relation: https://khub.utp.edu.my/scholars/11278/
title: High-temperature CO2 removal from CH4 using silica membrane: experimental and neural network modeling
creator: Ullah, S.
creator: Assiri, M.A.
creator: Al-Sehemi, A.G.
creator: Bustam, M.A.
creator: Abdul Mannan, H.
creator: Abdulkareem, F.A.
creator: Irfan, A.
creator: Saqib, S.
description: Inorganic membranes can operate under harsh conditions. However, successful synthesis of inorganic membranes is still challenging, and its performance depends on many factors. This work reports the effect of dip-coating duration, inlet pressure, and inlet flow rate on the flux, permeability, and selectivity of silica membranes. A silica membrane was prepared by the deposition of silica sol onto porous alumina support. The permeability test was conducted at 100 °C using a single gas of CO2 and CH4. The highest flux was observed at the maximum inlet pressure and inlet flow rate for the membrane prepared at the minimum dip-coating duration. The neural network modeling of the membrane predicted permeabilities showed a considerably high validity regression (R � 0.99) of the predicted data linked to the experimental sets. The separation factor (α) was the highest at the maximum dip-coating duration. The synthesized silica membrane has potential for CO2/CH4 separation under harsh operating conditions. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.
publisher: John Wiley and Sons Inc
date: 2019
type: Article
type: PeerReviewed
identifier:   Ullah, S. and Assiri, M.A. and Al-Sehemi, A.G. and Bustam, M.A. and Abdul Mannan, H. and Abdulkareem, F.A. and Irfan, A. and Saqib, S.  (2019) High-temperature CO2 removal from CH4 using silica membrane: experimental and neural network modeling.  Greenhouse Gases: Science and Technology, 9 (5).  pp. 1010-1026.  ISSN 21523878     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071302455&doi=10.1002%2fghg.1916&partnerID=40&md5=0c6a91b3680d69735790f6974b87e62a
relation: 10.1002/ghg.1916
identifier: 10.1002/ghg.1916