TY  - JOUR
EP  - 187
KW  - Carbon dioxide; Gravimetric analysis; Molecular sieves; Neural networks; Reliability analysis; Suspensions (components); Water vapor; Zeolites
KW  -  Adsorption performance; Artificial neural network models; Binary and ternary mixtures; Chromatographic techniques; Magnetic suspension balance; Model evaluation; Presence of water; Solid adsorbents
KW  -  Binary mixtures
N2  - 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 vaporâ??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
VL  - 64
JF  - Journal of Industrial and Engineering Chemistry
AV  - none
SN  - 1226086X
TI  - Adsorption performance of 5A molecular sieve zeolite in water vaporâ??binary gas environment: Experimental and modeling evaluation
ID  - scholars10071
A1  - AbdulKareem, F.A.
A1  - Mohd. Shariff, A.
A1  - Ullah, S.
A1  - See, T.L.
A1  - Keong, L.K.
A1  - Mellon, N.
Y1  - 2018///
N1  - cited By 37
SP  - 173
PB  - Korean Society of Industrial Engineering Chemistry
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044774605&doi=10.1016%2fj.jiec.2018.03.014&partnerID=40&md5=f53846e8e618093de788a5571cdd21ce
ER  -