A comparative study on the influences of whisker and conventional carbon nanotubes on the electrical and thermal conductivity of polyether ether ketone composites

2021 ◽  
pp. 50720
Author(s):  
Shu Li ◽  
Fengyu Wen ◽  
Cong Sun ◽  
Zhenyang Wang ◽  
Rui Chen ◽  
...  
Author(s):  
J Li ◽  
L Q Zhang

The main objective of this article is to develop a high wear resistance carbon fibre (CF)-reinforced polyether ether ketone composite with the addition of multi-wall carbon nano-tubes (MWCNT). These compounds were well mixed in a Haake batch mixer and compounded polymers were fabricated into sheets of known thickness by compression moulding. Samples were tested for wear resistance with respect to different concentrations of fillers. Wear resistance of a composite with 20 wt% of CF increases when MWCNT was introduced. The worn surface features have been examined using a scanning electron microscope (SEM). Photomicrographs of the worn surfaces revealed higher wear resistance with the addition of carbon nanotubes. Also better interfacial adhesion between carbon and vinyl ester in a carbon-reinforced vinyl ester composite was observed.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Eduardo R. Cruz-Chú ◽  
Gonzalo J. Villegas-Rodríguez ◽  
Tobias Jäger ◽  
Luca Valentini ◽  
Nicola M. Pugno ◽  
...  

Abstract Nanocomposites built from polymers and carbon nanotubes (CNTs) are a promising class of materials. Computer modeling can provide nanoscale views of the polymer–CNT interface, which are much needed to foster the manufacturing and development of such materials. However, setting up periodic nanocomposite models is a challenging task. Here we propose a computational workflow based on Molecular Dynamics simulations. We demonstrate its capabilities and showcase its applications, focusing on two existing nanocomposite materials: polystyrene (PS) with CNT and polyether ether ketone with CNT. The models provide insights into the polymer crystallization inside CNTs. Furthermore, the PS+CNT nanocomposite models are mechanically tested and able to predict an enhancement in Young’s modulus due to the addition of highly dispersed CNTs. We accompany those results with experimental tests and provide a prediction model based on Dynamic Quantized Fracture Mechanics theory. Our study proposes representative simulations of polymer–CNT nanocomposites as promising tools to guide the rational design of this class of materials.


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