Prediction of CO 2 permeability in NH 2 -MIL-53(Al)/cellulose acetate mixed matrix membranes using theoretical models

Muhammad Mubashir, Yeong Yin Fong, Chew Thiam Leng, Lau Kok Keong

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Estimation of CO 2 permeability of mixed matrix membranes (MMMs) using models has importance for the design of membrane separation system. In the current article, the previously reported models were used for the calculations of CO 2 permeability through new type of MMMs, NH 2 -MIL-53(Al)/CA. It was found that modified Maxwell model demonstrated the absolute average error (AARE %) of 1.66%, which is lower than the AARE% obtained from the other theoretical models. Besides, the results also showed that AARE% of models for the prediction of CO 2 permeability was in the order of modified Maxwell model < Lewis-Nielsen model < Fleski model < Bruggeman model < Pal model < modified Fleski model < Maxwell model. Therefore, it can be concluded that modified Maxwell model is more accurate compared to other theoretical models for the prediction of CO 2 permeability through NH 2 -MIL-53(Al)/CA MMMs.
Original languageEnglish (US)
Pages (from-to)176-180
Number of pages5
JournalInternational Journal of Integrated Engineering
Volume10
Issue number5
DOIs
StatePublished - Jan 1 2018
Externally publishedYes

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Generated from Scopus record by KAUST IRTS on 2023-09-20

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