Please use this identifier to cite or link to this item: https://doi.org/10.1002/aic.10032
Title: Prediction of Binary Gas Diffusion in Carbon Molecular Sieves at High Pressure
Authors: Qinglin, H.
Farooq, S. 
Karimi, I.A. 
Keywords: Adsorption/gas
Carbon molecular sieves
Diffusion (microporous)
Issue Date: Feb-2004
Source: Qinglin, H.,Farooq, S.,Karimi, I.A. (2004-02). Prediction of Binary Gas Diffusion in Carbon Molecular Sieves at High Pressure. AIChE Journal 50 (2) : 351-367. ScholarBank@NUS Repository. https://doi.org/10.1002/aic.10032
Abstract: A dual-resistance model, in which a barrier resistance confined at the micropore mouth is assumed to act in series with pore diffusional resistance distributed in the micropore interior, has been proposed for multicomponent transport of gases in carbon molecular sieves (CMS). Excellent predictive power of the model has been thoroughly validated by means of extensive unary/binary integral uptake and breakthrough measurements involving large pressure steps on Takeda and Bergbau Forschung (BF) CMS samples. Quantitative agreement between the experimental and predicted results is truly remarkable considering the fact that all the predictions are strictly based on independently measured single-component equilibrium and kinetic parameters. Impact of two mixture isotherms, namely ideal adsorbed solution (IAS) theory and extended Langmuir (E-L) model, on mixture uptakes has also been investigated. This study undeniably establishes the following: (1) effectiveness of a dual-resistance approach for gas transport in CMS micropores, and (2) much stronger concentration dependence of the transport parameters than that predicted from the use of a chemical potential gradient as the driving force for diffusion with constant intrinsic mobility. © 2004 American Institute of Chemical Engineers.
Source Title: AIChE Journal
URI: http://scholarbank.nus.edu.sg/handle/10635/64447
ISSN: 00011541
DOI: 10.1002/aic.10032
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

18
checked on Dec 12, 2017

Page view(s)

46
checked on Dec 8, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.