Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation
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...
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Korean Society of Industrial Engineering Chemistry
2018
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my.utp.eprints.205742018-07-23T05:11:34Z Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation AbdulKareem, F.A. Mohd. Shariff, A. Ullah, S. See, T.L. Keong, L.K. Mellon, N. 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. © 2018 The Korean Society of Industrial and Engineering Chemistry Korean Society of Industrial Engineering Chemistry 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044774605&doi=10.1016%2fj.jiec.2018.03.014&partnerID=40&md5=f53846e8e618093de788a5571cdd21ce AbdulKareem, F.A. and Mohd. Shariff, A. and Ullah, S. and See, T.L. and Keong, L.K. and Mellon, N. (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. http://eprints.utp.edu.my/20574/ |
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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. © 2018 The Korean Society of Industrial and Engineering Chemistry |
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Article |
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AbdulKareem, F.A. Mohd. Shariff, A. Ullah, S. See, T.L. Keong, L.K. Mellon, N. |
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AbdulKareem, F.A. Mohd. Shariff, A. Ullah, S. See, T.L. Keong, L.K. Mellon, N. Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation |
author_facet |
AbdulKareem, F.A. Mohd. Shariff, A. Ullah, S. See, T.L. Keong, L.K. Mellon, N. |
author_sort |
AbdulKareem, F.A. |
title |
Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation |
title_short |
Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation |
title_full |
Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation |
title_fullStr |
Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation |
title_full_unstemmed |
Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation |
title_sort |
adsorption performance of 5a molecular sieve zeolite in water vapor�binary gas environment: experimental and modeling evaluation |
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Korean Society of Industrial Engineering Chemistry |
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2018 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044774605&doi=10.1016%2fj.jiec.2018.03.014&partnerID=40&md5=f53846e8e618093de788a5571cdd21ce http://eprints.utp.edu.my/20574/ |
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