Accurate modeling of interparticle forces in DEM is critical to predicting the rheology of cohesive particles. Rigorous cohesion models usually include parameters associated with particle surface roughness. However, both roughness measurement and its distillation into appropriate model parameters remain challenging. We propose a square‐force cohesion model, where cohesive force remains constant until a cutoff separation, above which cohesion vanishes. We demonstrate the square‐force model is a valid surrogate of more rigorous models. Specifically, when two parameters of square‐force model are chosen to match the two key quantities governing dense and dilute flows, namely maximum cohesive force and critical cohesive energy, respectively, DEM results using square‐force and more rigorous models show good agreement. For practical application of the square‐force model to lightly cohesive systems, a method is established to extract its parameters via defluidization, enabling determination of particle–particle cohesion from simpler bulk measurements than complicated and expensive scans on individual grains. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2329–2339, 2018

中文翻译：

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方力凝聚力模型及其从批量测量中的提取

DEM中粒子间力的准确建模对于预测粘性粒子的流变性至关重要。严格的内聚模型通常包括与粒子表面粗糙度相关的参数。然而，粗糙度测量和将其蒸馏成合适的模型参数仍然具有挑战性。我们提出了平方力内聚模型，其中内聚力保持恒定直到截止分离为止，在该分离之前，内聚消失了。我们证明了平方力模型是更严格模型的有效替代。具体来说，当方力模型的两个参数，要选择符合理事密和稀流动，即最大的凝聚力和临界聚能两个关键量，分别使用方力和更严格的模型DEM结果显示良好的一致性。为了将方力模型实际应用到轻黏性系统中，建立了一种通过去流体提取其参数的方法，与对单个晶粒进行复杂而昂贵的扫描相比，可以通过更简单的体积测量来确定颗粒间的内聚力。©2018美国化学工程师学会AIChE J，64：2329–2339，2018