4.7 Article

Effects of graphene thickness and length distribution on the mechanical properties of graphene networks: A coarse-grained molecular dynamics simulation

期刊

APPLIED SURFACE SCIENCE
卷 570, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.apsusc.2021.151023

关键词

Graphene networks; Thickness effect; Length distribution; Mechanical properties; Deformation mechanisms; Molecular dynamics simulation

资金

  1. National Natural Science Foundation of China [11972057, 11972058]
  2. National Key Research and Development Program of China [2017YFB1104003]
  3. Beijing Municipal Science and Technology Commission [Z191100004619006]
  4. Super Computing Center ScGrid/CNGrid of CAS

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The thickness of graphene layers plays a crucial role in the mechanical properties of 3D graphene networks. Monolayer graphene exhibits high strength and modulus under both tensile and compressive loading. Networks with Gaussian length distribution tend to have higher compressive properties due to their higher density.
Assembling graphene into three-dimensional (3D) structure while preserving the superior physical properties of graphene have attracted a great deal of attention for its potential applications. Here, to reveal the effects of graphene thickness and length distribution on the mechanical behaviors of graphene networks, molecular dynamics simulations were performed based on a coarse-grained graphene model, which demonstrates that the thickness of graphene layers plays an important role in the mechanical properties of 3D graphene networks. Monolayer graphene is flexible and can be easily crumpled, thus strengthening interaction between different graphene sheets. High strength and modulus can be achieved for monolayer graphene networks both under uniaxial tensile and compressive loading, which is attributed to the combination of out-of-plane deformation of monolayer graphene and inter-graphene slippage. Comparing with the graphene networks with different structure, the networks with Gaussian distributed graphene length shows slightly higher compressive mechanical properties due to the higher density. This work can provide guidelines for the design of graphene networks with better mechanical properties and might promote the application of 3D graphene networks.

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