Modeling of carbon nanotubes and carbon nanotube–polymer composites

Pal, Ghanshyam; Kumar, Shakti

doi:10.1016/j.paerosci.2015.12.001

Cited by 78 publications

(28 citation statements)

References 209 publications

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“…In terms of modelling the behaviour of CNT, several approaches are adopted in the literature ranging from atomistic simulations to conventional continuum models [3,4]. Though some of the features of CNT (and its composite) behaviour cannot be addressed by continuum modelling approaches, it is generally observed that such continuum approaches are very useful in understanding their structural behaviour and further can be utilised for rapid structural design purposes involving CNT reinforced composite materials [5][6][7][8][9][10][11][12].…”

Section: Fig 1 Schematic Of a Carbon Nanotubementioning

confidence: 99%

Asymptotic Modeling of Nonlinear Bending and Buckling Behavior of Carbon Nanotubes

2019

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The present work investigates the nonlinear bending and buckling behavior of Carbon Nano-Tubes (CNTs) using Variational Asymptotic Method (VAM). Considering a CNT as a slender beam structure, an asymptotically-correct nonlinear continuum beam model is presented. Through the resulting nonlinear moment-curvature relationship, the model captures the phenomenon of ovalization of the cross-sections and local buckling of the CNT, which arises due to their geometrical nature. Further studies are performed in order to explore the effect of CNT wall thickness on the nonlinear bending behavior of the CNT structure. It is shown that the continuum modeling approach can capture the ovalization and further localization of the CNT deformation under bending. The study aims to provide a reduced-order modeling framework analyzing the inherent nonlinearities associated with the geometrical nature of CNTs.

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Section: Fig 1 Schematic Of a Carbon Nanotubementioning

confidence: 99%

Asymptotic Modeling of Nonlinear Bending and Buckling Behavior of Carbon Nanotubes

2019

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“…These include using analytical models to predict the macroscopic response of a nanocomposite [22] and application of neural networks to simulate the influence of nanotubes on the properties of the given material [23]. Computer experiments on the effect of CNT agglomeration on the conductivity of CNT-based polymer composite were performed in [24].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling and quantitative analysis of connectivity and conductivity in random networks of nanotubes

Stelmashchuk

Karbovnyk

Klym

et al. 2017

EEJET

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“…The properties of CNTs at the atomistic level are primarily influenced by nanoscale defects (e.g., vacancy defects) and chemical functionalization, while those of the polymer matrix are essentially governed by the size of the polymer chains and their molecular arrangement (i.e., whether the matrix is amorphous or crystalline). These factors together with the interfacial properties of CNTs and the host matrix will determine the macroscopic properties of the resulting CPC in a given environment .…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties of carbon nanotube‐filled polyethylene composites: A molecular dynamics simulation study

et al. 2018

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Molecular dynamics (MDs) simulations are carried out to study the mechanical properties of low‐ and high‐density polyethylene (LDPE and HDPE) and their composites filled with carbon nanotubes (CNTs). The influences of the number of polymer chains, CNT type and concentration, and strain rate on the predicted mechanical properties are studied. Two different temperatures of 100 and 300 K are used to represent the glassy and rubbery states of the polymers, respectively. Results indicate that the models typically show four stages of deformation before failure: linear elastic and yield followed by strain softening and strain hardening. Thepristine models simulated at a given temperature exhibit a similar behavior regardless of their density, especially during the linear elastic stage. The HDPE models exhibit fairly similar behaviors in their strain‐hardening response regardless of the number of chains, while this factor considerably influences the strain‐hardening response of the LDPE models. Strain rate is shown to have a strong influence on different mechanical characteristics of all of polymer models examined (i.e., elastic modulus, yield stress, post‐yield strain softening, and strain hardening behavior). In contrast, LDPE and HDPE composites exhibit essentially the same behavior and similar failure characteristics under a given temperature regardless of the strain rate applied. The tensile strength of CNT‐filled LDPE and HDPE increases linearly with CNT concentration within the range of concentrations studied (0.79–2.63 wt%) and is inversely proportional to the CNT chirality. The results are thoroughly discussed and the factors contributing to their departure from reference laboratory data are outlined. POLYM. COMPOS., 40:E1850–E1861, 2019. © 2018 Society of Plastics Engineers

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Modeling of carbon nanotubes and carbon nanotube–polymer composites

Cited by 78 publications

References 209 publications

Asymptotic Modeling of Nonlinear Bending and Buckling Behavior of Carbon Nanotubes

Asymptotic Modeling of Nonlinear Bending and Buckling Behavior of Carbon Nanotubes

Modeling and quantitative analysis of connectivity and conductivity in random networks of nanotubes

Mechanical properties of carbon nanotube‐filled polyethylene composites: A molecular dynamics simulation study

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