Abstract

In this paper, nanocomposites based on polypropylene (PP) filled with up to 5 wt.% of multi-walled carbon nanotubes (MWCNTs) were investigated for determining the material property data used in numerical simulation of manufacturing processes such as the injection molding and extrusion. PP/MWCNT nanocomposite pellets were characterized for rheological behavior, crystallinity, specific volume and thermal conductivity, while injection-molded samples were characterized for mechanical and electrical properties. The addition of MWCNTs does not significantly change the melting and crystallization behavior of the PP/MWCNT nanocomposites. The effect of MWCNTs on melt shear viscosity is more pronounced at low shear rates and MWCNT loadings of 1–5 wt.%. However, with the addition of up to 5 wt.% of MWCNTs, the PP/MWCNT nanocomposite still behaves like a non-Newtonian fluid. The specific volume of the PP/MWCNT nanocomposites decreases with increasing MWCNT loading, especially in the MWCNT range of 1–5 wt.%, indicating better dimensional stability. The thermal conductivity, depending on the pressure, MWCNT wt.% and temperature, did not exceed 0.35 W/m·K. The PP/MWCNT nanocomposite is electrical non-conductive up to 3 wt.%, whereas after the percolating path is created, the nanocomposite with 5 wt.% becomes semi-conductive with an electrical conductivity of 10−1 S/m. The tensile modulus, tensile strength and stress at break increase with increasing MWCNT loading, whereas the elongation at break significantly decreases with increasing MWCNT loading. The Cross and modified 2-domain Tait models are suitable for predicting the melt shear viscosity and specific volume as a function of MWCNTs, respectively. These results enable users to integrate the PP/MWCNT nanocomposites into computer aided engineering analysis.

Highlights

  • Tait models are suitable for predicting the melt shear viscosity and specific volume as a function of multi-walled carbon nanotubes (MWCNTs), respectively. These results enable users to integrate the PP/MWCNT nanocomposites into computer aided engineering analysis

  • Data needed for numerical simulation of polymer/carbon nanotube (CNT) nanocomposites may be obtained by combining the values of physical, thermal, and mechanical properties from different sources or selecting an equivalent material taking into account material family, filler content, melt flow rate, viscosity index, transition temperature, etc

  • The nanocomposites under investigation are based on industrial PP2001 masterbatch (Nanocyl S.A., Sambreville, Belgium) with 20 wt.% of multi-walled carbon nanotubes (Nanocyl NC7000, Nanocyl S.A., Sambreville, Belgium) produced via catalytic carbon vapor deposition (CCVD) process [52]

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Summary

Introduction

Data needed for numerical simulation of polymer/CNT nanocomposites may be obtained by combining the values of physical, thermal, and mechanical properties from different sources or selecting an equivalent material taking into account material family, filler content, melt flow rate, viscosity index, transition temperature, etc. This may lead to very serious errors since the material properties of polymer/CNT nanocomposites are influenced by many factors, including polymer matrix, type of CNTs, aspect ratio, dispersion and alignment of CNTs within the polymer matrix, processing methods, etc. The measurement methods can produce unreliable results, especially when anisotropic properties such as thermal [22,23,24] and electrical conductivity [24,25,26] are measured, which depend on the filler orientation during the manufacturing processes, including injection molding [22,23]

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