Published December 2021 | Version v1
Journal article

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

  • 1. Institute of Solid Mechanics, School of Aeronautic Science and Engineering, Beihang University (BUAA), Beijing 100083 (China)
  • 2. Aircraft & Propulsion Laboratory, Ningbo Institute of Technology (NIT), Beihang University (BUAA), Ningbo 315832, P.R. (China)

Description

Highlights: • Monolayer graphene networks possess better mechanical properties than bilayer or multi-layer graphene networks. • Graphene bending and slippage dominate mechanical behavior of monolayer graphene networks. • Mechanical properties of networks with Gaussian distributed graphene length is slightly higher. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apsusc.2021.151023

Additional details

Identifiers

DOI
10.1016/j.apsusc.2021.151023;
PII
S0169433221020808;

Publishing Information

Journal Title
Applied Surface Science
Journal Volume
570
Journal Page Range
vp.
ISSN
0169-4332
CODEN
ASUSEE

INIS

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.