Please use this identifier to cite or link to this item: https://doi.org/10.1021/la047970a
DC FieldValue
dc.titleA heterogeneous model for gas transport in carbon molecular sieves
dc.contributor.authorDing, L.P.
dc.contributor.authorYuan, Y.X.
dc.contributor.authorFarooq, S.
dc.contributor.authorBhatia, S.K.
dc.date.accessioned2014-10-09T06:42:28Z
dc.date.available2014-10-09T06:42:28Z
dc.date.issued2005-01-18
dc.identifier.citationDing, L.P., Yuan, Y.X., Farooq, S., Bhatia, S.K. (2005-01-18). A heterogeneous model for gas transport in carbon molecular sieves. Langmuir 21 (2) : 674-681. ScholarBank@NUS Repository. https://doi.org/10.1021/la047970a
dc.identifier.issn07437463
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/88450
dc.description.abstractA dual resistance model with distribution of either barrier or pore diffusional activation energy is proposed in this work for gas transport in carbon molecular sieve (CMS) micropores. This is a novel approach in which the equilibrium is homogeneous, but the kinetics is heterogeneous. The model seems to provide a possible explanation for the concentration dependence of the thermodynamically corrected barrier and pore diffusion coefficients observed in previous studies from this laboratory on gas diffusion in CMS. 1,2 The energy distribution is assumed to follow the gamma distribution function. It is shown that the energy distribution model can fully capture the behavior described by the empirical model established in earlier studies to account for the concentration dependence of thermodynamically corrected barrier and pore diffusion coefficients. A methodology is proposed for extracting energy distribution parameters, and it is further shown that the extracted energy distribution parameters can effectively predict integral uptake and column breakthrough profiles over a wide range of operating pressures.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1021/la047970a
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1021/la047970a
dc.description.sourcetitleLangmuir
dc.description.volume21
dc.description.issue2
dc.description.page674-681
dc.description.codenLANGD
dc.identifier.isiut000226343100027
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