Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
|
|
---|---|---|
Article Number | 09033 | |
Number of page(s) | 4 | |
Section | Fluids and particles | |
DOI | https://doi.org/10.1051/epjconf/201714009033 | |
Published online | 30 June 2017 |
https://doi.org/10.1051/epjconf/201714009033
Simulation of Bridging at the Static Surface Filtration by CFD-DEM Coupling
1 Institute of Particle Process Engineering, University of Kaiserslautern, 67663 Kaiserslautern, Germany
2 IT for Engineering (it4e) GmbH, 67663 Kaiserslautern, Germany
* David Hund: david.hund@mv.uni-kl.de
Published online: 30 June 2017
To achieve a better understanding of the bridging mechanism at the static surface filtration, simulations of particle deposition at a three-dimensional pore model of a filter were performed. The simulations are used to investigate the total filter resistance, which results from interferences between filter medium, particles and fluid. Thereby a CFD (Computational Fluid Dynamics) method for flow simulation was coupled with a Discrete Element Method (DEM) which calculates the particle interactions. The results show that a built particle bridge influences the flow through an unclosed pore. It was concluded that bridging of open pores is hindered at high velocities of approach caused by increasing percentage of closed pores. Moreover, it could be shown, that the total filter resistance depends on the approaching velocity and shape of particles.
© 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.
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.