Effective thermal conductivity of epoxy matrix filled with poly(ethyleneimine) functionalized carbon nanotubes

2014 ◽  
Vol 95 ◽  
pp. 16-20 ◽  
Author(s):  
Jiang Huang ◽  
Min Gao ◽  
Taisong Pan ◽  
Yin Zhang ◽  
Yuan Lin
2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
C. Kostagiannakopoulou ◽  
E. Fiamegkou ◽  
G. Sotiriadis ◽  
V. Kostopoulos

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.


Author(s):  
Armin Kianfar ◽  
Mir Masoud Seyyed Fakhrabadi ◽  
Mahmoud Mosavi Mashhadi

This paper presents three-dimensional finite element modeling of nanocomposite materials made from polyethylene polymer reinforced by coiled carbon nanotubes. A method of Python scripting was used to generate representative volume elements in order to determine the mechanical behavior in elastic and plastic zones as well as effective thermal conductivity using the finite element software. The properties of the nanocomposites are investigated by considering the interphase zone between carbon nanofillers and matrix. The effects of different volume fractions, geometrical parameters, and orientations of the nanofillers on the elastic and thermal characteristics of the nanocomposites are studied considering both cohesive interaction and perfect bonding between the fillers and matrix. Moreover, the effects of applying strain on the effective thermal conductivity of the representative volume elements are analyzed. The results reveal that both stress–strain curves and thermal conductivity coefficients of the nanocomposites are following similar trends vs. the changes of the volume fractions as well as the geometries and orientations of the coiled carbon nanotubes. Analysis of the tensile toughness of all samples reveals that it is affected by both stress and the number of fillers in the representative volume element. In addition, thermal-displacement analysis shows that thermal conductivity coefficient decreases by increasing the applied strain on the representative volume element, while the intensity of decrease of the nanocomposite thermal conductivity depends on the volume fraction and interaction of the nanofillers and interphase zone. Finally, crashworthiness analysis of the nanocomposite material proves that they are appropriate candidates for absorbing energy under impact loadings in comparison to metals.


2021 ◽  
Author(s):  
Ding Lou ◽  
Hammad Younes ◽  
Jack Yang ◽  
Bharat Jasthi ◽  
George Hong ◽  
...  

Abstract Carbon nanotubes (CNTs) and nanofibers (CNFs) are well-known nano additives that produce coating materials with high electrical and thermal conductivity and corrosion resistance. In this paper, coating materials incorporating hydrogen bonding offered significantly lower electrical resistance. The hydrogen bonding formed between functionalized carbon nanotubes and ethanol helped create a well-dispersed carbon nanotube network as the electron pathways. Electrical resistivity as low as 6.8 Ω⋅cm has been achieved by adding 4.5 wt.% functionalized multiwalled carbon nanotubes (MWNT-OH) to 75%Polyurethane/25%Ethanol. Moreover, the thermal conductivity of Polyurethane was improved by 332% with 10 wt.% addition of CNF. Electrochemical methods were used to evaluate the anti-corrosion properties of the fabricated coating materials. Polyurethane with the addition of 3 wt.% of MWNT-OH showed an excellent corrosion rate of 5.105×10-3 mm/year, with a protection efficiency of 99.5% against corrosive environments. The adhesion properties of the coating materials were measured following ASTM standard test methods. Polyurethane with 3 wt.% of MWNT-OH belonged to class 5 (ASTM D3359), indicating the outstanding adhesion of the coating to the substrate. These nano coatings with enhanced electrical, thermal, and anti-corrosion properties consist of a choice of traditional coating materials, such as Polyurethane, yielding coating durability with the ability to tailor the electrical and thermal properties to fit the desired application.


Author(s):  
Juekuan Yang ◽  
Scott W. Waltermire ◽  
Yang Yang ◽  
Deyu Li ◽  
Yunfei Chen

Thermal transport through carbon nanotubes (CNTs) attracted a lot of attention over the past decade. Several experimental studies have been carried out to determine the thermal conductivities of CNTs [1–3]. However, the measurements are based on an individual CNT sample between two suspended membranes and the results actually include both the intrinsic thermal resistance of the CNT and the contact thermal resistance between the CNT and the two suspended membranes that serve as a heat source and a heat sink. Hence, the effective thermal conductivity extracted from these measurements should be lower than the intrinsic thermal conductivities of the CNTs measured. To minimize the contact thermal resistance, electron beam induce deposition (EBID) of different metals has been used to increase the contact area between the CNT and the heat source and sink [3,4]. However, it is still not clear how effective this treatment is and to what level the effective thermal conductivity obtained after the EBID treatment reflects the intrinsic one.


Carbon ◽  
2010 ◽  
Vol 48 (3) ◽  
pp. 592-603 ◽  
Author(s):  
Shin-Yi Yang ◽  
Chen-Chi M. Ma ◽  
Chih-Chun Teng ◽  
Yen-Wei Huang ◽  
Shu-Hang Liao ◽  
...  

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