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Adsorption performance of 5A molecular sieve zeolite in water vapor-binary gas environment: Experimental and modeling evaluation

Abdul Kareem, Firas A. and Mohd. Shariff, Azmi and Ullah, Sami and See, Tan Lian and Keong, Lau Kok and Mellon, Nurhayati (2018) Adsorption performance of 5A molecular sieve zeolite in water vapor-binary gas environment: Experimental and modeling evaluation. Journal of Industrial and Engineering Chemistry, 64 . pp. 173-187. ISSN 1226-086X

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Official URL: http://dx.doi.org/10.1016/j.jiec.2018.03.014

Abstract

In this work GERG2008 EoS was incorporated in a volumetric-gravimetric-chromatographic technique. The system utilized to measure in-mixtures components experimental selective isotherms individually, with the ability to analyze water vapor–gas components in the same mixture. 5A zeolite was used as a solid adsorbent for binary and ternary CO2/CH4/H2O mixtures adsorption at 50 °C and 70 °C temperature up to 10 bar pressure. Artificial neural network (ANN) modeling was applied to predict ternary and binary gaseous with the presence of water mixtures. This study delivered better clarification in the field of selectivity and reliability in the term of multicomponent and dual phase mixtures analysis.

Item Type:Article
Uncontrolled Keywords:Artificial neural network (ANN), Binary and ternary mixtures
Subjects:T Technology > T Technology (General)
Divisions:Malaysia-Japan International Institute of Technology
ID Code:84227
Deposited By: Widya Wahid
Deposited On:16 Dec 2019 03:15
Last Modified:16 Dec 2019 03:15

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