In-phase and out-of-phase tensile properties of polypropylene/mica composites modified by a novel industrial waste based interfacial agent. Responses at the α and β transitions of the polymer phase

This work deals with the study of the evolution with temperature of the in-phase and the out-of-phase responses of polypropylene/mica composites with improved interfacial interactions due to the presence of an industrial waste based interfacial modifier. This one is a p-phenylen-bis-maleamic acid gr...

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Bibliographic Details
Main Authors: García-Martínez, Jesús María, Collar, Emilia P.
Format: Conference Proceeding
Language:English
Subjects:
Atacticity
Design of experiments
Dynamic mechanical analysis
Independent variables
Industrial wastes
Mechanical properties
Mica
Polymer matrix composites
Polypropylene
Temperature
Temperature dependence
Tensile properties
Transition temperature
Weather forecasting
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Summary:This work deals with the study of the evolution with temperature of the in-phase and the out-of-phase responses of polypropylene/mica composites with improved interfacial interactions due to the presence of an industrial waste based interfacial modifier. This one is a p-phenylen-bis-maleamic acid grafted atactic polypropylene (aPP-pPBMA) with 15% w/w grafted pPBMA (5.0·10−4 g.mol−1). This work has been two-fold planned. On one hand, we have used dynamic mechanical parameters to evidence the interfacial improve caused by the addition of the interfacial modifier (aPP-pPBMA). The other purpose has been to obtain a mathematical to predict the overall behaviour of the heterogeneous system for whatever temperature considered. In our case we have merely used the dynamic-mechanical analysis (DMA) for just the α and β transition temperatures. Hence, a Box-Wilson experimental design considering the amount of mica particles and of interfacial agent as independent variables was used to obtain the mathematical model. The study has been tackled by considering the different transitions of the polypropylene matrix in the temperature interval scanned and further application of the Statistical Design of Experiments (sDOE) to each transition temperature in order to make forecasts for the property (E’, E”) as a function of the composite components and of the type of temperature dependent relaxation phenomena taking place.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4949596