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Computational analysis of atomic binding energy for organosilicon-low-density polyethylene-coated silica embedded in polyvinylidene fluoride composite membrane for membrane gas absorption

Rosli, Aishah and Stephen Paul, Samuel Anand and Low, Siew Chun (2021) Computational analysis of atomic binding energy for organosilicon-low-density polyethylene-coated silica embedded in polyvinylidene fluoride composite membrane for membrane gas absorption. International Journal of Energy Research, 45 (10). pp. 15372-15388. ISSN 0363-907X

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Official URL: http://dx.doi.org/10.1002/er.6810

Abstract

In an effort to enhance the wetting resistance and chemical stability of membrane contactors, silica nanoparticles (SiNP) have been incorporated into polyvinylidene fluoride (PVDF) membrane. These SiNP have been hydrophobically functionalized with three separate organosilicons (hexamethyldisilane, dimethyldichlorosilane, and polydimethylsiloxane) to produce TS-530, TS-610, and TS-720 SiNP. Then, they were coated with low-density polyethylene (LDPE) before adding them to the membrane casting dope. Using HyperChem, the molecular interaction between SiNP, organosilicons, and LDPE, as well as their aggregation tendency, was predicted using a semi-empirical computational approach (PM3). Both theoretical predictions and experimental results show that TS-610 and TS-720 SiNP have a high propensity to agglomerate, leading to the formation of composite membranes with large macrovoids. The HyperChem analysis, however, also indicates that LDPE/f-SiNP can resist chemical corrosion, and all composite membranes show positive binding energy interactions with amines. This enables the LDPE/f-SiNP membranes to perform better than the neat PVDF membrane with an adequate amine solution, and it remains hydrophobic after prolonged exposure.

Item Type:Article
Uncontrolled Keywords:carbon capture, membrane gas absorption, membrane wetting, semi-empirical calculations, surface coating
Subjects:Q Science > Q Science (General)
T Technology > TP Chemical technology
Divisions:Chemical and Energy Engineering
ID Code:96596
Deposited By: Yanti Mohd Shah
Deposited On:31 Jul 2022 01:24
Last Modified:31 Jul 2022 01:24

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