Controlled rheology of polypropylene: Modeling of molecular weight distributions

Autores
Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A mathematical model for the controlled degradation of polypropylene is presented in this article. A previous model of this process was extended to predict the whole molecular weight distribution of the modified resin. Probability generating functions were applied to transform the infinite set of mass balance equations of both polymer and radicals. The integration of the transformed set of equations yielded the probability generating function transforms. These transforms were then inverted with two different inversion algorithms, recovering the molecular weight distributions of the polymer. The model predictions were compared with our experimental data and other information taken from the literature. Good agreement was obtained. The approach presented here is also useful for other polymerization and postpolymerization processes.
Fil: Asteasuain, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Sarmoria, Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Brandolin, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
MOLECULAR WEIGHT DISTRIBUTION
MOLAR MASS DISTRIBUTION
POLYPROPYLENE
MODELING
MODIFICATION
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:11336/126943
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Controlled rheology of polypropylene: Modeling of molecular weight distributionsAsteasuain, MarianoSarmoria, ClaudiaBrandolin, AdrianaMOLECULAR WEIGHT DISTRIBUTIONMOLAR MASS DISTRIBUTIONPOLYPROPYLENEMODELINGMODIFICATIONhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2A mathematical model for the controlled degradation of polypropylene is presented in this article. A previous model of this process was extended to predict the whole molecular weight distribution of the modified resin. Probability generating functions were applied to transform the infinite set of mass balance equations of both polymer and radicals. The integration of the transformed set of equations yielded the probability generating function transforms. These transforms were then inverted with two different inversion algorithms, recovering the molecular weight distributions of the polymer. The model predictions were compared with our experimental data and other information taken from the literature. Good agreement was obtained. The approach presented here is also useful for other polymerization and postpolymerization processes.Fil: Asteasuain, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Sarmoria, Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Brandolin, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaJohn Wiley & Sons Inc2003-05info: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/11336/126943Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana; Controlled rheology of polypropylene: Modeling of molecular weight distributions; John Wiley & Sons Inc; Journal of Applied Polymer Science; 88; 7; 5-2003; 1676-16850021-8995CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/app.11823info:eu-repo/semantics/altIdentifier/doi/10.1002/app.11823info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:13Zoai:ri.conicet.gov.ar:11336/126943instacron: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:34982025-09-03 10:08:13.731CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Controlled rheology of polypropylene: Modeling of molecular weight distributions
title Controlled rheology of polypropylene: Modeling of molecular weight distributions
spellingShingle Controlled rheology of polypropylene: Modeling of molecular weight distributions
Asteasuain, Mariano
MOLECULAR WEIGHT DISTRIBUTION
MOLAR MASS DISTRIBUTION
POLYPROPYLENE
MODELING
MODIFICATION
title_short Controlled rheology of polypropylene: Modeling of molecular weight distributions
title_full Controlled rheology of polypropylene: Modeling of molecular weight distributions
title_fullStr Controlled rheology of polypropylene: Modeling of molecular weight distributions
title_full_unstemmed Controlled rheology of polypropylene: Modeling of molecular weight distributions
title_sort Controlled rheology of polypropylene: Modeling of molecular weight distributions
dc.creator.none.fl_str_mv Asteasuain, Mariano
Sarmoria, Claudia
Brandolin, Adriana
author Asteasuain, Mariano
author_facet Asteasuain, Mariano
Sarmoria, Claudia
Brandolin, Adriana
author_role author
author2 Sarmoria, Claudia
Brandolin, Adriana
author2_role author
author
dc.subject.none.fl_str_mv MOLECULAR WEIGHT DISTRIBUTION
MOLAR MASS DISTRIBUTION
POLYPROPYLENE
MODELING
MODIFICATION
topic MOLECULAR WEIGHT DISTRIBUTION
MOLAR MASS DISTRIBUTION
POLYPROPYLENE
MODELING
MODIFICATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv A mathematical model for the controlled degradation of polypropylene is presented in this article. A previous model of this process was extended to predict the whole molecular weight distribution of the modified resin. Probability generating functions were applied to transform the infinite set of mass balance equations of both polymer and radicals. The integration of the transformed set of equations yielded the probability generating function transforms. These transforms were then inverted with two different inversion algorithms, recovering the molecular weight distributions of the polymer. The model predictions were compared with our experimental data and other information taken from the literature. Good agreement was obtained. The approach presented here is also useful for other polymerization and postpolymerization processes.
Fil: Asteasuain, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Sarmoria, Claudia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Brandolin, Adriana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description A mathematical model for the controlled degradation of polypropylene is presented in this article. A previous model of this process was extended to predict the whole molecular weight distribution of the modified resin. Probability generating functions were applied to transform the infinite set of mass balance equations of both polymer and radicals. The integration of the transformed set of equations yielded the probability generating function transforms. These transforms were then inverted with two different inversion algorithms, recovering the molecular weight distributions of the polymer. The model predictions were compared with our experimental data and other information taken from the literature. Good agreement was obtained. The approach presented here is also useful for other polymerization and postpolymerization processes.
publishDate 2003
dc.date.none.fl_str_mv 2003-05
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/11336/126943
Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana; Controlled rheology of polypropylene: Modeling of molecular weight distributions; John Wiley & Sons Inc; Journal of Applied Polymer Science; 88; 7; 5-2003; 1676-1685
0021-8995
CONICET Digital
CONICET
url http://hdl.handle.net/11336/126943
identifier_str_mv Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana; Controlled rheology of polypropylene: Modeling of molecular weight distributions; John Wiley & Sons Inc; Journal of Applied Polymer Science; 88; 7; 5-2003; 1676-1685
0021-8995
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/app.11823
info:eu-repo/semantics/altIdentifier/doi/10.1002/app.11823
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 John Wiley & Sons Inc
publisher.none.fl_str_mv John Wiley & Sons Inc
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
_version_ 1842270036392148992
score 13.13397

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