Interpretation of Particle Fouling in Submerged Membrane Filtration by Blocking Models

Kuo-Jen Hwang; Fung-Fu Chen

doi:10.6180/jase.2009.12.1.02

Interpretation of Particle Fouling in Submerged Membrane Filtration by Blocking Models

Kuo-Jen Hwang This email address is being protected from spambots. You need JavaScript enabled to view it.¹ and Fung-Fu Chen¹

¹Department of Chemical and Materials Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.

Received: November 21, 2007
Accepted: October 22, 2008
Publication Date: March 1, 2009

Download Citation: ||https://doi.org/10.6180/jase.2009.12.1.02

ABSTRACT

The particle fouling in a submerged membrane filtration system is analyzed by use of membrane blocking models. Two kinds of ceramic membranes made of ZrO₂-TiO₂, K-04 and K-06, are used in experiments. Their mean pore sizes on the outer surfaces are 8 and 5 µm, respectively. The values of blocking index under various filtration pressures are calculated and discussed. At the initial period of a filtration, the membrane internal blocking is dominant, and the blocking index decreases quickly. The index then suddenly drops to zero at a critical condition and keeps invariably thereafter. The boundary between membrane blocking and particle bridging conditions can be grasped by this blocking index analysis. Membrane blocking occurs only under higher filtration flux or less particle accumulation, while a filter cake may be formed to the contrary conditions. To compare the filtration performances of used membranes, membrane K-04 results in more severe membrane blocking at the initial period of filtration because of more large nominal pores. However, more particles can be continuously held up in the large pores of membrane K-06 due to a little wider pore size distribution and its higher internal porosity. This study provides a useful method to understand the variation of each filtration resistance source during filtration. An increase in filtration pressure leads both resistances due to membrane blocking and cake formation to be increased, as a result, causes to a decrease in the filtration flux. The agreement between calculated filtration resistances and experimental data demonstrates the reliability of the proposed method.

Keywords: Membrane Filtration, Particle Fouling, Microfiltration, Blocking Models, Filtration Resistance

REFERENCES

[1] Cheryan, M., Ultrafiltration and Microfiltration Handbook, pp. 113130, Technomic Publishing Co., Pennsylvania, USA (1998).
[2] Belfort, G., Davis, R. H. and Zydney, A. L., “The Behavior of Suspensions and Macromolecular Solutions in Crossflow Microfiltration,” J. Membr. Sci., Vol. 96, pp. 158 (1994).
[3] Lu, W. M. and Hwang, K. J., “Cake Formation in 2-D Cross-Flow Filtration,” A.I.Ch.E. J., Vol. 41, pp. 14431455 (1995).
[4] Hermia, J., “Constant Pressure Blocking Filtration Law: Application to Power-Law Non-Newtonian Fluid,” Trans. Inst. Chem. Eng., Vol. 60, pp. 183187 (1982).
[5] Ho, C. C. and Zydney, A. L., “Effect of Membrane Morphology on the Initial Rate of Protein Fouling during Microfiltration,” J. Membr. Sci., Vol. 155, pp. 261275 (1999).
[6] Hwang, K. J. and Lin, T. T., “Effect of Morphology of Polymeric Membrane on the Performance of CrossFlow Microfiltration,” J. Membr. Sci., Vol. 199, pp. 4152 (2002).
[7] Iritani, E., Katagiri, N., Sugiyama, Y. and Yagishita, K., “Analysis of Flux Decline Behaviors in Filtration of Very Dilute Suspensions,” A.I.Ch.E. J., Vol. 53, pp. 22752283 (2007).
[8] Ho, C. C. and Zydney, A. L., “A Combined Pore Blockage and Cake Filtration Model for Protein Fouling during Microfiltration,” J. Colloid Interface Sci., Vol. 232, pp. 389399 (2000).
[9] Hwang, K. J., Liao, C. Y. and Tung, K. L., “Analysis of Particle Fouling during Microfiltration by Use of Blocking Models,” J. Membr. Sci., Vol. 287, pp. 287 293 (2007).