| Issue |
EPJ Web Conf.
Volume 340, 2025
Powders & Grains 2025 – 10th International Conference on Micromechanics on Granular Media
|
|
|---|---|---|
| Article Number | 11005 | |
| Number of page(s) | 4 | |
| Section | Powders and Grains in Pharma- and Food Processes | |
| DOI | https://doi.org/10.1051/epjconf/202534011005 | |
| Published online | 01 December 2025 | |
https://doi.org/10.1051/epjconf/202534011005
Modelling the breakage of a spherical agglomerate in a vertically vibrated granular bed
1 Department of Energy Science and Engineering, IIT Bombay, Mumbai - 400076, India
2 Department of Computer Science and Engineering, IIT Bombay, Mumbai - 400076, India
* This email address is being protected from spambots. You need JavaScript enabled to view it.
** This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 1 December 2025
Abstract
The objective of this work is to investigate the deagglomeration of a cohesive cluster in a bed of granular particles subject to vertical vibration using Discrete Element Method-based numerical simulations. The simulation domain is periodic in the gravity normal direction. The bottom wall oscillates with a fixed frequency of 100 Hz. The amplitude is varied over a large range to simulate the bed at different regimes. The top wall is placed at a height (2000 d) to prevent particle interactions and thereby mimic a semi-infinite domain. Non-cohesive particle interactions are modelled using a linear spring-dashpot approach, while cohesive interactions are described by the Hertz-JKR model. All particles are assumed to be perfectly smooth. The ratio of the maximum base energy to the cohesive energy (ϕ) is used for classifying the results obtained from DEM simulations. The data from the simulations is analysed to determine the deagglomeration rate. It is found that deagglomeration is a first-order process, with the deagglomeration rate constant exhibiting a log-linear relationship with ϕ.
© The Authors, published by EDP Sciences, 2025
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

