(2018) Experimental analysis and prediction of viscoelastic creep properties of PP/EVA/LDH nanocomposites using master curves based on time-temperature superposition. Journal of Applied Polymer Science. p. 12. ISSN 0021-8995
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Experimental analysis and prediction of viscoelastic creep properties of PPEVALDH nanocomposites using master curves based on time–temperature superposition.pdf Download (2MB) |
Abstract
Prediction of viscoelastic behavior of polymers over a long-term period is of vital importance for engineering applications. An attempt was made to uncover the interplay between the morphology and viscoelastic behavior of compatibilized polypropylene/ethylene vinyl acetate (EVA) copolymer blends in the presence of layered double hydroxide (LDH) nanoplatelets. The time-temperature superposition (TTS) principle and WLF equations were merged to obtain master curves of storage modulus at defined reference temperatures enabling prediction of storage modulus at high frequency ranges which are not experimentally measureable. Moreover, the creep compliance master curves were acquired for different reference temperatures to predict the creep compliance of nanocomposites over long period of times. It was found that the presence of LDH decreases the creep compliance at long period of times while it decreases the unrecoverable deformation of EVA domains. A simple mechanism was proposed to explain the creep and recovery behavior of samples blend at different temperatures. (c) 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46725.
Item Type: | Article |
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Keywords: | applications morphology structure-property relationships dynamic-mechanical properties term tensile creep heterogeneous blends strain superposition copolymer blends morphology behavior recovery Polymer Science |
Divisions: | |
Page Range: | p. 12 |
Journal or Publication Title: | Journal of Applied Polymer Science |
Journal Index: | ISI |
Volume: | 135 |
Number: | 38 |
Identification Number: | https://doi.org/10.1002/app.46725 |
ISSN: | 0021-8995 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/3571 |
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