Polyurethanes synthetized with polyols of distinct molar masses: Use of the artificial neural network for prediction of degree of polymerization

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Caxias Do Sul UCS-
Autor(es): dc.contributorFed Univ Latin Amer Integrat UNILA-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorFed Inst Educ Sci & Technol Rio Grande Sul IFRS-
Autor(es): dc.contributorFed Univ Rio Grande Sul UFRGS-
Autor(es): dc.creatorDall Agnol, Lucas-
Autor(es): dc.creatorOrnaghi, Heitor Luiz-
Autor(es): dc.creatorMonticeli, Francisco [UNESP]-
Autor(es): dc.creatorDias, Fernanda Trindade Gonzalez-
Autor(es): dc.creatorBianchi, Otavio-
Data de aceite: dc.date.accessioned2022-02-22T00:59:22Z-
Data de disponibilização: dc.date.available2022-02-22T00:59:22Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-04-27-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1002/pen.25702-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/210275-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/210275-
Descrição: dc.descriptionThe molar mass of the polyurethanes (PUs)' reagents directly influences their thermal response, affecting both the polymerization process and the enthalpy and the degree of reaction. This study reports applying an artificial neural network (ANN), associated with surface response methodology (SRM) models, to predict the calorimetric behavior of certain PU's bulk polymerizations. A noncatalyzed reaction between an aliphatic hexamethylene diisocyanate (HDI) and a polycarbonate diol (PCD) with distinct molar masses (500, 1000, and 2000 g/mol) was proposed. A high level of reliability of the predicted calorimetric curves was obtained due to an excellent agreement between theoretical and modeled results, enabling creating a 3D surface response to predict the reaction kinetics. Also, it was possible to observe that the polymerization kinetics is affected by the -OH group's association phenomena. The applied methodology can be extended for other materials or properties of interest.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionUniv Caxias Do Sul UCS, Postgrad Program Mat Sci & Engn PGMAT, Caxias Do Sul, RS, Brazil-
Descrição: dc.descriptionFed Univ Latin Amer Integrat UNILA, Foz Do Iguacu, Parana, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Unesp, Sch Engn, Dept Mat & Technol, Guaratingueta, Brazil-
Descrição: dc.descriptionFed Inst Educ Sci & Technol Rio Grande Sul IFRS, Postgrad Program Technol & Mat Engn PPG TEM, Campus Feliz, Porto Alegre, RS, Brazil-
Descrição: dc.descriptionFed Univ Rio Grande Sul UFRGS, Dept Mat Engn DEMAT, Porto Alegre, RS, Brazil-
Descrição: dc.descriptionSao Paulo State Univ Unesp, Sch Engn, Dept Mat & Technol, Guaratingueta, Brazil-
Descrição: dc.descriptionCAPES: 001-
Formato: dc.format9-
Idioma: dc.languageen-
Publicador: dc.publisherWiley-Blackwell-
Relação: dc.relationPolymer Engineering And Science-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectartificial neural network-
Palavras-chave: dc.subjectdifferential calorimetric analysis-
Palavras-chave: dc.subjectmolar mass-
Palavras-chave: dc.subjectpolyurethane-
Título: dc.titlePolyurethanes synthetized with polyols of distinct molar masses: Use of the artificial neural network for prediction of degree of polymerization-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.