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Modelling in mixed matrix membranes for gas separation.

Authors :
Rafiq, Sikander
Maulud, Abdulhalim
Man, Zakaria
Mutalib, Mohamed Ibrahim Abdul
Ahmad, Faizan
Khan, Asad Ullah
Khan, Asim Laeeq
Ghauri, Moinuddin
Muhammad, Nawshad
Source :
Canadian Journal of Chemical Engineering; Jan2015, Vol. 93 Issue 1, p88-95, 8p
Publication Year :
2015

Abstract

Various gas permeation models including Maxwell model, Bruggeman model, Lewis-Nielson model and Pal model were compared via a modelling approach with the relative permeance of CO<subscript>2</subscript> against published experimental data on silica filled polysulfone/polyimide (PSF/PI) mixed matrix membranes (MMMs). However, none of the tested models were able to predict the data with good accurately. A closer look at the cross-sectional image by scanning electron microscopy (SEM) indicated that the fillers were actually prolate ellipsoids dispersed within the matrix. Maxwell-Wagner-Sillar model was then employed to investigate the prolate effect and it was observed that the optimization curves of maximum packing ( φ<subscript>m</subscript>) and shape factor (n) showed least deviations. The percentage average absolute relative error (AARE %) value for fitted shape factor (n<subscript>f</subscript>) was found to be in the range of 1.12-2.17 at 2-10 bar pressure which showed its robustness. A further evaluation from SEM image showed that the shape factor along z-direction (n<subscript>z</subscript>) displayed a minimum deviation of 17.52 % for prolates at 0.102 ± 0.01. By using n<subscript>z</subscript> as upper limit and estimated shape factor n<subscript>e</subscript> through generalization, the error was reduced to 6.01 %. The AAR % deviation was found in the order of n<subscript>f</subscript> <n<subscript>e</subscript> < n<subscript>z,</subscript>which indicated the importance of shape factor parameter for estimating true CO<subscript>2</subscript> permeance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00084034
Volume :
93
Issue :
1
Database :
Complementary Index
Journal :
Canadian Journal of Chemical Engineering
Publication Type :
Academic Journal
Accession number :
99778328
Full Text :
https://doi.org/10.1002/cjce.22111