Conductive CNT-polymer nanocomposites digital twins for self-diagnostic structures: Sensitivity to CNT parameters

N. A. Gudkov, S. V. Lomov, I. S. Akhatov, S. G. Abaimov

Research output: Contribution to journalArticlepeer-review

Abstract

The paper describes digital twins for an electrically conductive isotropic CNT-polymer nanocomposite, using representative volume element with boundary conditions being periodic geometrically and electrically. During the CNT generation, the torsion and curvature of CNTs are controlled. The percolation threshold is analysed with scaling towards the infinite RVE. The digital twin sensitivity to model parameters is found as follows: (1) restrictions on the curvature/torsion ensure the independence of the homogenised conductivity on the CNTs discretisation; (2) the conductivity of the nanocomposite increases (for the same CNT volume fraction) with the increase of the CNT length and maximum torsion and decrease of the maximum curvature; (3) the percolation threshold, is in the range of 0.3–0.7% for different CNT parameters; it reduces in half with doubling the CNT length; the curvature and torsion have lesser influence. The critical percolation index is 1.2–1.7, which corresponds to the theoretical values for 3D networks.

Original languageEnglish
Article number115617
JournalComposite Structures
Volume291
DOIs
Publication statusPublished - 1 Jul 2022

Keywords

  • CNT-polymer nanocomposites
  • Material digital twin
  • Self-diagnostic and self-support
  • Smart materials and structures

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