DEM simulation and analysis of the effects of adhesive forces and rotations of admixed particles on improving main particle flowability

Abstract

One technique for improving particle flowability is the admixture of nano-particles to the main particles. However, the mechanisms by which this technique improves flowability are not yet fully understood. In this study we examined compressed packing, which is affected by particle flowability. In order to investigate the mechanism of improvement, discrete element method (DEM) simulation was used to investigate the effects of adhesion forces and rotations of admixed particles on packing fraction.We conducted two types of calculations: (1) compressed packing behavior of a particle bed, and (2) particle behavior in a simple model of the relative motion of two of the main particles. The main and admixed particles were given diameters of 400 and 20nm, respectively. The physical properties of the particles were set based on silica and glass materials. The Hamaker constant of the main particles was kept constant while that of the admixed particle was varied from 2×10−27 to 1×10−20J. Simulations were also conducted both allowing and not allowing rotation of admixed particles.In the packing behavior calculations, the results for the packing fraction of the main particles and the compression velocity exhibited peaks at a Hamaker constant of approximately 10−23J for the admixed particles under 43.8Pa compression pressure, regardless of the degree of rotation of the admixed particles. This showed that rotation of the admixed particles was not the main reason for the improvement in main particle flowability, and this peak tendency was determined by the Hamaker constant of the admixed particles. In addition, an improvement in the particle flowability via different numbers of layers of admixed particles was explained using a linked rigid-3-bodies model. This implies that the improvement in the flowability is due to a decrease in the resistance of particle movement by changing the configuration to a linked rigid-3-bodies model.