3D Simulation Modeling for the Electrical Conductivity of Carbon Nanotube Networks in Polymer Nanocomposites

2021 ◽  
Vol 896 ◽  
pp. 39-44
Author(s):  
Yuan Zheng Luo ◽  
You Qi Wan ◽  
Wei Hong
Keyword(s):  
Carbon Nanotubes ◽  
Electrical Conductivity ◽  
Aspect Ratio ◽  
Search Algorithm ◽  
Three Dimensional ◽  
Conductive Network ◽  
Dimethyl Siloxane ◽  
Potential Applications ◽  
The Relationship ◽  
Carbon Nanotube Networks

In this paper, we developed a three-dimensional percolation model to investigate the effects of the concentration and morphology of CNTs (carbon nanotubes) on the electrical conductivity of the nanocomposites. In the model, we judged the connections between CNTs by range search algorithm based on KD-Tree structure. At the same time, DIJKSTRA-Melissa algorithm was applied to efficiently find all the conductive paths instead of finding conductive network in traditional methods. From the simulation results, CNTs with higher aspect ratio were easier to form the conductive network. In a certain range of CNT’s concentration, the relationship between the conductivity of the conductive network and the carbon nanotubes was basically consistent with the classical percolation theory. To verify our simulation model, the morphological, electrical properties of Carbon nanotubes (CNTs)/poly(dimethyl siloxane) (PDMS) nanocomposites with different aspect ratio (AR) of MWNTs were systematically studied. In conclusion, these unique advantageous properties could be exploited to suggest potential applications of artificial electronic skin.

scholarly journals Applications of three-dimensional carbon nanotube networks

2015 ◽  
Vol 6 ◽  
pp. 792-798 ◽  
Author(s):  
Manuela Scarselli ◽  
Paola Castrucci ◽  
Francesco De Nicola ◽  
Ilaria Cacciotti ◽  
Francesca Nanni ◽  
...  
Keyword(s):  
Incident Light ◽  
Three Dimensional ◽  
Synthesis Process ◽  
Ultraviolet Region ◽  
External Diameter ◽  
Near Ultraviolet ◽  
Marked Variability ◽  
Potential Applications ◽  
The Relationship ◽  
Carbon Nanotube Networks

In this paper, we show that it is possible to synthesize carbon-based three-dimensional networks by adding sulfur, as growth enhancer, during the synthesis process. The obtained material is self-supporting and consists of curved and interconnected carbon nanotubes and to lesser extent of carbon fibers. Studies on the microstructure indicate that the assembly presents a marked variability in the tube external diameter and in the inner structure. We study the relationship between the observed microscopic properties and some potential applications. In particular, we show that the porous nature of the network is directly responsible for the hydrophobic and the lipophilic behavior. Moreover, we used a cut piece of the produced carbon material as working electrode in a standard electrochemical cell and, thus, demonstrating the capability of the system to respond to incident light in the visible and near-ultraviolet region and to generate a photocurrent.

scholarly journals Growth and structural discrimination of cortical neurons on randomly oriented and vertically aligned dense carbon nanotube networks

2014 ◽  
Vol 5 ◽  
pp. 1575-1579 ◽  
Author(s):  
Christoph Nick ◽  
Sandeep Yadav ◽  
Ravi Joshi ◽  
Christiane Thielemann ◽  
Jörg J Schneider
Keyword(s):  
Carbon Nanotubes ◽  
Carbon Nanotube ◽  
Cortical Neurons ◽  
Three Dimensional ◽  
Vertically Aligned Carbon Nanotubes ◽  
Aligned Carbon Nanotubes ◽  
Vertically Aligned ◽  
The Individual ◽  
Carbon Nanotube Networks ◽  
Communication Paths

The growth of cortical neurons on three dimensional structures of spatially defined (structured) randomly oriented, as well as on vertically aligned, carbon nanotubes (CNT) is studied. Cortical neurons are attracted towards both types of CNT nano-architectures. For both, neurons form clusters in close vicinity to the CNT structures whereupon the randomly oriented CNTs are more closely colonised than the CNT pillars. Neurons develop communication paths via neurites on both nanoarchitectures. These neuron cells attach preferentially on the CNT sidewalls of the vertically aligned CNT architecture instead than onto the tips of the individual CNT pillars.

Functional Nanodiamond Internalization Mechanisms and Kinetics

2010 ◽  
Author(s):  
Robert Lam ◽  
Xueqing Zhang ◽  
Mark Chen ◽  
Dean Ho
Keyword(s):  
Carbon Nanotubes ◽  
Drug Delivery ◽  
Surface Modification ◽  
Aspect Ratio ◽  
Biomedical Applications ◽  
Internalization Mechanism ◽  
Mechanism And Kinetics ◽  
Energy Dependent ◽  
The Relationship ◽  
Kinetics Of

Several reports have described the relationship between size, aspect ratio, surface modification and internalization for a variety of nanoparticles (i.e. gold, polymer, carbon nanotubes). Nanodiamonds (NDs) in particular have recently been implicated in a variety of biomedical applications. One of the most promising is in utilizing NDs as drug delivery carriers where successful internalization is of utmost importance. A few reports recently have demonstrated the energy dependent internalization of bare NDs. In this report, we investigate the internalization mechanism and kinetics of functional ND-conjugate translocation.

Tunneling Effects and Electrical Conductivity of CNT Polymer Composites

2011 ◽  
Vol 1304 ◽  
Author(s):  
S. Xu ◽  
O. Rezvanian ◽  
K. Peters ◽  
M.A. Zikry
Keyword(s):  
Electrical Conductivity ◽  
Polymer Composites ◽  
Current Flow ◽  
Electron Tunneling ◽  
Search Algorithm ◽  
Matrix Material ◽  
Three Dimensional ◽  
Current Transport ◽  
Current Densities ◽  
Tunneling Distance

ABSTRACTA three-dimensional (3D) carbon nanotube (CNT) network computational model was developed to investigate the electrical conductivity and current flow in polymer composites with randomly dispersed CNTs. A search algorithm was developed to determine conductive paths for 3D CNT arrangements and to account for electron tunneling effects. Tunneled currents were obtained as a function of tunneling distance and matrix material. Several possible CNT conductive paths were obtained and finite-element representative volume elements (RVEs) were then used to predict current densities in different CNT arrangements. The predictions indicate that random CNT arrangements can be optimized for current transport.

A Comparison of the Effect of Hydroxyl Modified Carbon Nanotubes and Graphenes on the Electrical and Mechanical Properties of Their Polyurethane Composites

2012 ◽  
Vol 622-623 ◽  
pp. 781-786
Author(s):  
Sarojini Swain ◽  
Subhendu Bhattacharya ◽  
Ram Avatar Sharma ◽  
Lokesh Chaudhari
Keyword(s):  
Carbon Nanotubes ◽  
Electrical Conductivity ◽  
Filler Content ◽  
Graphene Nanosheets ◽  
Three Dimensional ◽  
Conduction System ◽  
Multi Walled Carbon Nanotubes ◽  
Electrical Conduction Mechanisms ◽  
Modified Carbon Nanotubes ◽  
Walled Carbon Nanotubes

Hydroxyl modified multi-walled carbon nanotubes (OH-MWCNT)/ polyurethane (PU) and graphene nanosheets (GNS)/PU composites were prepared by dispersing the OH-MWCNT and GNS at different wt % in to the PU matrix. It was found that the electrical percolation threshold of the GNS/PU composite is much higher compared to that of OH-MWCNT/PU and also the electrical conductivity of the OH-MWCNT/PU composite is higher than the GNS/PU composite in the same level of filler content. This may be due to the two composites having different electrical conduction mechanisms: The OH-MWCNT/PU composite represents a three dimensional conduction system while, the GNS/PU composite represents a two dimensional conduction system. The improvement in the electrical conductivity with the incorporation of GNS as a filler in the composite is far lower than what theoretically expected. It is also observed that the tensile strength of the OH-MWCNT/PU composite is higher compared to the GNS/PU in the same level filler content.

Fabrication of Electrically Conductive Si3N4 Ceramics by Dispersion of Carbon Nanotubes

2008 ◽  
Vol 403 ◽  
pp. 19-22 ◽  
Author(s):  
Sara Yoshio ◽  
Junichi Tatami ◽  
Toru Wakihara ◽  
Katsutoshi Komeya ◽  
Takeshi Meguro
Keyword(s):  
Carbon Nanotubes ◽  
Electrical Conductivity ◽  
Aspect Ratio ◽  
Xrd Analysis ◽  
Milling Process ◽  
Electrically Conductive ◽  
Sintering Aid ◽  
Lower Temperature ◽  
Different Characteristics ◽  
Si3n4 Ceramics

Electrically conductive Si3N4 ceramics were fabricated by dispersion of different characteristics of carbon nanotubes (CNTs). When the sintering aid of Y2O3-Al2O3-TiO2-AlN was used for lower temperature densification, it was confirmed that CNTs existed in Si3N4 ceramics from SEM observation and SiC was not identified in XRD analysis, which means that CNTs did not react with Si3N4. Relative density and electrical conductivity of the CNT dispersed Si3N4 ceramics depended on the characteristics of CNTs. Aggregation of CNTs, which is outstanding in much thinner CNTs, should limit densification of Si3N4. CNTs were well-dispersed by beads milling in ethanol. As a result, beads milling process was confirmed to be effective in unraveling and dispersing CNTs. It was shown that better dispersion of CNTs with higher aspect ratio resulted in higher density and electrical conductivity.

Simulation on Electrical Conductivity of CNTs/PE Composites

2014 ◽  
Vol 1035 ◽  
pp. 408-412
Author(s):  
Chang Ming Li ◽  
Chun Yang Li ◽  
Cheng Cheng Zhang ◽  
Ming Yue Fan ◽  
Yan Li Cheng ◽  
...  
Keyword(s):  
Electrical Conductivity ◽  
Aspect Ratio ◽  
Simulation Models ◽  
Electrical Current ◽  
The Finite Element Method ◽  
Electrical Field ◽  
Electrical Field Strength ◽  
Orientation Degree ◽  
The Relationship ◽  
Applied Electrical Field

In order to investigate the electrical conductivity of carbon nanotubes (CNTs)/polyethylene (PE) composites, the relationship curves between the external electrical filed strength and the electrical conductivity of CNTs/PE composites with different microstructures were generated based on numerical simulation. The simulation models of CNTs/PE composites were designed through changing the content, aspect ratio and orientation degree of CNTs. After DC electrical field is applied between top and bottom surfaces of the composites, the distribution of electrical current density was calculated based on the finite element method by using the COMSOL simulating software, and then the electrical conductivity is obtained. Research results indicated the electrical conductivity of the composites increases significantly with the increase of aspect ratio of CNTs at the same CNT content and electrical field strength. As the orientation degree of CNTs along the applied electrical field increases, the electrical conductivity of the composites obviously increases. It can therefore be concluded that the changing of microstructures of CNTs/PE composites is effective to control the electrical conductivity of the composites.

Microstructural Modeling of Electrical Behavior in CNT Polymer Composites

2012 ◽  
Vol 1420 ◽  
Author(s):  
S. Xu ◽  
O. Rezvanian ◽  
K. Peters ◽  
M.A. Zikry
Keyword(s):  
Electrical Conductivity ◽  
Polymer Composites ◽  
Electron Tunneling ◽  
Search Algorithm ◽  
Three Dimensional ◽  
Thermal Flow ◽  
Electrical Behavior ◽  
Microstructural Modeling ◽  
Polymer Dispersions ◽  
Tunneling Distance

ABSTRACTA three-dimensional (3D) carbon nanotube (CNT) resistor network computational model was developed to investigate the electrical conductivity, and current and thermal flow in polymer composites with randomly dispersed CNTs. A search algorithm was developed to determine conductive paths for 3D CNT arrangements and to account for electron tunneling effects. By coupling Maxwell specialized finite-element (FE) formulation with Fermi-based tunneling resistance, specialized FE techniques were then used to obtain current density evolution for different CNT/polymer dispersions and tunneling distances. These computational approaches address the limitations of percolation theories that are used to estimate electrical conductivity of CNTs. The predictions indicate that tunneling distance significantly affects 3D electrical conductivity and thermal distributions.

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