Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethy...

Autores
Brandolin, Adriana; Sarmoria, Claudia; López, Antonio S.; Whiteley, Ken S.; Del Amo Fernández, Bernardo
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We develop a mathematical model able to describe the complete molecular weight distributions of polyethylene and ethylene-vinyl acetate copolymers obtained in high pressure autoclave reactors. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. We use three different definitions of probability generating functions, each one directly applicable either to the number, weight or chromatographic distributions. These probability generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. The capabilities of two different inversion methods are compared. Predictions are compared with experimental data obtained in an industrial reactor; good agreement is obtained. The approach presented here is applicable to other types of polymerization reactors and post-polymerization processes.
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
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: López, Antonio S.. Repsol, YPF; Argentina
Fil: Whiteley, Ken S.. Repsol, YPF; Argentina
Fil: Del Amo Fernández, Bernardo. Repsol, YPF; Argentina
Materia
Ethylene Polymerization
Ethylene-Vinyl Acetate Polymerization
Mathematical Model
Autoclave Reactor
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:11336/40218

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetateBrandolin, AdrianaSarmoria, ClaudiaLópez, Antonio S.Whiteley, Ken S.Del Amo Fernández, BernardoEthylene PolymerizationEthylene-Vinyl Acetate PolymerizationMathematical ModelAutoclave Reactorhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2We develop a mathematical model able to describe the complete molecular weight distributions of polyethylene and ethylene-vinyl acetate copolymers obtained in high pressure autoclave reactors. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. We use three different definitions of probability generating functions, each one directly applicable either to the number, weight or chromatographic distributions. These probability generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. The capabilities of two different inversion methods are compared. Predictions are compared with experimental data obtained in an industrial reactor; good agreement is obtained. The approach presented here is applicable to other types of polymerization reactors and post-polymerization processes.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; 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: López, Antonio S.. Repsol, YPF; ArgentinaFil: Whiteley, Ken S.. Repsol, YPF; ArgentinaFil: Del Amo Fernández, Bernardo. Repsol, YPF; ArgentinaJohn Wiley & Sons Inc2001-08info: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/11336/40218Brandolin, Adriana; Sarmoria, Claudia; López, Antonio S.; Whiteley, Ken S.; Del Amo Fernández, Bernardo; Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate; John Wiley & Sons Inc; Polymer Engineering and Science; 41; 8; 8-2001; 1413-14260032-3888CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/pen.10841info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/pen.10841info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:13:56Zoai:ri.conicet.gov.ar:11336/40218instacron: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:34982025-09-10 13:13:56.615CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
title Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
spellingShingle Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
Brandolin, Adriana
Ethylene Polymerization
Ethylene-Vinyl Acetate Polymerization
Mathematical Model
Autoclave Reactor
title_short Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
title_full Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
title_fullStr Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
title_full_unstemmed Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
title_sort Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate
dc.creator.none.fl_str_mv Brandolin, Adriana
Sarmoria, Claudia
López, Antonio S.
Whiteley, Ken S.
Del Amo Fernández, Bernardo
author Brandolin, Adriana
author_facet Brandolin, Adriana
Sarmoria, Claudia
López, Antonio S.
Whiteley, Ken S.
Del Amo Fernández, Bernardo
author_role author
author2 Sarmoria, Claudia
López, Antonio S.
Whiteley, Ken S.
Del Amo Fernández, Bernardo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ethylene Polymerization
Ethylene-Vinyl Acetate Polymerization
Mathematical Model
Autoclave Reactor
topic Ethylene Polymerization
Ethylene-Vinyl Acetate Polymerization
Mathematical Model
Autoclave Reactor
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 develop a mathematical model able to describe the complete molecular weight distributions of polyethylene and ethylene-vinyl acetate copolymers obtained in high pressure autoclave reactors. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. We use three different definitions of probability generating functions, each one directly applicable either to the number, weight or chromatographic distributions. These probability generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. The capabilities of two different inversion methods are compared. Predictions are compared with experimental data obtained in an industrial reactor; good agreement is obtained. The approach presented here is applicable to other types of polymerization reactors and post-polymerization processes.
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
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: López, Antonio S.. Repsol, YPF; Argentina
Fil: Whiteley, Ken S.. Repsol, YPF; Argentina
Fil: Del Amo Fernández, Bernardo. Repsol, YPF; Argentina
description We develop a mathematical model able to describe the complete molecular weight distributions of polyethylene and ethylene-vinyl acetate copolymers obtained in high pressure autoclave reactors. We apply probability generating function definitions to the mass balances of radical and polymer species in the reacting medium. We use three different definitions of probability generating functions, each one directly applicable either to the number, weight or chromatographic distributions. These probability generating functions are numerically inverted to obtain the corresponding calculated molecular weight distribution. The capabilities of two different inversion methods are compared. Predictions are compared with experimental data obtained in an industrial reactor; good agreement is obtained. The approach presented here is applicable to other types of polymerization reactors and post-polymerization processes.
publishDate 2001
dc.date.none.fl_str_mv 2001-08
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/11336/40218
Brandolin, Adriana; Sarmoria, Claudia; López, Antonio S.; Whiteley, Ken S.; Del Amo Fernández, Bernardo; Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate; John Wiley & Sons Inc; Polymer Engineering and Science; 41; 8; 8-2001; 1413-1426
0032-3888
CONICET Digital
CONICET
url http://hdl.handle.net/11336/40218
identifier_str_mv Brandolin, Adriana; Sarmoria, Claudia; López, Antonio S.; Whiteley, Ken S.; Del Amo Fernández, Bernardo; Prediction of molecular weight distributions by probability generating functions. Application to industrial autoclave reactors for high pressure polymerization of ethylene and ethylene-vinyl acetate; John Wiley & Sons Inc; Polymer Engineering and Science; 41; 8; 8-2001; 1413-1426
0032-3888
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/pen.10841
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/abs/10.1002/pen.10841
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
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score 12.993085