Preparation Of Zeolite Membrane And Modeling Dehydration Of Organic Compounds On The Pilot-Scale With The Help Of Artificial Neural Network
Volume 2 - Issue 3, March 2018 Edition
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Nano pore zeolites, Pervaporation, pilot plant; NaA; Membrane; Artificial Neural Network
Nano pore NaA zeolite membranes composed of a continuous intergrowth of NaA zeolite crystals had been synthesized hydrothermally on the surface of a porous tubular support (14 mm outer diameter, 25 cm length). Morphology of the supports subjected to crystallization was characterized by Scanning electron microscopy (SEM). Separation performance of NaA zeolite membranes was studied for water-Ethanol mixtures using pervaporation (PV) in cross flow method. The membranes showed good selectivity towards water in the water- Ethanol mixtures. Water permeates faster because of its preferential adsorption into the nano-pores of the hydrophilic zeolite membrane. The membrane exhibits a hydrophilic behavior, with a high selectivity towards water and a good flux. Thus, the pilot- scale PV plant which produces 5 l/h of solvent (EtOH) at less than 0.2 wt.% of water from 90 wt.% solvent at 75Â°C has been put into pilot operation. The present study considered the amount of water-alcohol separation within the process of pervaporation with the help of Artificial Neural Network modeling.
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