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Comparison of numerical solution strategies for population balance model of continuous cone mill

机译:连续锥磨机人口平衡模型数值解决策略的比较

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摘要

Population balance models are routinely used for modeling particulate processes involving breakage, agglomeration, crystallisation, etc. In this study, a comparison between three different numerical solution strategies for breakage population balance models is presented. Results are obtained for the fixed pivot technique, moving pivot technique and the cell average technique. These techniques are first compared for models whose solutions are analytically available. The comparison shows that fixed pivot lacks the accuracy of both moving pivot and cell average at coarser grids. At finer grids, all the three solution strategies give similar errors. With increasing grid fineness, all the three methods converge to a grid independent solution. Moving pivot is computationally the most expensive methods, followed by the cell average and fixed pivot. These methods are then applied to a conical screen mill modelled by a continuous population balance equation. For all the discretizations considered, cell average computes a higher median particle size value than the fixed pivot and moving pivot. (C) 2019 Published by Elsevier B.V.
机译:人口平衡模型经常用于建模涉及破损,聚集,结晶等的颗粒过程。在本研究中,提出了三种不同数控策略之间的比较。获得固定枢轴技术,移动枢轴技术和电池平均技术的结果。首先比较这些技术的解决方案在分析可用的模型。比较表明,固定枢轴缺乏在粗糙网格处的移动枢轴和电池平均值的精度。在更精细的网格上,所有三种解决方案策略都具有类似的错误。随着栅格细度的增加,所有三种方法都会收敛到网格独立解决方案。移动枢轴是计算的最昂贵的方法,其次是电池平均值和固定的枢轴。然后将这些方法施加到由连续群体平衡方程建模的锥形筛磨机。对于所考虑的所有离散化,电池平均值计算比固定的枢轴和移动枢轴更高的中值粒度值。 (c)2019年由elestvier b.v发布。

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