Estimating models for predicting effective permeability of mixed matrix membranes

Autores
Gonzo, Elio Emilio; Parentis, Monica Liliana; Gottifredi, Juan Carlos Agustin
Año de publicación
2006
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
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
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
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
Materia
Maxwell Model
Membrane
Mixed Matrix
Permeation
Selectivity
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/66911
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Estimating models for predicting effective permeability of mixed matrix membranesGonzo, Elio EmilioParentis, Monica LilianaGottifredi, Juan Carlos AgustinMaxwell ModelMembraneMixed MatrixPermeationSelectivityhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Mixed 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.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; ArgentinaFil: 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; ArgentinaFil: 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; ArgentinaElsevier Science2006-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/66911Gonzo, 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; 46-540376-7388CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.memsci.2005.10.007info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0376738805007349info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:24:24Zoai:ri.conicet.gov.ar:11336/66911instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:24:25.053CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Estimating models for predicting effective permeability of mixed matrix membranes
title Estimating models for predicting effective permeability of mixed matrix membranes
spellingShingle Estimating models for predicting effective permeability of mixed matrix membranes
Gonzo, Elio Emilio
Maxwell Model
Membrane
Mixed Matrix
Permeation
Selectivity
title_short Estimating models for predicting effective permeability of mixed matrix membranes
title_full Estimating models for predicting effective permeability of mixed matrix membranes
title_fullStr Estimating models for predicting effective permeability of mixed matrix membranes
title_full_unstemmed Estimating models for predicting effective permeability of mixed matrix membranes
title_sort Estimating models for predicting effective permeability of mixed matrix membranes
dc.creator.none.fl_str_mv Gonzo, Elio Emilio
Parentis, Monica Liliana
Gottifredi, Juan Carlos Agustin
author Gonzo, Elio Emilio
author_facet Gonzo, Elio Emilio
Parentis, Monica Liliana
Gottifredi, Juan Carlos Agustin
author_role author
author2 Parentis, Monica Liliana
Gottifredi, Juan Carlos Agustin
author2_role author
author
dc.subject.none.fl_str_mv Maxwell Model
Membrane
Mixed Matrix
Permeation
Selectivity
topic Maxwell Model
Membrane
Mixed Matrix
Permeation
Selectivity
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv 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.
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
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
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
description 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.
publishDate 2006
dc.date.none.fl_str_mv 2006-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/66911
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
0376-7388
CONICET Digital
CONICET
url http://hdl.handle.net/11336/66911
identifier_str_mv 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
0376-7388
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.memsci.2005.10.007
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0376738805007349
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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