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Prediction of slurry transport in SAG mills using SPH fluid flow in a dynamic DEM based porous media

机译:在基于动态DEM的多孔介质中使用SPH流体流预测SAG磨机中的泥浆运输

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DEM modelling of the motion of coarse fractions of the charge inside SAG mills has now been well established for more than a decade. In these models the effect of slurry has broadly been ignored due to its complexity. Smoothed particle hydrodynamics (SPH) provides a particle based method for modelling complex free surface fluid flows and is well suited to modelling fluid flow in mills. Previous modelling has demonstrated the powerful ability of SPH to capture dynamic fluid flow effects such as lifters crashing into slurry pools, fluid draining from lifters, flow through grates and pulp lifter discharge. However, all these examples were limited by the ability to model only the slurry in the mill without the charge. In this paper, we represent the charge as a dynamic porous media through which the SPH fluid is then able to flow. The porous media properties (specifically the spatial distribution of porosity and velocity) are predicted by time averaging the mill charge predicted using a large scale DEM model. This allows prediction of transient and steady state slurry distributions in the mill and allows its variation with operating parameters, slurry viscosity and slurry volume, to be explored.
机译:十多年来,在SAG磨机内部对装料粗粒运动的DEM建模已得到很好的建立。在这些模型中,浆液的影响由于其复杂性而被广泛忽略。平滑粒子流体动力学(SPH)提供了一种基于粒子的方法来对复杂的自由表面流体流动进行建模,非常适合在工厂中对流体流动进行建模。先前的模型已经证明了SPH捕获动态流体流动效果的强大能力,例如提升器撞入泥浆池,流体从提升器中排出,流经炉排和提升器排出。但是,所有这些示例均受到仅对磨机中的浆液进行建模而没有装料的能力的限制。在本文中,我们将电荷表示为动态多孔介质,SPH流体随后可以流过该介质。多孔介质的特性(特别是孔隙率和速度的空间分布)是通过对使用大型DEM模型预测的磨机进料进行时间平均来预测的。这可以预测磨机中瞬时和稳态浆液的分布,并可以研究其随操作参数,浆液粘度和浆液体积的变化。

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