Korean Journal of Chemical Engineering, ( ISI ), Volume (33), No (11), Year (2016-11) , Pages (3194-3202)

Title : ( Modeling of gas permeation through mixed matrix membranes using a comprehensive computational method )

Authors: Majid Pakizeh , salman ofoghi , Seyed Heydar Rajaee shooshtari ,

Citation: BibTeX | EndNote

Abstract

Three different morphologies can occur at the interface of inorganic and polymeric phases in mixed matrix membranes (MMMs). These morphologies are characterized by their different parameters such as partial pore blockage factor (α), polymer chain rigidification factor (β), and thickness of rigidified layer or void region. In this study, the morphology of three MMMs has been evaluated using a comprehensive computational method. The average absolute relative error (%AARE) is used as a criterion for optimizing three various MMM morphological parameters. According to the obtained optimum parameters, it was confirmed that two MMMs of C60/Matrimid and PVAc-Zeolite 4A have pore blockage and polymer chain rigidified defects. The results show that the morphology of ZIF-8/6FDA-DAM can be considered as an ideal morphology. After obtaining the morphological parameters, the permeability of the studied MMMs was predicted based on the modified Maxwell model and good agreement was observed between the calculated value and the experimental data.

Keywords

, Mixed Matrix Membranes, Gas Permeability Prediction, Morphological Parameters, Optimization
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@article{paperid:1059104,
author = {Pakizeh, Majid and Ofoghi, Salman and Rajaee Shooshtari, Seyed Heydar},
title = {Modeling of gas permeation through mixed matrix membranes using a comprehensive computational method},
journal = {Korean Journal of Chemical Engineering},
year = {2016},
volume = {33},
number = {11},
month = {November},
issn = {0256-1115},
pages = {3194--3202},
numpages = {8},
keywords = {Mixed Matrix Membranes; Gas Permeability Prediction; Morphological Parameters; Optimization},
}

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%0 Journal Article
%T Modeling of gas permeation through mixed matrix membranes using a comprehensive computational method
%A Pakizeh, Majid
%A Ofoghi, Salman
%A Rajaee Shooshtari, Seyed Heydar
%J Korean Journal of Chemical Engineering
%@ 0256-1115
%D 2016

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