eprintid: 10071
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/00/71
datestamp: 2023-11-09 16:36:42
lastmod: 2023-11-09 16:36:42
status_changed: 2023-11-09 16:30:30
type: article
metadata_visibility: show
creators_name: AbdulKareem, F.A.
creators_name: Mohd. Shariff, A.
creators_name: Ullah, S.
creators_name: See, T.L.
creators_name: Keong, L.K.
creators_name: Mellon, N.
title: Adsorption performance of 5A molecular sieve zeolite in water vapor�binary gas environment: Experimental and modeling evaluation
ispublished: pub
keywords: Carbon dioxide; Gravimetric analysis; Molecular sieves; Neural networks; Reliability analysis; Suspensions (components); Water vapor; Zeolites, Adsorption performance; Artificial neural network models; Binary and ternary mixtures; Chromatographic techniques; Magnetic suspension balance; Model evaluation; Presence of water; Solid adsorbents, Binary mixtures
note: cited By 37
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. © 2018 The Korean Society of Industrial and Engineering Chemistry
date: 2018
publisher: Korean Society of Industrial Engineering Chemistry
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044774605&doi=10.1016%2fj.jiec.2018.03.014&partnerID=40&md5=f53846e8e618093de788a5571cdd21ce
id_number: 10.1016/j.jiec.2018.03.014
full_text_status: none
publication: Journal of Industrial and Engineering Chemistry
volume: 64
pagerange: 173-187
refereed: TRUE
issn: 1226086X
citation:   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.  ISSN 1226086X