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Defect control for large-scale thin-film composite membrane and its bench-scale demonstration
- Source :
- Journal of Membrane Science. 566:374-382
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Since the inception of membrane-based CO2 separation technology in the late 1970s, a large number of material studies have been performed to improve the material properties of membrane materials and tremendous progress has been made with regard to CO2 separation to increase the trade-off between permeability and selectivity, known as the “Robeson upper bound.” In membrane science, material properties and membrane properties are related but completely different, especially in thin-film composite (TFC) membranes. Compared to the large number of material studies, few studies have been performed on membrane properties, and very few membranes have been successfully commercialized because an extremely thin selective layer is required in CO2/N2 separation membranes for high CO2 permeance; however, defects are easily generated, deteriorating gas transport properties on a large-scale. In this study, we theoretically analyzed the effect of defects on the gas transport properties of a TFC membrane and introduced a method to control defects during the preparation of large-scale membranes. This work will provide a facile and practical approach to preparing TFC membranes and will be helpful toward extending material studies to real membrane demonstrations.
- Subjects :
- Materials science
Composite number
Filtration and Separation
Nanotechnology
02 engineering and technology
Permeance
Separation technology
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Biochemistry
0104 chemical sciences
Membrane
Thin-film composite membrane
Permeability (electromagnetism)
Bench scale
General Materials Science
Physical and Theoretical Chemistry
0210 nano-technology
Material properties
Subjects
Details
- ISSN :
- 03767388
- Volume :
- 566
- Database :
- OpenAIRE
- Journal :
- Journal of Membrane Science
- Accession number :
- edsair.doi...........c6a40d20ff14abe53b57f603144245a3
- Full Text :
- https://doi.org/10.1016/j.memsci.2018.09.019