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Research Papers

Tunable Mechanical Behavior of Carbon Nanoscroll Crystals Under Uniaxial Lateral Compression

[+] Author and Article Information
Xinghua Shi

e-mail: shixh@imech.ac.cn

Qifang Yin

State Key Laboratory of Nonlinear Mechanics,
Institute of Mechanics,
Chinese Academy of Sciences,
Beijing 100190, China

Nicola M. Pugno

Laboratory of Bio-Inspired and Graphene
Nanomechanics,
Department of Civil, Environmental and
Mechanical Engineering,
University of Trento via Mesiano,
77 Trento, I-38123Italy

Huajian Gao

School of Engineering,
Brown University,
610 Barus & Holley,
182 Hope Street,
Providence, RI 02912
e-mail: huajian_gao@brown.edu

Contributed by the Applied Mechanics Division of ASME for publication in the JOURNAL OF APPLIED MECHANICS. Manuscript received April 2, 2013; final manuscript received April 26, 2013; accepted manuscript posted May 7, 2013; published online September 16, 2013. Editor: Yonggang Huang.

J. Appl. Mech 81(2), 021014 (Sep 16, 2013) (6 pages) Paper No: JAM-13-1145; doi: 10.1115/1.4024418 History: Received April 02, 2013; Revised April 26, 2013; Accepted May 07, 2013

A theoretical model is developed to investigate the mechanical behavior of closely packed carbon nanoscrolls (CNSs), the so-called CNS crystals, subjected to uniaxial lateral compression/decompression. Molecular dynamics simulations are performed to verify the model predictions. It is shown that the compression behavior of a CNS crystal can exhibit strong hysteresis that may be tuned by an applied electric field. The present study demonstrates the potential of CNSs for applications in energy-absorbing materials as well as nanodevices, such as artificial muscles, where reversible and controllable volumetric deformations are desired.

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References

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Figures

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Fig. 1

Schematic illustration of a crystal of carbon nanoscrolls with inner core radius r0, outer radius R and interlayer spacing h under uniaxial compression

Grahic Jump Location
Fig. 2

Variation of the contact layer number n with the increasing compressive stress p¯, where n decreases mildly as p¯ increases. The parameters adopted in the calculations are B¯ = 270,γ¯ = 0.136,η = 1 (black), γ¯ = 0.136,η = 0.8 (red), and γ¯ = 0.68,η = 1 (blue).

Grahic Jump Location
Fig. 3

Snapshots of MD simulation results showing the evolution of a CNS crystal under uniaxial compression/decompression

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Fig. 4

The core size of CNSs normalized by h as a function of the number of layers. For comparison, the critical sizes normalized by h associated with self-collapse and self-recovery for CNTs are shown as black and red lines, respectively. Other system parameters are taken to be γ¯ = 0.136λ, η = 1 and (a) λ = 1, (b) λ = 0.2.

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Fig. 5

Stress-strain profiles of the CNS crystal under uniaxial compression (blue circles)/decompression (green triangles) under different LJ energy tuning parameter (a) λ = 1 and (b) λ = 0.4. The solid lines indicate theoretical results with parameters B¯ = 270,γ¯ = 0.136λ, η = 0.4 (blue), 0.6 (red), 1 (magenta) and η = 12 for λ = 1, η = 10 for λ = 0.4. (c) The normalized pull-off force (see arrows in Figs. 5(a) and 5(b)) for CNSs to recover from the collapsed state under different values of the LJ energy tuning parameter λ. (d) The normalized energy dissipated during a loading-unloading cycle under different values of the LJ energy tuning parameter λ.

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Fig. 6

Stress-strain profiles of a CNS crystal under uniaxial lateral compression with different lengths of the basal graphene that rolls into individual CNSs

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Fig. 7

Comparison of the stress-strain profiles for (a) CNS compressed under different strain rate and (b) CNTs and CNSs under uniaxial lateral compression

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Fig. 8

Snapshots of MD simulation results showing the initial and final states of a CNS crystal under equibiaxial compression/decompression

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Fig. 9

Stress-strain profiles of CNSs under biaxial compression/decompression under different values of the LJ energy factor λ. The lines are the theoretical results with η = 0.5, B¯ = 270,γ¯ = 0.136λ.

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