Estimation of diffusion parameters in functionalized silicas with modulated porosity - Part II: Pore network modeling

dc.contributor.authorArmatas, G. S.en
dc.contributor.authorPetrakis, D. E.en
dc.contributor.authorPomonis, P. J.en
dc.date.accessioned2015-11-24T16:57:59Z
dc.date.available2015-11-24T16:57:59Z
dc.identifier.issn0021-9673-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10643
dc.rightsDefault Licence-
dc.subjecteffective diffusivityen
dc.subjectporous solidsen
dc.subjectporous network modelen
dc.subject3-dimensional porous networksen
dc.subjectchromatographic columnen
dc.subjectcatalyst particlesen
dc.subjectsize distributionen
dc.subjecttransporten
dc.subjectmediaen
dc.subjectsimulationen
dc.subjectflowen
dc.subjecthydrodemetalationen
dc.subjectdeactivationen
dc.titleEstimation of diffusion parameters in functionalized silicas with modulated porosity - Part II: Pore network modelingen
heal.abstractIn this work, the pore structure of those five (5) silicas SiO-X (see Part I) which have suffered gradual functionalization with functional groups X of increasing length (X = theta, equivalent to Si-H, equivalent to Si-CH2OH, equivalent to Si-(CH2)(3)OH, equivalent to Si-(CH2)(11)CH3) is modeled as a three-dimensional cubic network of cylindrical pores. Those hybrids organic-inorganic SiO2-X samples are characterized by different extent of pore blocking effects. The pores of samples are represented in a 9 x 9 x 9 lattice by the nodes as well the bonds that are interconnected in a so-called dual site-bond model, DSBM, network. The pore network is developed using a Monte Carlo statistical method where the cylindrical pores (nodes and bonds) are randomly assigned into the lattice, until matching of the theoretical results to the experimental data of N-2 adsorption-desorption measurements. Thus, a visual picture of the porous solid is possible. This realistic network is used next in order to study the steady-state gas transport (Knudsen gas-phase and viscous diffusion) properties for the examined materials and how flow processes depend on the morphology of the pore structure. The pore diffusivity D-p and total permeability P of each porous medium is determined based on theoretical calculations and the structural statistical parameters, such as porosity epsilon(p), tortuosity factor tau and connectivity c of pores is discussed with the corresponding experimental data described in Part I of this work. The results indicate clearly that the diffusion model made it possible to predict pore effective diffusivity in these porous media in very good agreement with the corresponding experimental results for all the examined solids (Part I). The pore diffusivity increases significantly as the value of the pore connectivity increases but the transport properties of the network are influenced strongly at lowest connectivity. Also the predicted tortuosity factor is related inversely to the extent of interconnection of pores in these solids, which indicates that the influence of pore branching to the tortuosity factor of the pore network decreases, as connectivity increases. (c) 2005 Elsevier B.V. All rights reserved.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primaryDOI 10.1016/j.chroma.2005.03.091-
heal.identifier.secondary<Go to ISI>://000229192500009-
heal.identifier.secondaryhttp://ac.els-cdn.com/S0021967305005923/1-s2.0-S0021967305005923-main.pdf?_tid=e3c704dea0ac78da4e354ebae27949ea&acdnat=1333035476_3a8338cb483877265d5a34b255983612-
heal.journalNameJournal of Chromatography Aen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2005-
heal.publisherElsevieren
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Χημείαςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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