4.5 Article

Predicting Gas Permeability through Mixed-matrix Membranes Filled with Nanofillers of Different Shapes

期刊

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
卷 47, 期 5, 页码 6167-6179

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s13369-021-05996-8

关键词

Mixed-matrix membranes; Gas permeation models; Membrane morphology; Optimization and fitting; Maxwell-Wagner-Sillar model

资金

  1. Office of Research, Innovation and Commercialization (ORIC), University of Engineering and Technology (UET), Lahore-Pakistan

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Gas permeation through mixed-matrix membranes can be predicted by different analytical models based on membrane structure morphology, with experimental-to-theoretical comparison to evaluate prediction capability and scanning electron microscopy to explore filler particles morphology. Different models fit best for membranes with different filler shapes, with Maxwell-Wagner-Sillar model for spheroid- and cylindroid-shaped filler particles and Cussler model for planar flake-shaped filler particles in hybrid membranes.
Gas permeation through mixed-matrix membranes (MMMs) filled with fillers of non-spherical shapes can be theoretically predicted through different analytical models on the basis of ideal (two-phase) or non-ideal (three-phase) morphology of membrane structure. The predicting capability of different models was evaluated by comparing the estimated carbon dioxide (CO2) permeance through composite membranes against the available experimental permeation data of Ultrason (R)/ZIF-300, poly(ethersulfone)/functionalized-CNTs and Matrimid (R)/graphene oxide hybrid membranes. Experimental-to-theoretical discrepancy in CO2 permeability for composite membranes containing fillers of different shapes was determined by calculating percentage average absolute relative error (AARE%) for each model. General order of data fitting for different models while considering typical values of morphological parameters was found as: Maxwell < Bruggeman < Lewis-Nielsen < Pal < Maxwell-Wagner-Sillar < Cussler having AARE% values of 41.2, 34.4, 35.7, 27.6, 8.0 and zero, respectively. Scanning electron microscopic (SEM) images of composite membranes helped to explore the morphology of incorporated filler particles and to improve the predicting capacity of the assumed models. The Maxwell-Wagner-Sillar model adopted for composite membranes containing spheroid- and cylindroid-shaped filler particles best fitted the experimental data while the Cussler model best fitted for hybrid membranes filled with planar flake-shaped filler particles.

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