Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)

The prediction of particle size distribution for the effluent polydisperse particle in staining-dominate deep bed filtration process

Authors
Binbin Ding, Chaolin Li, Haijian Luo, Yaowu Wang
Corresponding Author
Binbin Ding
Available Online June 2017.
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/).

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Volume Title
Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
Series
Advances in Engineering Research
Publication Date
June 2017
ISBN
10.2991/iceep-17.2017.76
ISSN
2352-5401
DOI
10.2991/iceep-17.2017.76How to use a DOI?
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  -