Analysis of Cohesive Microsized Particle Packing Structure Using History-Dependent Contact Models
Raihan Tayeb, Xin Dou, Yijin Mao, Yuwen Zhang

TL;DR
This study investigates how cohesive micro-sized particles with different size distributions pack together, using DEM simulations to analyze the effects of cohesion, particle size, and distribution on packing density and force networks.
Contribution
It introduces a detailed DEM simulation framework incorporating various forces and compares two history-dependent contact models for cohesive micro-particle packing analysis.
Findings
Particle size distribution significantly affects packing density.
Cohesive effects have minimal impact on coordination number.
Different contact models yield similar results for porosity and force distribution.
Abstract
Granular packing structures of cohesive micro-sized particles with different sizes and size distributions, including mono-sized, uniform and Gaussian distribution, are investigated by using two different history dependent contact models with Discrete Element Method (DEM). The simulation is carried out in the framework of LIGGGHTS which is a DEM simulation package extended based on branch of granular package of widely used open-source code LAMMPS. Contact force caused by translation and rotation, frictional and damping forces due to collision with other particles or container boundaries, cohesive force, van der Waals force, and gravity are considered. The radial distribution functions (RDFs), force distributions, porosities, and coordination numbers under cohesive and non-cohesive conditions are reported. The results indicate that particle size and size distributions have great…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
