Literature DB >> 24341540

In situ scanning electron microscope peeling to quantify surface energy between multiwalled carbon nanotubes and graphene.

Michael R Roenbeck1, Xiaoding Wei, Allison M Beese, Mohammad Naraghi, Al'ona Furmanchuk, Jeffrey T Paci, George C Schatz, Horacio D Espinosa.   

Abstract

Understanding atomic interactions between constituents is critical to the design of high-performance nanocomposites. Here, we report an experimental-computational approach to investigate the adhesion energy between as-produced arc discharge multiwalled carbon nanotubes (MWCNTs) and graphene. An in situ scanning electron microscope (SEM) experiment is used to peel MWCNTs from graphene grown on copper foils. The force during peeling is obtained by monitoring the deflection of a cantilever. Finite element and molecular mechanics simulations are performed to assist the data analysis and interpretation of the results. A finite element analysis of the experimental configuration is employed to confirm the applicability of Kendall's peeling model to obtain the adhesion energy. Molecular mechanics simulations are used to estimate the effective contact width at the MWCNT-graphene interface. The measured surface energy is γ = 0.20 ± 0.09 J·m(-2) or γ = 0.36 ± 0.16 J·m(-2), depending on the assumed conformation of the tube cross section during peeling. The scatter in the data is believed to result from an amorphous carbon coating on the MWCNTs, observed using transmission electron microscopy (TEM), and the surface roughness of graphene as characterized by atomic force microscopy (AFM).

Entities:  

Year:  2014        PMID: 24341540     DOI: 10.1021/nn402485n

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  2 in total

1.  Measurement of the cleavage energy of graphite.

Authors:  Wen Wang; Shuyang Dai; Xide Li; Jiarui Yang; David J Srolovitz; Quanshui Zheng
Journal:  Nat Commun       Date:  2015-08-28       Impact factor: 14.919

2.  Surface Energy of Curved Surface Based on Lennard-Jones Potential.

Authors:  Dan Wang; Zhili Hu; Gang Peng; Yajun Yin
Journal:  Nanomaterials (Basel)       Date:  2021-03-09       Impact factor: 5.076

  2 in total

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