eprintid: 10701
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/07/01
datestamp: 2023-11-09 16:37:19
lastmod: 2023-11-09 16:37:19
status_changed: 2023-11-09 16:32:00
type: article
metadata_visibility: show
creators_name: Mubashir, M.
creators_name: Fong, Y.Y.
creators_name: Leng, C.T.
creators_name: Keong, L.K.
title: Prediction of CO 2 permeability in NH 2 -MIL-53(Al)/cellulose acetate mixed matrix membranes using theoretical models
ispublished: pub
note: cited By 33
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. © 2018, Penerbit UTHM.
date: 2018
publisher: Penerbit UTHM
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059459025&doi=10.30880%2fijie.2018.10.05.026&partnerID=40&md5=34b26cc7b8ad002d425a9cebb53e0423
id_number: 10.30880/ijie.2018.10.05.026
full_text_status: none
publication: International Journal of Integrated Engineering
volume: 10
number: 5
pagerange: 176-180
refereed: TRUE
issn: 2229838X
citation:   Mubashir, M. and Fong, Y.Y. and Leng, C.T. and Keong, L.K.  (2018) Prediction of CO 2 permeability in NH 2 -MIL-53(Al)/cellulose acetate mixed matrix membranes using theoretical models.  International Journal of Integrated Engineering, 10 (5).  pp. 176-180.  ISSN 2229838X