Grinding is one of the main unit operation in industrial processes handling powders. The particle size reduction that takes place during grinding tests, usually results in a significant change in the flow behavior of the ground powder. Up to now, a model predicting the evolution of powder flowability with grinding time, according to the operating conditions is still missing. In this paper, a methodology combining a grinding kinetic model and a flowability model involving the population-dependent granular Bond number is developed. The methodology has been applied to an alumina powder, ground in a batch ball mill. The flow function coefficient of the ground samples is measured after various grinding times in a powder shear tester. The comparison between model predictions and experimental data shows that this method allows an accurate prediction of the powder flow behavior over the first sixteen minutes of grinding.

研磨是处理粉末的工业过程中的主要单元操作之一。研磨测试期间发生的粒度减小通常会导致研磨粉末的流动行为发生显着变化。到目前为止，仍然缺少根据操作条件预测粉末流动性随研磨时间演变的模型。在本文中，开发了一种结合研磨动力学模型和流动性模型的方法，该模型涉及与人口相关的颗粒邦德数。该方法已应用于在间歇式球磨机中研磨的氧化铝粉末。研磨样品的流动函数系数在粉末剪切测试仪中经过不同研磨时间后测量。