A hierarchical multiscale modelling approach to characterize the elastic response of layered graphene-reinforced 4D-carbon carbon composite

Ashish Kumar Srivastava, Vimal Kumar Pathak, Ramanpreet Singh, Rajesh Kumar, Indradeep Kumar, Manoj Agrawal, Ashish Saxena

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study is aimed to predict the effect of layering of graphene sheets (GSs) embedment in conventional carbon matrix of 4-dimensional carbon/carbon (4D-C/C) composite on the elastic modulus of 4D-C/C composite. Molecular dynamics methodology is employed to execute the nano-scale modeling and analysis of the single GS/layered GSs. Predicted elastic modulus of GS/GSs is utilized to estimate the elastic modulus of GS/GSs reinforced carbon matrix by employing semi-empirical Halpin–Tsai approach. At macro-scale, finite element methodology is utilized and elastic modulus of GS/GSs reinforced 4D-C/C composite is predicted. The elastic moduli of 4D-C/C composite are established to be improved in compared to the without GS/GSs reinforced 4D-C/C composite, due to better load carrying capacity of GSs embedded carbon matrix. Therefore, GS-embedded 4D-C/C composites can successfully replace currently used C/C composites for high strength applications.

Original languageEnglish
JournalInternational Journal on Interactive Design and Manufacturing
DOIs
StateAccepted/In press - 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature.

Keywords

  • Elastic modulus
  • Graphene
  • Hexagonal representative volume method (RVE)
  • Layering
  • Molecular dynamics
  • Multi-scale modelling
  • Nanocomposite

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