Effect of different amino functionalized carbon nanotubes on curing behavior and mechanical properties of carbon fiber/epoxy composites

2016 ◽  
Vol 39 (S2) ◽  
pp. E733-E744 ◽  
Author(s):  
Jianqiao Wu ◽  
Jian Guo ◽  
Qingjie Zhang ◽  
Liang Gao ◽  
Hao Li ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Carbon Nanotubes ◽  
Carbon Fiber ◽  
Epoxy Composites ◽  
Functionalized Carbon Nanotubes ◽  
Curing Behavior ◽  
Carbon Fiber Epoxy

Fabrication of carbon nanotubes grown woven carbon fiber/epoxy composites and their electrical and mechanical properties

2013 ◽  
Vol 113 (21) ◽  
pp. 214903 ◽  
Author(s):  
R. Samsur ◽  
V. K. Rangari ◽  
S. Jeelani ◽  
L. Zhang ◽  
Z. Y. Cheng
Keyword(s):  
Mechanical Properties ◽  
Carbon Nanotubes ◽  
Carbon Fiber ◽  
Epoxy Composites ◽  
Carbon Fiber Epoxy

scholarly journals Thermal Conductivity of Carbon Nanoreinforced Epoxy Composites

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
C. Kostagiannakopoulou ◽  
E. Fiamegkou ◽  
G. Sotiriadis ◽  
V. Kostopoulos
Keyword(s):  
Thermal Conductivity ◽  
Carbon Nanotubes ◽  
Carbon Fiber ◽  
Multiwalled Carbon Nanotubes ◽  
Epoxy Matrix ◽  
Epoxy Composites ◽  
Graphite Nanoplatelets ◽  
Multiwalled Carbon ◽  
Micromechanical Models ◽  
Carbon Fiber Epoxy

The present study attempts to investigate the influence of multiwalled carbon nanotubes (MWCNTs) and graphite nanoplatelets (GNPs) on thermal conductivity (TC) of nanoreinforced polymers and nanomodified carbon fiber epoxy composites (CFRPs). Loading levels from 1 to 3% wt. of MWCNTs and from 1 to 15% wt. of GNPs were used. The results indicate that TC of nanofilled epoxy composites increased with the increase of GNP content. Quantitatively, 176% and 48% increase of TC were achieved in nanoreinforced polymers and nanomodified CFRPs, respectively, with the addition of 15% wt. GNPs into the epoxy matrix. Finally, micromechanical models were applied in order to predict analytically the TC of polymers and CFRPs. Lewis-Nielsen model with optimized parameters provides results very close to the experimental ones in the case of polymers. As far as the composites are concerned, the Hashin and Clayton models proved to be sufficiently accurate for the prediction at lower filler contents.

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