AN ALGORITHM FOR THE PROGENY SIZE DISTRIBUTIONS OF SUCCESSIVE BREAKAGE EVENTS IN BATCH BALL MILLS

Mahmut Camalan
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引用次数: 1

Abstract

The kinetic population balance model (PBM) is used to predict the particle size distributions of batch ball milling products. However, the rate parameters, as well as the solution of this model, may not be found in the non-first-order breakage region. This study alternatively represents a PBM-coupled simulation algorithm, which resembles a time-implicit or explicit matrix PBM for ball milling. The algorithm simply predicts the progeny size distributions after successive ball-particle impact events occurring in a batch ball mill. Therefore, the algorithm can accurately estimate the progeny size distributions either under the first-order or the non-first-order breakage region. For the purpose of this study, a few case studies were presented to demonstrate the accuracy of the algorithm.
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间歇式球磨机连续破碎事件子代尺寸分布算法
采用动态种群平衡模型(PBM)预测间歇球磨产品的粒度分布。然而,在非一阶断裂区域可能找不到速率参数,也找不到模型的解。该研究代表了一种PBM耦合仿真算法,类似于球磨的时间隐式或显式矩阵PBM。该算法简单地预测了在间歇式球磨机中连续发生球粒撞击事件后的子代尺寸分布。因此,无论在一阶或非一阶破碎区域,该算法都能准确地估计出子代的大小分布。为了本研究的目的,提出了几个案例研究来证明该算法的准确性。
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