Modelling in mixed matrix membranes for gas separation

Hdl Handle:
http://hdl.handle.net/10149/601179
Title:
Modelling in mixed matrix membranes for gas separation
Authors:
Rafiq, S. (Sikander); Maulud, A. (Abdulhalim); Man, Z. (Zakaria); Mutalib, M. I. A. (Mohamed Ibrahim Abdul); Ahmad, F. (Faizan); Khan, A. U. (Asad Ullah); Khan, A. L. (Asim Laeeq); Ghauri, M. (Moinuddin); Muhammad, N. (Nawshad)
Affiliation:
Teesside University. Technology Futures Institute
Citation:
Rafiq, S., Maulud, A., Man, Z., Mutalib, M. I. A., Ahmad, F., Khan, A. U., Khan, A. L., Ghauri, M., Muhammad, N. (2014) 'Modelling in mixed matrix membranes for gas separation' The Canadian Journal of Chemical Engineering; Online First 14 Nov 2014 : DOI: 10.1002/cjce.22111
Publisher:
Wiley
Journal:
The Canadian Journal of Chemical Engineering
Issue Date:
14-Nov-2014
URI:
http://hdl.handle.net/10149/601179
DOI:
10.1002/cjce.22111
Additional Links:
http://doi.wiley.com/10.1002/cjce.22111
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.
Type:
Article
Keywords:
polysulfone; polyimide; silica nano particles; particle geometry; mixed matrix membranes
ISSN:
0008-4034
Rights:
Following 12 month embargo author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo [Accessed: 11/03/2016]

Full metadata record

DC FieldValue Language
dc.contributor.authorRafiq, S. (Sikander)en
dc.contributor.authorMaulud, A. (Abdulhalim)en
dc.contributor.authorMan, Z. (Zakaria)en
dc.contributor.authorMutalib, M. I. A. (Mohamed Ibrahim Abdul)en
dc.contributor.authorAhmad, F. (Faizan)en
dc.contributor.authorKhan, A. U. (Asad Ullah)en
dc.contributor.authorKhan, A. L. (Asim Laeeq)en
dc.contributor.authorGhauri, M. (Moinuddin)en
dc.contributor.authorMuhammad, N. (Nawshad)en
dc.date.accessioned2016-03-11T12:50:00Zen
dc.date.available2016-03-11T12:50:00Zen
dc.date.issued2014-11-14en
dc.identifier.citationThe Canadian Journal of Chemical Engineering; 93 (1): 88-95en
dc.identifier.issn0008-4034en
dc.identifier.doi10.1002/cjce.22111en
dc.identifier.urihttp://hdl.handle.net/10149/601179en
dc.description.abstractVarious 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.en
dc.publisherWileyen
dc.relation.urlhttp://doi.wiley.com/10.1002/cjce.22111en
dc.rightsFollowing 12 month embargo author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo [Accessed: 11/03/2016]en
dc.subjectpolysulfoneen
dc.subjectpolyimideen
dc.subjectsilica nano particlesen
dc.subjectparticle geometryen
dc.subjectmixed matrix membranesen
dc.titleModelling in mixed matrix membranes for gas separationen
dc.typeArticleen
dc.contributor.departmentTeesside University. Technology Futures Instituteen
dc.identifier.journalThe Canadian Journal of Chemical Engineeringen
or.citation.harvardRafiq, S., Maulud, A., Man, Z., Mutalib, M. I. A., Ahmad, F., Khan, A. U., Khan, A. L., Ghauri, M., Muhammad, N. (2014) 'Modelling in mixed matrix membranes for gas separation' The Canadian Journal of Chemical Engineering; Online First 14 Nov 2014 : DOI: 10.1002/cjce.22111en
dc.contributor.institutionDepartment of Chemical Engineering; Norwegian University of Science and Technology (NTNU); NO-7491 Trondheim Norwayen
dc.contributor.institutionDepartment of Chemical Engineering; Universiti Teknologi PETRONAS (UTP); 31750 Tronoh Perak-Malaysiaen
dc.contributor.institutionDepartment of Chemical Engineering; Universiti Teknologi PETRONAS (UTP); 31750 Tronoh Perak-Malaysiaen
dc.contributor.institutionDepartment of Chemical Engineering; Universiti Teknologi PETRONAS (UTP); 31750 Tronoh Perak-Malaysiaen
dc.contributor.institutionDepartment of Chemical Engineering; COMSATS Institute of Information Technology; Lahore Campus- Pakistanen
dc.contributor.institutionDepartment of Chemical Engineering; COMSATS Institute of Information Technology; Lahore Campus- Pakistanen
dc.contributor.institutionDepartment of Chemical Engineering; COMSATS Institute of Information Technology; Lahore Campus- Pakistanen
dc.contributor.institutionDepartment of Chemical Engineering; COMSATS Institute of Information Technology; Lahore Campus- Pakistanen
dc.contributor.institutionInterdisciplinary Research Center in Biomedical materials; COMSATS Institute of Information Technology; Lahore Pakistanen
dc.embargo12 monthsen
dc.date.accepted2014-03-04en
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