Modeling of an effect of uniaxial deformation on electrical conductance of polypropylene-based composites filled with agglomerated nanoparticles

In this work electrically conductive polypropylene-based composites filled with multi-walled carbon nanotubes (MWCNTs) and particles of carbon black (CB) were studied. The composites were manufactured using melt mixing of the mechanical mixture of the filler powder and polymer pellets. The composite...

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Bibliographic Details
Published in:International journal of engineering science 2019-11, Vol.144, p.103132, Article 103132
Main Authors: Lebedev, Oleg V., Trofimov, Anton, Abaimov, Sergey G., Ozerin, Alexander N.
Format: Article
Language:English
Subjects:
Carbon
Carbon black
Composite structures
Conductivity
Deformation
Deformation effects
Electrical properties
Electrical resistance
Finite element method
Functional composites
Mathematical models
Multi wall carbon nanotubes
Nanoparticles
Nanotubes
Non-destructive testing
Numerical methods
Polymer matrix composites
Polymers
Polypropylene
Resistance
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Summary:In this work electrically conductive polypropylene-based composites filled with multi-walled carbon nanotubes (MWCNTs) and particles of carbon black (CB) were studied. The composites were manufactured using melt mixing of the mechanical mixture of the filler powder and polymer pellets. The composites electrical conductance was measured while subjected to uniaxial deformation. A numerical modeling approach based on Finite Element Method (FEM) was proposed to predict the conductive system transformation as a response to composite material deformation. This approach considers experimentally observed composite structure and deformational behavior of the MWCNTs or clusters of CB particles taking into account highly agglomerated state of the nanoparticles that was obtained in the tested samples. The numerical predictions of correlation between applied deformation and electrical conductance of the composites were compared against the experimental data and it was concluded, that the proposed numerical methods provide satisfactory estimations.
ISSN:0020-7225
1879-2197
DOI:10.1016/j.ijengsci.2019.103132