TY - JOUR AV - none SP - 1010 PB - John Wiley and Sons Inc KW - Alumina; Aluminum oxide; Backpropagation; Carbon dioxide; Chemical industry; Coatings; Gas permeable membranes; Inlet flow; Silica; Sols KW - Artificial neural network modeling; Dip coating; Feed-forward back-propagation neural networks; Gel method; Permselectivities; Silica membrane KW - Neural networks KW - artificial neural network; back propagation; carbon dioxide; experimental study; high temperature; membrane; methane; separation IS - 5 TI - High-temperature CO2 removal from CH4 using silica membrane: experimental and neural network modeling N2 - 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 â?? 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. SN - 21523878 EP - 1026 ID - scholars11278 JF - Greenhouse Gases: Science and Technology VL - 9 Y1 - 2019/// A1 - Ullah, S. A1 - Assiri, M.A. A1 - Al-Sehemi, A.G. A1 - Bustam, M.A. A1 - Abdul Mannan, H. A1 - Abdulkareem, F.A. A1 - Irfan, A. A1 - Saqib, S. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071302455&doi=10.1002%2fghg.1916&partnerID=40&md5=0c6a91b3680d69735790f6974b87e62a N1 - cited By 24 ER -