Analysis of Axial Local Flux Characteristics in Hollow-Fiber Membrane

Abstract:

Based on the characteristics of non-uniform distribution in the fouling of hollow-fiber membrane, the non-uniform distribution of local flux and redistribution with different fiber length (0.6 m、1.2 m、1.6 m) was investigated experimentally. Experiment was conducted under the condition of operating flux 20 L/m²h (20 LMH). The results indicated that the longer fiber length was, the greater difference in local pressure and the more non-uniform the local flux distributed. Under operating mode of critical flux, the flux distribution in the length of 1.6 m membrane fiber is the most non-uniform with the fastest fouling rate. In addition, the distribution of local flux is more uniform for 0.6 m fiber under the operating flux of 16 LMH, which also slow down membrane fouling significantly. Shorter membrane fiber generally exhibited higher uniformity in the local flux distribution and slower development rate of membrane fouling.

• Periodical: Advanced Materials Research (Volume 788)
• Pages: 413-417
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.788.413
• Online since: September 2013
• Authors: Zhao Cui, Jie Wang, Hui Jia, Xiao Hong Dai, Yan Zhang
• Keywords: Fiber Length, Flux Redistribution, Hollow-Fiber Membrane, Local Flux

References

[1] S.H. Yoon, S. Lee, IK.T. Yeom, Experimental verification of pressure drop models inhollow-fiber membrane, J. Membr. Sci., 2 (2008) 7-12.

[2] T. Carroll, N. A. Booker, Axial features in the fouling of hollow-fiber membranes, J. Membr. Sci., 168 (2000) 203-212.

[3] S. Chang, A. G. Fane, The effect of fiber diameter on filtration and flux distribution relevance to submerged hollow-fiber modules, J. Membr. Sci., 184 (2001) 221-231.

DOI: 10.1016/s0376-7388(00)00626-8

[4] S. Chang, A. G. Fane, Modeling and optimizing submerged hollow-fiber membrane modules, AIChE J., 10(2002) 2204-2212.

DOI: 10.1002/aic.690481011

[5] J. Kim, A. D. Francis, Defining critical flux in submerged membranes: Influence of length-distributed flux, J. Membr. Sci., 280 (2006) 752-761.

DOI: 10.1016/j.memsci.2006.02.040

[6] J. Sargolzaei, M. H. Asl, Hedayati Moghaddam A., Membrane permeate flux and rejection factor prediction using intelligent systems, Desalination, 284 (2012) 92-99.

DOI: 10.1016/j.desal.2011.08.041

[7] K. Ch. Yu, The control mechanism research of gas-liquid two-phase flow in separation membrane bioreactor, Tsinghua University, (2003).

[8] S. Buetehorn, L. Utiu, M. Küppers, NMR imaging of local cumulative permeate flux and local cake growth in submerged microfiltration processes, J. Membr. Sci., 371 (2011) 52–64.

DOI: 10.1016/j.memsci.2011.01.018

[9] P. Bacchin, P. Aimar, R.W. Field, Critical and sustainable fluxes: Theory, experiments and applications, J. Membr. Sci., 281 (2006) 42-69.

DOI: 10.1016/j.memsci.2006.04.014

[10] P. Sridang, N. Thongmak, S. Danteravanich, Stability of skim latex suspension and rubber content recovery by microfiltration process: operating conditions and fouling characteristics, Desal. Wat. Treat., 45 (2012) 70-78.

DOI: 10.1080/19443994.2012.692011