Departamento de Física y Matemática Aplicada, Facultad de Ciencias, Universidad de Navarra, Pamplona, Spain.
Phys Rev Lett. 2018 Sep 28;121(13):138001. doi: 10.1103/PhysRevLett.121.138001.
Based on the implementation of a novel silo discharge procedure, we are able to control the grains velocities regardless of the outlet size. This allows isolating the geometrical and kinematic contributions to the clogging process. We find that, for a given outlet size, reducing the grains velocities to extremely low values leads to a clogging probability increment of almost two orders of magnitude, hence revealing the importance of particle kinematics in the silo clogging process. Then, we explore the contribution of both variables, outlet size and grains velocity, and we find that our results agree with an already known exponential expression that relates clogging probability with outlet size. We propose a modification of such expression revealing that only two parameters are necessary to fit all the data: one is related with the geometry of the problem, and the other with the grains kinematics.
基于一种新颖的筒仓卸料程序的实施,我们能够控制谷物的速度,而不受出口尺寸的影响。这使得可以隔离堵塞过程中的几何和运动学贡献。我们发现,对于给定的出口尺寸,将谷物速度降低到极低的值会导致堵塞概率增加近两个数量级,从而揭示了颗粒运动学在筒仓堵塞过程中的重要性。然后,我们研究了两个变量,即出口尺寸和谷物速度的贡献,并且发现我们的结果与已经存在的一个指数表达式相符,该表达式将堵塞概率与出口尺寸相关联。我们提出了对该表达式的修改,表明仅需两个参数即可拟合所有数据:一个与问题的几何形状有关,另一个与颗粒运动学有关。