Predicting the flow behavior of particles is important for the equipment design and optimization of processes and operations involving granular materials. Simulations using the discrete element method (DEM) have been used to gain insights about the granular flow, but the correct use of this technique requires knowledge about the input parameters. However, reliable measurements of these parameters remain a challenge. The purpose of this study was to test and validate experimental methodologies for determining important DEM parameters, including the coefficients of restitution and static and rolling friction, for the particle–particle and particle–wall interactions. The experimental tests were reproduced using DEM simulation to enable the identification of the best procedure for measuring each parameter. The influence of the thickness of the material on which the particles are colliding on the experimental measurement of the coefficient of restitution were quantified. It was also performed a deep statistical analysis of the simulations results using experimental design techniques to identify the significant input parameter in each measurement technique, using loose and grouped particles.

预测颗粒的流动行为对于设备设计以及涉及粒状材料的工艺和操作的优化至关重要。使用离散元素方法（DEM）进行的模拟已获得有关颗粒流的见解，但是正确使用此技术需要了解输入参数。然而，这些参数的可靠测量仍然是一个挑战。这项研究的目的是测试和验证用于确定重要的DEM参数（包括恢复系数以及静摩擦和滚动摩擦）的粒子间和粒子间相互作用的实验方法。使用DEM模拟重现了实验测试，从而能够确定用于测量每个参数的最佳过程。量化了颗粒碰撞的材料厚度对恢复系数的实验测量的影响。它还使用实验设计技术对模拟结果进行了深入的统计分析，以使用松散的分组颗粒识别每种测量技术中的重要输入参数。