Modelling in mixed matrix membranes for gas separation

Sikander Rafiq, Abdulhalim Maulud, Zakaria Man, Mohamed Ibrahim Abdul Mutalib, Faizan Ahmad, Asad Ullah Khan, Asim Laeeq Khan, Moinuddin Ghauri, Nawshad Muhammad

Research output: Contribution to journalArticleResearchpeer-review

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 CO2 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 (φm) and shape factor (n) showed least deviations. The percentage average absolute relative error (AARE %) value for fitted shape factor (nf) 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 (nz) displayed a minimum deviation of 17.52 % for prolates at 0.102 ± 0.01. By using nz as upper limit and estimated shape factor ne through generalization, the error was reduced to 6.01 %. The AAR % deviation was found in the order of nf <ne < nz,which indicated the importance of shape factor parameter for estimating true CO2 permeance.
Original languageEnglish
Pages (from-to)-
JournalThe Canadian Journal of Chemical Engineering
DOIs
Publication statusPublished - 14 Nov 2014

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Gases
Membranes
Phosmet
Scanning electron microscopy
Polysulfones
Polyimides
Permeation
Silicon Dioxide
Fillers
Silica

Cite this

Rafiq, S., Maulud, A., Man, Z., Mutalib, M. I. A., Ahmad, F., Khan, A. U., ... Muhammad, N. (2014). Modelling in mixed matrix membranes for gas separation. The Canadian Journal of Chemical Engineering, -. https://doi.org/10.1002/cjce.22111
Rafiq, Sikander ; Maulud, Abdulhalim ; Man, Zakaria ; Mutalib, Mohamed Ibrahim Abdul ; Ahmad, Faizan ; Khan, Asad Ullah ; Khan, Asim Laeeq ; Ghauri, Moinuddin ; Muhammad, Nawshad. / Modelling in mixed matrix membranes for gas separation. In: The Canadian Journal of Chemical Engineering. 2014 ; pp. -.
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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 CO2 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 (φm) and shape factor (n) showed least deviations. The percentage average absolute relative error (AARE {\%}) value for fitted shape factor (nf) 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 (nz) displayed a minimum deviation of 17.52 {\%} for prolates at 0.102 ± 0.01. By using nz as upper limit and estimated shape factor ne through generalization, the error was reduced to 6.01 {\%}. The AAR {\%} deviation was found in the order of nf <ne < nz,which indicated the importance of shape factor parameter for estimating true CO2 permeance.",
author = "Sikander Rafiq and Abdulhalim Maulud and Zakaria Man and Mutalib, {Mohamed Ibrahim Abdul} and Faizan Ahmad and Khan, {Asad Ullah} and Khan, {Asim Laeeq} and Moinuddin Ghauri and Nawshad Muhammad",
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Rafiq, S, Maulud, A, Man, Z, Mutalib, MIA, Ahmad, F, Khan, AU, Khan, AL, Ghauri, M & Muhammad, N 2014, 'Modelling in mixed matrix membranes for gas separation', The Canadian Journal of Chemical Engineering, pp. -. https://doi.org/10.1002/cjce.22111

Modelling in mixed matrix membranes for gas separation. / Rafiq, Sikander; Maulud, Abdulhalim; Man, Zakaria; Mutalib, Mohamed Ibrahim Abdul; Ahmad, Faizan; Khan, Asad Ullah; Khan, Asim Laeeq; Ghauri, Moinuddin; Muhammad, Nawshad.

In: The Canadian Journal of Chemical Engineering, 14.11.2014, p. -.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Modelling in mixed matrix membranes for gas separation

AU - Rafiq, Sikander

AU - Maulud, Abdulhalim

AU - Man, Zakaria

AU - Mutalib, Mohamed Ibrahim Abdul

AU - Ahmad, Faizan

AU - Khan, Asad Ullah

AU - Khan, Asim Laeeq

AU - Ghauri, Moinuddin

AU - Muhammad, Nawshad

PY - 2014/11/14

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N2 - 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 CO2 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 (φm) and shape factor (n) showed least deviations. The percentage average absolute relative error (AARE %) value for fitted shape factor (nf) 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 (nz) displayed a minimum deviation of 17.52 % for prolates at 0.102 ± 0.01. By using nz as upper limit and estimated shape factor ne through generalization, the error was reduced to 6.01 %. The AAR % deviation was found in the order of nf <ne < nz,which indicated the importance of shape factor parameter for estimating true CO2 permeance.

AB - 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 CO2 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 (φm) and shape factor (n) showed least deviations. The percentage average absolute relative error (AARE %) value for fitted shape factor (nf) 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 (nz) displayed a minimum deviation of 17.52 % for prolates at 0.102 ± 0.01. By using nz as upper limit and estimated shape factor ne through generalization, the error was reduced to 6.01 %. The AAR % deviation was found in the order of nf <ne < nz,which indicated the importance of shape factor parameter for estimating true CO2 permeance.

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JF - Canadian Journal of Chemical Engineering

SN - 0008-4034

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