TY  - JOUR
VL  - 134
PB  - John Wiley and Sons Inc.
JF  - Journal of Applied Polymer Science
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010377906&doi=10.1002%2fapp.44761&partnerID=40&md5=19a82e7c3aa135b93692ac4e50d5e94c
A1  - Mannan, H.A.
A1  - Mukhtar, H.
A1  - Murugesan, T.
A1  - Man, Z.
A1  - Bustam, M.A.
A1  - Shaharun, M.S.
A1  - Abu Bakar, M.Z.
N1  - cited By 12
ID  - scholars8670
N2  - Predicting the gas permeability of ionic liquid-polymeric membranes (ILPM) is of great importance for the design of efficient gas separation membrane materials. The available models for the prediction of CO2 gas permeability through ionic liquid-polymeric membranes were analyzed using the literature data. Maxwell model was selected for modification due to relatively accurate prediction capability. The Maxwell model was modified for ionic liquid-polymeric membranes by incorporating model parameter k for the effectiveness of volume fraction of dispersed phase. The established methodology was tested for different ionic liquid-polymeric membrane systems for validation. A satisfactory agreement was observed for predicted and experimental permeability by using the current approach. This method can be used for the prediction of CO2 gas permeability through ionic liquid-polymeric membranes. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 44761. © 2017 Wiley Periodicals, Inc.
SN  - 00218995
Y1  - 2017///
KW  - Carbon dioxide; Forecasting; Gas permeability; Gases; Ionic liquids; Liquids; Mechanical permeability; Membranes; Models; Polymeric membranes; Polymers
KW  -  Accurate prediction; Dispersed phase; Gas separation membrane; Liquid polymers; Literature data; Maxwell models; Model parameters
KW  -  Gas permeable membranes
IS  - 17
TI  - Prediction of CO2 gas permeability behavior of ionic liquidâ??polymer membranes (ILPM)
ER  -