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dc.contributor.author
Gonzo, Elio Emilio  
dc.contributor.author
Parentis, Monica Liliana  
dc.contributor.author
Gottifredi, Juan Carlos Agustin  
dc.date.available
2018-12-21T17:29:30Z  
dc.date.issued
2006-06  
dc.identifier.citation
Gonzo, Elio Emilio; Parentis, Monica Liliana; Gottifredi, Juan Carlos Agustin; Estimating models for predicting effective permeability of mixed matrix membranes; Elsevier Science; Journal of Membrane Science; 277; 1-2; 6-2006; 46-54  
dc.identifier.issn
0376-7388  
dc.identifier.uri
http://hdl.handle.net/11336/66911  
dc.description.abstract
Mixed matrix membranes have become a highly potential unique materials in many engineering application to overcome limitations presented by other products. In this contribution, an improved form of Maxwell's equation (the extended Maxwell equation) based on the hard-sphere model fluid proposed by Chiew and Glandt [Y.C. Chiew, E.D. Glandt, The effect of structure on the conductivity of a dispersion, J. Colloid Interface Sci. 94 (1983) 90-104] is evolved. The resulting equation allows the estimation of the effective permeability of composite membranes as a function of the reduced permeation polarizability and the volume fraction of the filler. This method can be applied to estimate effective permeability of gases and liquids through mixed matrix membranes prepared with different polymer matrix, as continuous phase, and organic (polymer or liquid crystal mixture) or inorganic (zeolites, activated carbons) compounds as filler even at relatively high volume fractions of this compound. A comparison among estimated values of the effective permeability and experimental data reported in the literature generally shows good agreement although there are a number of observations that are not easily explained with any of these models. © 2005 Elsevier B.V. All rights reserved.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Maxwell Model  
dc.subject
Membrane  
dc.subject
Mixed Matrix  
dc.subject
Permeation  
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Selectivity  
dc.subject.classification
Otras Ingeniería Química  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Estimating models for predicting effective permeability of mixed matrix membranes  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2018-12-19T15:07:56Z  
dc.journal.volume
277  
dc.journal.number
1-2  
dc.journal.pagination
46-54  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Gonzo, Elio Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina  
dc.description.fil
Fil: Parentis, Monica Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina  
dc.description.fil
Fil: Gottifredi, Juan Carlos Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina  
dc.journal.title
Journal of Membrane Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.memsci.2005.10.007  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0376738805007349