基于随机游走模型的筒仓内颗粒流堵塞概率测量

随机游走模型能够准确预测筒仓内无摩擦颗粒系统的堵塞概率，但是对于有摩擦的颗粒系统，该模型的适用范围至今尚不清楚。搭建了基于面阵CCD相机的测量装置，通过图像法测量堵塞拱的特征参数，发现当堵塞拱上相邻两个颗粒的夹角与颗粒位置之间满足负线性关系，并且流量大于8.3 g/s时，随机游走模型可以准确预测筒仓的堵塞概率。实验结果拓展了随机游走模型的适用范围，为工业生产中筒仓装置的调控过程提供了参考依据。

Jamming probability measurement of granular flow in silo based on random walk model

The random walk model (RWM) can accurately predict the jamming probability of frictionless granular system in a silo. However, the applicability of this theoretical model for systems with friction remains unclear. In this study, a measuring device based on array CCD cameras is built. The characteristic parameters of jamming arch are measured by image method. It is found that the random walk model can accurately predict the silo jamming probability when the mean angle between two adjacent granules is negatively linear with the granular position on the jamming arch and the mass discharge rate is greater than 8.3 g/s. The experimental results extend the application scope of the RWM and provide a reference for the control process of silo devices in industrial production.