Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions

Autores
Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana
Año de publicación
2002
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present a mathematical model able to describe the complete molecular weight distributions of polyethylene during reactive modification by organic peroxides. The method is applicable to batch processes, such as modification in a press or a plug-flow extruder, and in its present form is valid up to the gel point. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. Three different probability generating functions are applied, each one directly applicable either to the number, weight or chromatographic distributions. These generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. Two different inversion methods are used, and their relative performances analyzed. Predictions are compared with qualitative experimental data obtained in a press. Model predictions on molecular weight distributions are in agreement with experimental trends. © 2002 Elsevier Science Ltd. All rights reserved.
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
Mathematical Modeling
Molecular Weight Distribution Prediction
Reactive 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:11336/40201
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functionsAsteasuain, MarianoSarmoria, ClaudiaBrandolin, AdrianaMathematical ModelingMolecular Weight Distribution PredictionReactive Modificationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2We present a mathematical model able to describe the complete molecular weight distributions of polyethylene during reactive modification by organic peroxides. The method is applicable to batch processes, such as modification in a press or a plug-flow extruder, and in its present form is valid up to the gel point. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. Three different probability generating functions are applied, each one directly applicable either to the number, weight or chromatographic distributions. These generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. Two different inversion methods are used, and their relative performances analyzed. Predictions are compared with qualitative experimental data obtained in a press. Model predictions on molecular weight distributions are in agreement with experimental trends. © 2002 Elsevier Science Ltd. All rights reserved.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; ArgentinaElsevier2002-02-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/40201Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana; Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions; Elsevier; Polymer; 43; 8; 9-2-2002; 2363-23730032-3861CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/S0032-3861(02)00014-9info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0032386102000149info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:25:42Zoai:ri.conicet.gov.ar:11336/40201instacron: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:34982025-10-22 11:25:42.433CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
title Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
spellingShingle Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
Asteasuain, Mariano
Mathematical Modeling
Molecular Weight Distribution Prediction
Reactive Modification
title_short Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
title_full Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
title_fullStr Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
title_full_unstemmed Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
title_sort Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions
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 Mathematical Modeling
Molecular Weight Distribution Prediction
Reactive Modification
topic Mathematical Modeling
Molecular Weight Distribution Prediction
Reactive 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 We present a mathematical model able to describe the complete molecular weight distributions of polyethylene during reactive modification by organic peroxides. The method is applicable to batch processes, such as modification in a press or a plug-flow extruder, and in its present form is valid up to the gel point. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. Three different probability generating functions are applied, each one directly applicable either to the number, weight or chromatographic distributions. These generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. Two different inversion methods are used, and their relative performances analyzed. Predictions are compared with qualitative experimental data obtained in a press. Model predictions on molecular weight distributions are in agreement with experimental trends. © 2002 Elsevier Science Ltd. All rights reserved.
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 We present a mathematical model able to describe the complete molecular weight distributions of polyethylene during reactive modification by organic peroxides. The method is applicable to batch processes, such as modification in a press or a plug-flow extruder, and in its present form is valid up to the gel point. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. Three different probability generating functions are applied, each one directly applicable either to the number, weight or chromatographic distributions. These generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. Two different inversion methods are used, and their relative performances analyzed. Predictions are compared with qualitative experimental data obtained in a press. Model predictions on molecular weight distributions are in agreement with experimental trends. © 2002 Elsevier Science Ltd. All rights reserved.
publishDate 2002
dc.date.none.fl_str_mv 2002-02-09
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/11336/40201
Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana; Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions; Elsevier; Polymer; 43; 8; 9-2-2002; 2363-2373
0032-3861
CONICET Digital
CONICET
url http://hdl.handle.net/11336/40201
identifier_str_mv Asteasuain, Mariano; Sarmoria, Claudia; Brandolin, Adriana; Peroxide modification of polyethylene. Prediction of molecular weight distributions by probability generating functions; Elsevier; Polymer; 43; 8; 9-2-2002; 2363-2373
0032-3861
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/S0032-3861(02)00014-9
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0032386102000149
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
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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 12.982451

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