A refined model for the mechanical properties of polymer composites with nanorods having different length distributions

ABSTRACT The aspect ratio of rod‐like nanofillers is an important factor that governs their percolation threshold in nanocomposites with a polymer of interest. Controlling the length distribution of a filler is an effective way to manipulate the onset of network formation and thereby materials prope...

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Veröffentlicht in:Journal of applied polymer science 2017-09, Vol.134 (36), p.n/a
Hauptverfasser: Sapkota, Janak, Gooneie, Ali, Shirole, Anuja, Martinez Garcia, Julio Cesar
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Gooneie, Ali
Shirole, Anuja
Martinez Garcia, Julio Cesar
description ABSTRACT The aspect ratio of rod‐like nanofillers is an important factor that governs their percolation threshold in nanocomposites with a polymer of interest. Controlling the length distribution of a filler is an effective way to manipulate the onset of network formation and thereby materials properties that are related to the latter. The use of two or more different filler types with dissimilar aspect ratio is a special case to achieve such control. We here report the modification of an existing mechanical model to describe the mechanical properties of polymer nanocomposites with a binary length distribution of nanofillers. The model was exemplarily applied to materials comprised of two nanorod types having high and low aspect ratio, respectively, and used to explain why the properties of such nanocomposites are strongly weighted by the nanorod type characterized by a higher aspect ratio and stiffness. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 45279.
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subjects hybrid fillers
Low aspect ratio
Materials science
Mathematical models
Mechanical properties
Nanocomposites
nanocrystals and nanotubes
Nanorods
Network formation
Percolation
Polymer matrix composites
Polymers
Stiffness
structure‐property relations
synergistic reinforcement
title A refined model for the mechanical properties of polymer composites with nanorods having different length distributions
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