Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
|
|
---|---|---|
Article Number | 15018 | |
Number of page(s) | 4 | |
Section | Particle simulations and particle-based methods | |
DOI | https://doi.org/10.1051/epjconf/201714015018 | |
Published online | 30 June 2017 |
https://doi.org/10.1051/epjconf/201714015018
DEM Simulation of Particle Stratification and Segregation in Stockpile Formation
1 Laboratory for Simulation and Modelling of Particulate Systems (SIMPAS), Department of Chemical Engineering, Monash University, VIC 3800, Australia
2 BlueScope Steel, Port Kembla, NSW 2505, Australia
* Zongyan Zhou: zongyan.zhou@monash.edu
Published online: 30 June 2017
Granular stockpiles are commonly observed in nature and industry, and their formation has been extensively investigated experimentally and mathematically in the literature. One of the striking features affecting properties of stockpiles are the internal patterns formed by the stratification and segregation processes. In this work, we conduct a numerical study based on DEM (discrete element method) model to study the influencing factors and triggering mechanisms of these two phenomena. With the use of a previously developed mixing index, the effects of parameters including size ratio, injection height and mass ratio are investigated. We found that it is a void-filling mechanism that differentiates the motions of particles with different sizes. This mechanism drives the large particles to flow over the pile surface and segregate at the pile bottom, while it also pushes small particles to fill the voids between large particles, giving rise to separate layers. Consequently, this difference in motion will result in the observed stratification and segregation phenomena.
Key words: stockpile / segregation / stratification / DEM
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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