Prediction of gas permeability in mixed matrix membranes using theoretical models

This paper extensively discussed the gaspermeabilities in MMM using theoreticalmodels and the results were compared with the published experimental data. The models considered are: Maxwell model modified Maxwell model, Lewis–Nielsen model, modified Lewis–Nielsen model and Felske model. The selected...

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Main Authors: Hashemifard, S. A., Ismail, Ahmad Fauzi, Matsuura, T.
Format: Article
Published: Elsevier B.V. 2010
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Online Access:http://eprints.utm.my/id/eprint/26615/
http://dx.doi.org/10.1016/j.memsci.2009.10.005
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spelling my.utm.266152018-11-09T08:09:26Z http://eprints.utm.my/id/eprint/26615/ Prediction of gas permeability in mixed matrix membranes using theoretical models Hashemifard, S. A. Ismail, Ahmad Fauzi Matsuura, T. TP Chemical technology This paper extensively discussed the gaspermeabilities in MMM using theoreticalmodels and the results were compared with the published experimental data. The models considered are: Maxwell model modified Maxwell model, Lewis–Nielsen model, modified Lewis–Nielsen model and Felske model. The selected models were compared based on published experimental data (168 data point) of MMMs, inorganics including zeolites NaA and NaX and neat polymer permeabilities. The results generated based on standard deviation, s and absolute average relative error, %AARE for the models studied show a decreasing order: Lewis–Nielsen model > Maxwell model > modified Lewis–Nielsen model> modified Maxwell model > Felske model. This indicates that the most reliable predictive model in predicting gaspermeability in MMM is Felske model. Elsevier B.V. 2010 Article PeerReviewed Hashemifard, S. A. and Ismail, Ahmad Fauzi and Matsuura, T. (2010) Prediction of gas permeability in mixed matrix membranes using theoretical models. Journal Of Membrane Science, 347 (1-2). 53 -61. ISSN 0376-7388 http://dx.doi.org/10.1016/j.memsci.2009.10.005 DOI:10.1016/j.memsci.2009.10.005
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Hashemifard, S. A.
Ismail, Ahmad Fauzi
Matsuura, T.
Prediction of gas permeability in mixed matrix membranes using theoretical models
description This paper extensively discussed the gaspermeabilities in MMM using theoreticalmodels and the results were compared with the published experimental data. The models considered are: Maxwell model modified Maxwell model, Lewis–Nielsen model, modified Lewis–Nielsen model and Felske model. The selected models were compared based on published experimental data (168 data point) of MMMs, inorganics including zeolites NaA and NaX and neat polymer permeabilities. The results generated based on standard deviation, s and absolute average relative error, %AARE for the models studied show a decreasing order: Lewis–Nielsen model > Maxwell model > modified Lewis–Nielsen model> modified Maxwell model > Felske model. This indicates that the most reliable predictive model in predicting gaspermeability in MMM is Felske model.
format Article
author Hashemifard, S. A.
Ismail, Ahmad Fauzi
Matsuura, T.
author_facet Hashemifard, S. A.
Ismail, Ahmad Fauzi
Matsuura, T.
author_sort Hashemifard, S. A.
title Prediction of gas permeability in mixed matrix membranes using theoretical models
title_short Prediction of gas permeability in mixed matrix membranes using theoretical models
title_full Prediction of gas permeability in mixed matrix membranes using theoretical models
title_fullStr Prediction of gas permeability in mixed matrix membranes using theoretical models
title_full_unstemmed Prediction of gas permeability in mixed matrix membranes using theoretical models
title_sort prediction of gas permeability in mixed matrix membranes using theoretical models
publisher Elsevier B.V.
publishDate 2010
url http://eprints.utm.my/id/eprint/26615/
http://dx.doi.org/10.1016/j.memsci.2009.10.005
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