Back to Search
Start Over
Predictions of the electro-mechanical response of conductive CNT-polymer composites
- Source :
- Journal of the Mechanics and Physics of Solids
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- We present finite element simulations to predict the conductivity, elastic response and strain-sensing capability of conductive composites comprising a polymeric matrix and carbon nanotubes. Realistic representative volume elements (RVE) of the microstructure are generated and both constituents are modelled as linear elastic solids, with resistivity independent of strain; the electrical contact between nanotubes is represented by a new element which accounts for quantum tunnelling effects and captures the sensitivity of conductivity to separation. Monte Carlo simulations are conducted and the sensitivity of the predictions to RVE size is explored. Predictions of modulus and conductivity are found in good agreement with published results. The strain-sensing capability of the material is explored for multiaxial strain states.
- Subjects :
- Polymeric material
Technology
Materials science
Materials Science
Finite elements
Monte Carlo method
Modulus
Materials Science, Multidisciplinary
02 engineering and technology
Carbon nanotube
Conductivity
Mechanics
010402 general chemistry
CARBON NANOTUBES
01 natural sciences
09 Engineering
law.invention
Condensed Matter::Materials Science
DEFORMATION
Electrical resistivity and conductivity
law
Mechanical Engineering & Transports
Composite material
PIEZORESISTIVITY
Electrical conductor
01 Mathematical Sciences
Science & Technology
02 Physical Sciences
Physics
Mechanical Engineering
Linear elasticity
021001 nanoscience & nanotechnology
Condensed Matter Physics
Finite element method
0104 chemical sciences
Physics, Condensed Matter
Mechanics of Materials
Physical Sciences
0210 nano-technology
Strain-sensing
Subjects
Details
- ISSN :
- 00225096
- Volume :
- 114
- Database :
- OpenAIRE
- Journal :
- Journal of the Mechanics and Physics of Solids
- Accession number :
- edsair.doi.dedup.....5d94519ba1036e287add923f2c71fd95