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Numerical studies of the effects of medium properties in dense medium cyclone operations

机译:稠密介质旋风分离器中介质特性影响的数值研究

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A mathematical approach is proposed to describe the multiphase flow in a 1000 mm industrial dense medium cyclone. A mixture multiphase model is employed to describe the flow of the dense medium (comprising finely ground magnetite contaminated with non-magnetic material in water) and the air core, where the turbulence is described by the well established Reynolds stress model. The stochastic Lagrangian particle tracking method is used to simulate the flow of coal particles. The proposed approach was qualitatively validated using literature and industrial data and then used to study the effects of medium properties including medium density, magnetite type and non-magnetic content. It is found that as the medium density increases, the pressure drop increases, resulting in a high pressure gradient force on coal particles and reduced separating efficiencies. The segregation of magnetite particles becomes serious as magnetite particle size increases, which leads to a high density differential and a high off-set. The viscosity of medium decreases and the segregation of magnetite particles become significant with the decrease of non-magnetic content, resulting in a high density differential and off-set.
机译:提出了一种数学方法来描述1000 mm工业重介质旋风分离器中的多相流。混合多相模型用于描述稠密介质(包括在水中被非磁性材料污染的精细研磨的磁铁矿)和空心的流动,其中湍流由公认的雷诺应力模型描述。随机拉格朗日粒子跟踪方法用于模拟煤颗粒的流动。使用文献和工业数据对提出的方法进行了定性验证,然后用于研究介质特性(包括介质密度,磁铁矿类型和非磁性含量)的影响。发现随着介质密度的增加,压降增加,导致作用在煤颗粒上的高压梯度力增大,分离效率降低。随着磁铁矿粒径的增加,磁铁矿颗粒的偏析变得严重,这导致高密度差和高偏移。随着非磁性成分的减少,介质的粘度降低,磁铁矿颗粒的偏析变得明显,从而导致高密度差和偏移。

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