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Thickness Effect on CO(2)/N(2) Separation in Double Layer Pebax-1657(®)/PDMS Membranes

The effect of thickness in multilayer thin-film composite membranes on gas permeation has received little attention to date, and the gas permeances of the organic polymer membranes are believed to increase by membrane thinning. Moreover, the performance of defect-free layers with known gas permeabil...

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Detalles Bibliográficos
Autores principales: Selyanchyn, Roman, Ariyoshi, Miho, Fujikawa, Shigenori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6316188/
https://www.ncbi.nlm.nih.gov/pubmed/30513807
http://dx.doi.org/10.3390/membranes8040121
Descripción
Sumario:The effect of thickness in multilayer thin-film composite membranes on gas permeation has received little attention to date, and the gas permeances of the organic polymer membranes are believed to increase by membrane thinning. Moreover, the performance of defect-free layers with known gas permeability can be effectively described using the classical resistance in series models to predict both permeance and selectivity of the composite membrane. In this work, we have investigated the Pebax(®)-MH1657/PDMS double layer membrane as a selective/gutter layer combination that has the potential to achieve sufficient CO(2)/N(2) selectivity and permeance for efficient CO(2) and N(2) separation. CO(2) and N(2) transport through membranes with different thicknesses of two layers has been investigated both experimentally and with the utilization of resistance in series models. Model prediction for permeance/selectivity corresponded perfectly with experimental data for the thicker membranes. Surprisingly, a significant decrease from model predictions was observed when the thickness of the polydimethylsiloxane (PDMS) (gutter layer) became relatively small (below 2 µm thickness). Material properties changed at low thicknesses—surface treatments and influence of porous support are discussed as possible reasons for observed deviations.