a pilot scale coal beneficiation fluidized bed (CBFB) model was performed in this work, a transient two-dimensional simulation was done based on the Eulerian model together with the kinetic theory of granular flows. Three steps were conducted to testify the choices of sub-models in CBFB modeling, including gas -solid exchange drag models, gas phase turbulence models, granular temperature models and wall boundary condition models for solid phase. Instantaneous and time-averaged results of particle volume fraction, bubble number and size, particle velocity distributions and vortices, as well as bed density distributions were obtained. The impacts of the sub-models on the flow characteristics in the dense CBFB were illustrated in detail and suitable models with better predictions of CBFB flow pattern were then demonstrated. The Syamlal -O'Brien drag model predicted better results in bed characteristics. The dispersed k-e turbulence model should be used to describe the gas turbulence in the dense CBFB flow regime. The partial slip wall condition for particles had a slight influence in the small model. The partial differential equation granular temperature model could predict the inter-phase surfaces more clearly and the flow pattern more accurately.
机译:在这项工作中,对中试选矿流化床(CBFB)模型中的气固流动力学行为进行了建模,并基于欧拉模型和颗粒流动力学理论进行了瞬态二维模拟。进行了三个步骤来证明CBFB建模中子模型的选择,包括气固交换阻力模型,气相湍流模型,颗粒温度模型和固相壁边界条件模型。获得了瞬时和时间平均的粒子体积分数,气泡数和大小,粒子速度分布和涡旋以及床密度分布的结果。详细说明了子模型对稠密CBFB中流动特性的影响,然后演示了具有更好CBFB流动模式预测的合适模型。 Syamlal -O'Brien阻力模型预测了床层特征更好的结果。应该使用分散的k-e湍流模型来描述稠密CBFB流动状态下的气体湍流。在小模型中,颗粒的部分滑移壁条件有轻微的影响。偏微分方程颗粒温度模型可以更清晰地预测相间表面,更准确地预测流型。

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