Effect of Temperature on Electrical Resistivity of Carbon Nanotubes and Graphene Nanoplatelets Nanocomposites

2014 ◽  
Vol 5 (4) ◽  
Author(s):  
Amirhossein Biabangard Oskouyi ◽  
Uttandaraman Sundararaj ◽  
Pierre Mertiny
Keyword(s):  
Carbon Nanotubes ◽  
Monte Carlo ◽  
Electrical Resistivity ◽  
Polymer Nanocomposites ◽  
Three Dimensional ◽  
Graphene Nanoplatelets ◽  
Effect Of Temperature ◽  
Resistor Network ◽  
Experimental Works ◽  
Comprehensive Modeling

The effect of the temperature on the electrical resistivity of polymer nanocomposites with carbon nanotube (CNT) and graphene nanoplatelets (GNP) fillers was investigated. A three-dimensional (3D) continuum Monte Carlo (MC) model was developed to first form percolation networks. A 3D resistor network was subsequently created to evaluate the nanocomposite electrical properties. The effect of temperature on the electrical resistivity of nanocomposites was thus investigated. Other aspects such as polymer tunneling and filler resistivities were considered as well. The presented comprehensive modeling approach is aimed at providing a better understanding of the electrical resistivity behavior of polymer nanocomposites in conjunction with experimental works.

scholarly journals Temperature-Dependent Synergistic Effect of Multi-Walled Carbon Nanotubes and Graphene Nanoplatelets on the Tensile Quasi-Static and Fatigue Properties of Epoxy Nanocomposites

Polymers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 84
Author(s):  
Yi-Ming Jen ◽  
Hao-Huai Chang ◽  
Chien-Min Lu ◽  
Shin-Yu Liang
Keyword(s):  
Carbon Nanotubes ◽  
Fatigue Strength ◽  
Synergistic Effect ◽  
Polymer Nanocomposites ◽  
Graphene Nanoplatelets ◽  
Temperature Dependent ◽  
Epoxy Nanocomposites ◽  
Hybrid Fillers ◽  
Multi Walled Carbon Nanotubes ◽  
Walled Carbon Nanotubes

Even though the characteristics of polymer materials are sensitive to temperature, the mechanical properties of polymer nanocomposites have rarely been studied before, especially for the fatigue behavior of hybrid polymer nanocomposites. Hence, the tensile quasi-static and fatigue tests for the epoxy nanocomposites reinforced with multi-walled carbon nanotubes (CNTs) and graphene nanoplatelets (GNPs) were performed at different temperatures in the study to investigate the temperature-dependent synergistic effect of hybrid nano-fillers on the studied properties. The temperature and the filler ratio were the main variables considered in the experimental program. A synergistic index was employed to quantify and evaluate the synergistic effect of hybrid fillers on the studied properties. Experimental results show that both the monotonic and fatigue strength decrease with increasing temperature significantly. The nanocomposites with a MWCNT (multi-walled CNT): GNP ratio of 9:1 display higher monotonic modulus/strength and fatigue strength than those with other filler ratios. The tensile strengths of the nanocomposite specimens with a MWCNT:GNP ratio of 9:1 are 10.0, 5.5, 12.9, 23.4, and 58.9% higher than those of neat epoxy at −28, 2, 22, 52, and 82 °C, respectively. The endurance limits of the nanocomposites with this specific filler ratio are increased by 7.7, 26.7, 5.6, 30.6, and 42.4% from those of pristine epoxy under the identical temperature conditions, respectively. Furthermore, the synergistic effect for this optimal nanocomposite increases with temperature. The CNTs bridge the adjacent GNPs to constitute the 3-D network of nano-filler and prevent the agglomeration of GNPs, further improve the studied strength. Observing the fracture surfaces reveals that crack deflect effect and the bridging effect of nano-fillers are the main reinforcement mechanisms to improve the studied properties. The pullout of nano-fillers from polymer matrix at high temperatures reduces the monotonic and fatigue strengths. However, high temperature is beneficial to the synergistic effect of hybrid fillers because the nano-fillers dispersed in the softened matrix are easy to align toward the directions favorable to load transfer.

Monte Carlo Simulation of the Dispersion of Carbon Nanotubes in Cement Matrix

2014 ◽  
Vol 597 ◽  
pp. 40-44
Author(s):  
Bao Min Wang ◽  
Yuan Zhang ◽  
Ming Li Yu ◽  
Yu Han
Keyword(s):  
Carbon Nanotubes ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Random Distribution ◽  
Three Dimensional ◽  
Hard Core ◽  
Volume Element ◽  
Cement Matrix ◽  
Simulation Calculation ◽  
Hard Core Model

In this paper, the dispersion of carbon nanotubes (CNTs) in cement matrix was analyzed by Three-dimensional Monte Carlo Simulation. A Hard core model was employed which was not allow the intersection among CNTs in a simulated three-dimensional representative volume element (3-D RVE). The position and the orientation of CNTs were assumed to follow the uniformly random distribution. The results showed that CNTs were dispersed randomly and it was helpful for the further simulation calculation about mechanical, conductivity and piezoresistivity properties.

A Numerical Model to Study the Effect of Temperature on Electrical Conductivity of Polymer-CNT Nanocomposites

2013 ◽  
Author(s):  
Amirhossein B. Oskouyi ◽  
Uttandraman Sundararaj ◽  
Pierre Mertiny
Keyword(s):  
Electrical Conductivity ◽  
Finite Element ◽  
Monte Carlo ◽  
Electrical Properties ◽  
Monte Carlo Model ◽  
Computational Cost ◽  
Three Dimensional ◽  
Effect Of Temperature ◽  
Tunneling Resistance ◽  
Percolation Network

In this study the effect of the temperature on the electrical conductivity of nanocomposites with carbon nanotube (CNT) fillers was investigated. A three-dimensional continuum Monte Carlo model was developed and employed first to form a CNT percolation network. CNT fillers were randomly generated and dispersed in a cubic representative volume element. Periodic boundary conditions were applied in this model to minimize size effects while decreasing computational cost. CNT fibers that connected electrically to each other through electron hopping were recognized and grouped as clusters. In addition to tunneling resistance, the effect of intrinsic CNT resistivity was considered. A three-dimensional resistor network was subsequently developed to evaluate nanocomposite electrical properties. Modeling employing the finite element method was conducted to evaluate the electrical conductivity of the percolation network. Considering the determining role of tunneling resistance on electrical conductivity of CNT based nanocomposites, as well as results obtained from experimental studies, temperature was expected to play an important role in nanocomposite electrical properties. The effect of temperature on electrical conductivity of CNT nanocomposites was thus investigated through employing the developed Monte Carlo and finite element models. Other aspects, including the electrical behavior of the polymer, tunneling resistivity and the intrinsic resistivity of CNT were considered in this study as well. The comprehensiveness of the developed modeling approach enables an evaluation of results in conjunction with experimental data in future works.

scholarly journals Electrical Resistivity of Pristine and Functional Single-Wall Carbon Nanotubes

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yijiang Lu ◽  
Jing Li ◽  
Haiping Hong
Keyword(s):  
Carbon Nanotubes ◽  
Electrical Resistivity ◽  
Electric Field ◽  
Polymer Nanocomposites ◽  
Functional Group ◽  
Single Wall Carbon Nanotubes ◽  
Electrical Field ◽  
Interdigitated Electrode ◽  
Single Wall Carbon ◽  
Lower Resistivity

The resistance of several pristine and functional single-wall carbon nanotubes (SWNTs) deposited and dried on interdigitated electrode (IDE) chips was investigated to better understand how functional groups influence their resistivity. Without the external electrical field, the resistance was generally increased for the sulfonated and fluorinated SWNTs but not for COOH-SWNTs. With a 3 V electric field applied during depositing, while no change in resistance was found for the purified pristine SWNTs, fluorinated SWNTs, COOH SWNTs, and Ni-SWNTs, a significant decrease in resistance was observed in sulfonated SWNTs and unpurified pristine SWNTs, which could be due to the alignment of SWNTs in an electric field. The alignment of the sulfonated SWNTs is most likely due to the charge of the sulfate functional group. It is interesting to note that the alignment was found in the unpurified pristine SWNTs but not in the purified pristine ones which have lessened resistivity. The lower resistivity in the purified pristine SWNTs may be due to the smaller number (<5%) of impurities. The significance of this research is that hydrophilic COOH-SWNTs could be a better candidate than the hydrophobic pristine SWNTs for being used in many applications, especially in polymer nanocomposites.

scholarly journals Polymer nanocomposites having a high filler content: synthesis, structures, properties, and applications

2019 ◽  
Author(s):  
Christian Harito ◽  
Dmitry V Bavykin ◽  
Brian Yuliarto ◽  
Hermawan K Dipojono ◽  
Frank C Walsh
Keyword(s):  
Carbon Nanotubes ◽  
Polymer Nanocomposites ◽  
Filler Content ◽  
Filler Particle ◽  
Three Dimensional ◽  
Polymer Nanocomposite ◽  
Synthesis Methods ◽  
Matrix Interface ◽  
Metal Carbides ◽  
Transition Metal Carbides

The recent development of nanoscale fillers, such as carbon nanotubes, graphene, and nanocellulose, allows the functionality of polymer nanocomposites to be controlled and enhanced. However, conventional synthesis methods of polymer nanocomposites cannot maximise the reinforcement of these nanofillers at high filler content. Approaches for the synthesis of high content filler polymer nanocomposites are suggested to facilitate future applications. The fabrication methods address the design of the polymer nanocomposite architecture, which encompasses one, two, and three dimensional morphologies. Factors that hamper the reinforcement of nanostructures, such as alignment, dispersion of the filler and interfacial bonding between the filler and polymer, are outlined. Using suitable approaches, maximum potential reinforcement of nanoscale fillers can be anticipated without limitations in orientation, dispersion, and the integrity of the filler particle–matrix interface. High filler content polymer composites containing emerging materials such as 2D transition metal carbides, nitrides, and carbonitrides (MXenes) are expected in the future.

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