2018
DOI: 10.1016/j.carbon.2017.12.078
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Mesoscopic modeling of structural self-organization of carbon nanotubes into vertically aligned networks of nanotube bundles

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Cited by 16 publications
(7 citation statements)
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“…For a given N B , an equivalent diameter of a circular bundle can be calculated as D B = (2R T + δh 0 )[6N B /(π√3)] 1/2 . 91 The average ⟨D⟩, most probable D 0 , and maximum D max diameters of equivalent circular bundles are listed in the inset of Figure 4d. All these diameters monotonically increase with increasing diameter of individual nanotubes.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
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“…For a given N B , an equivalent diameter of a circular bundle can be calculated as D B = (2R T + δh 0 )[6N B /(π√3)] 1/2 . 91 The average ⟨D⟩, most probable D 0 , and maximum D max diameters of equivalent circular bundles are listed in the inset of Figure 4d. All these diameters monotonically increase with increasing diameter of individual nanotubes.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…The larger average bundle sizes reported in refs 28 and 48, compared to the bundle sizes in the in-silico-generated films, can be also explained by a few-fold larger density of CNT films used in experiments, compared to the samples considered in the present work, as ⟨D⟩ increases with increasing material density. 91 Computational Setup for In-Plane Tension and Compression of CNT Films and Effect of the Deforma- tion Velocity. The in-silico-generated film samples are subjected to the in-plane tensile or compressive mechanical loading under conditions of a constant mesoscopic temperature of 300 K. For this purpose, the periodic boundary conditions in the direction of applied deformation Ox (the horizontal direction in Figure 4a−c) are released by "cutting" the CNTs that cross the sample boundaries perpendicular to that direction.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…The use of the structure directly duplicated from scanning electron microscopy (SEM) images enabled successful simulation of the role of each structure type in the VA-SWCNT forest. Further research on multiscale modeling that showed good efficiency and precision for the VA-SWCNT forest 28 , 29 proved that even the dynamic replication of VA-SWCNTs in chemical vapor deposition (CVD) and its further processing 32 are feasible.…”
Section: Introductionmentioning
confidence: 99%
“…The CG modeling for saving the computational expenses of atomic simulation directly means that the trial should lose its detailed dynamic characteristics caused by such condition. Most progressed CGMD simulation for morphology, such as VA-SWCNT forest 28,29 or buckypaper 26,27 , has a cylinder shaped CNT to keep realistic dynamic and structural characteristics with taking computational expanse. Some exceptions are dissipative particle dynamics (DPD) modeling with polymers [33][34][35] and the mathematical random network of the sparse entanglement 36 .…”
mentioning
confidence: 99%
“…Among them, vertically aligned (VA) CNT pillars have been recognized as a promising structural material for the fabrication of high aspect ratio (AR) 3D micro- and nano-architectures [ 24 , 25 ]. VACNT pillars represent a promising class of mechanically strong and resilient lightweight materials, capable of supporting large reversible deformation and absorbing mechanical energy [ 26 ]. The mechanical response of VACNTs to uniaxial compression depends on various factors, including the material microstructure, density, height, rate of deformation, and the nature of the interaction between the CNTs and the compressing indenter [ 27 ].…”
Section: Introductionmentioning
confidence: 99%