The prediction of particle size distribution for the effluent polydisperse particle in staining-dominate deep bed filtration process
- DOI
- 10.2991/iceep-17.2017.76How to use a DOI?
- Keywords
- Particle size distribution, Polydisperse, Deep bed filtration.
- Abstract
A power law relation between the filtration coefficients of straining and flux through small pores based on percolation theory has been reported. It was a monodisperse particle filtration theory, while the actual colloidal suspension is polydisperse particles. In this study, a formula of particle size distribution for the effluent polydisperse particle in staining-dominate deep bed filtration (DBF) process is proposed based on preliminary results of the monodisperse filtration theory. In order to validate this formula, a numerical staining-dominate DBF model is established to obtain particle size distribution for the effluent polydisperse particle, using the parameters of experimental data set to configure the simulation conditions. The numerical simulation is consistent with the predicted results calculated from the formula. It's indicated that the formula applied for the prediction of particle size distribution for the effluent polydisperse particle in staining-dominate DBF process is relatively accurate and effective.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Binbin Ding AU - Chaolin Li AU - Haijian Luo AU - Yaowu Wang PY - 2017/06 DA - 2017/06 TI - The prediction of particle size distribution for the effluent polydisperse particle in staining-dominate deep bed filtration process BT - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017) PB - Atlantis Press SP - 426 EP - 432 SN - 2352-5401 UR - https://doi.org/10.2991/iceep-17.2017.76 DO - 10.2991/iceep-17.2017.76 ID - Ding2017/06 ER -