Fracture investigation of functionalized carbon nanotubes-grown carbon fiber fabrics/epoxy composites

2020 ◽  
Vol 195 ◽  
pp. 108161 ◽  
Author(s):  
Zhiqiang Yao ◽  
Chengguo Wang ◽  
Ruijiao Lu ◽  
Shunsheng Su ◽  
Jianjie Qin ◽  
...  
Keyword(s):  
Carbon Nanotubes ◽  
Carbon Fiber ◽  
Epoxy Composites ◽  
Functionalized Carbon Nanotubes

scholarly journals Characterization of Carbon Fiber Reinforced Epoxy Composites Modified with Nanoclay and Carbon Nanotubes

2015 ◽  
Vol 105 ◽  
pp. 821-828 ◽  
Author(s):  
Md Ekramul Islam ◽  
Tanjheel H. Mahdi ◽  
Mahesh V. Hosur ◽  
Shaik Jeelani
Keyword(s):  
Carbon Nanotubes ◽  
Carbon Fiber ◽  
Epoxy Composites ◽  
Fiber Reinforced ◽  
Carbon Fiber Reinforced

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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