Network model for the viscoelastic behavior of polymer nanocomposites

Polymer ◽  
2004 ◽  
Vol 45 (22) ◽  
pp. 7779-7790 ◽  
Author(s):  
Alireza S. Sarvestani ◽  
Catalin R. Picu
Keyword(s):  
Polymer Nanocomposites ◽  
Network Model ◽  
Viscoelastic Behavior

scholarly journals Intra-Cycle Elastic Nonlinearity of Nitrogen-Doped Carbon Nanotube/Polymer Nanocomposites under Medium Amplitude Oscillatory Shear (MAOS) Flow

Nanomaterials ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 1257 ◽  
Author(s):  
Milad Kamkar ◽  
Soheil Sadeghi ◽  
Mohammad Arjmand ◽  
Ehsan Aliabadian ◽  
Uttandaraman Sundararaj
Keyword(s):  
Rheological Properties ◽  
Polymer Nanocomposites ◽  
Polyvinylidene Fluoride ◽  
Viscoelastic Behavior ◽  
Oscillatory Shear ◽  
Dispersed Systems ◽  
Nitrogen Doped ◽  
Elastic Nonlinearity ◽  
Medium Amplitude Oscillatory Shear ◽  
Nitrogen Doped Carbon

This study seeks to unravel the effect of carbon nanotube’s physical and chemical features on the final electrical and rheological properties of polymer nanocomposites thereof. Nitrogen-doped carbon nanotubes (N-CNTs) were synthesized over two different types of catalysts, i.e., Fe and Ni, employing chemical vapor deposition. Utilizing this technique, we were able to synthesize N-CNTs with significantly different structures. As a result, remarkable differences in the network structure of the nanotubes were observed upon mixing the N-CNTs in a polyvinylidene fluoride (PVDF) matrix, which, in turn, led to drastically different electrical and rheological properties. For instance, no enhancement in the electrical conductivity of poorly-dispersed (N-CNT)Ni/PVDF samples was observed even at high nanotube concentrations, whereas (N-CNT)Fe/PVDF nanocomposites exhibited an insulative behavior at 1.0 wt%, a semi-conductive behavior at 2.0 wt%, and a conductive behavior at 2.7 wt%. In terms of rheology, the most substantial differences in the viscoelastic behavior of the systems were distinguishable in the medium amplitude oscillatory shear (MAOS) region. The stress decomposition method combined with the evaluation of the elastic and viscous third-order Chebyshev coefficients revealed a strong intra-cycle elastic nonlinearity in the MAOS region for the poorly-dispersed systems in small frequencies; however, the well-dispersed systems showed no intra-cycle nonlinearity in the MAOS region. It was shown that the MAOS elastic nonlinearity of poorly-dispersed systems stems from the confinement of N-CNT domains between the rheometer’s plates for small gap sizes comparable with the size of the agglomerates. Moreover, the intra-cycle elastic nonlinearity of poorly-dispersed systems is frequency-dependent and vanished at higher frequencies. The correlation between the microstructure and viscoelastic properties under large shear deformations provides further guidance for the fabrication of high-performance 3D-printed electrically conductive nanocomposites with precisely controllable final properties for engineering applications.

scholarly journals Filler–filler interactions and viscoelastic behavior of polymer nanocomposites

2004 ◽  
Vol 381 (1-2) ◽  
pp. 320-330 ◽  
Author(s):  
E. Chabert ◽  
M. Bornert ◽  
E. Bourgeat-Lami ◽  
J.-Y. Cavaillé ◽  
R. Dendievel ◽  
...  
Keyword(s):  
Polymer Nanocomposites ◽  
Viscoelastic Behavior

A Hybrid Numerical-Analytical Method for Modeling the Viscoelastic Properties of Polymer Nanocomposites

2005 ◽  
Vol 73 (5) ◽  
pp. 758-768 ◽  
Author(s):  
Hua Liu ◽  
L. Catherine Brinson
Keyword(s):  
Polymer Nanocomposites ◽  
Computational Cost ◽  
Viscoelastic Behavior ◽  
Polymer Nanocomposite ◽  
Micromechanical Approach ◽  
Nanoparticle Morphology ◽  
Thermal And Electrical Properties ◽  
Element Technique ◽  
Matrix Nanocomposites

In this paper, we present a novel hybrid numerical-analytical modeling method that is capable of predicting viscoelastic behavior of multiphase polymer nanocomposites, in which the nanoscopic fillers can assume complex configurations. By combining the finite element technique and a micromechanical approach (particularly, the Mori-Tanaka method) with local phase properties, this method operates at low computational cost and effectively accounts for the influence of the interphase as well as in situ nanoparticle morphology. A few examples using this approach to model the viscoelastic response of nanotube and nanoplatelet polymer nanocomposite are presented. This method can also be adapted for modeling other behaviors of polymer nanocomposites, including thermal and electrical properties. It is potentially useful in the prediction of behaviors of other types of nanocomposites, such as metal and ceramic matrix nanocomposites.

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