Characterization of Poly(Ethylene Terephthalate) by Torque Rheometry

Polymer processing parameters may considerably affect final product characteristic as, if properly chosen, these parameters may lead to products with optimal properties. The aim of this work is to evaluate the rheological characteristics of poly(ethylene terephthalate) (PET) by torque rheometry, as...

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Published inMaterials research (São Carlos, São Paulo, Brazil) Vol. 24; no. 2; p. e20200238
Main Authors Andrade, Daniella Stepheny Carvalho, Canedo, Eduardo Luís, Carvalho, Laura Hecker de, Barbosa, Renata, Alves, Tatianny Soares
Format Journal Article
LanguageEnglish
Published Sao Carlos Universidade Federal do Sao Carlos, Departamento de Engenharia de Materiais 2021
ABM, ABC, ABPol
Associação Brasileira de Metalurgia e Materiais (ABM); Associação Brasileira de Cerâmica (ABC); Associação Brasileira de Polímeros (ABPol)
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Summary:Polymer processing parameters may considerably affect final product characteristic as, if properly chosen, these parameters may lead to products with optimal properties. The aim of this work is to evaluate the rheological characteristics of poly(ethylene terephthalate) (PET) by torque rheometry, as well as to estimate its incipient degradation rate during processing in an internal laboratory mixer. In order to estimate the temperature coefficient of the viscosity (β), and the pseudoplasticity index (n) of PET, two sets of experiments need to be performed. In the first one, the polymer is processed at three different temperatures at a single rotor speed for 10 min, getting temperature coefficient of the viscosity equal to β = 0.053 °C-1. In the second set of experiments, the resin (PET) is processed at a single temperature at six different rotor speeds for the same time interval and the pseudoplasticity index was determined, n = 0.78. From the results obtained, it is possible to indicate the internal mixer as an equipment not only for mixing polymers or composites, but as a tool for determining important rheological variables for predicting degradative processes.
ISSN:1516-1439
1980-5373
1980-5373
DOI:10.1590/1980-5373-mr-2020-0238