Reversible plasticity shape memory effect in epoxy/CNT nanocomposites - A theoretical study

A theoretical investigation on the reversible plasticity shape memory (RPSM) properties of Multi-Walled Carbon Nanotubes (MWCNT) reinforced epoxy nanocomposites is presented. A typical RPSM cycle involves loading and stress relaxation below the glass transition temperature and unconstrained strain r...

Full description

Saved in:
Bibliographic Details
Published in:Composites science and technology 2017-03, Vol.141, p.145-153
Main Authors: Abishera, R., Velmurugan, R., Gopal, K.V. Nagendra
Format: Article
Language:English
Subjects:
Carbon
Carbon nanotubes
Carbon-epoxy composites
Computer simulation
Elastic properties
Glass transition temperature
Mechanical properties
Modeling
Multi wall carbon nanotubes
Nanocomposites
Nanotubes
Plastic deformation
Plastic properties
Relaxation time
Shape memory
Smart materials
Strain rate
Stress relaxation
Studies
Thermomechanical properties
Viscoelasticity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A theoretical investigation on the reversible plasticity shape memory (RPSM) properties of Multi-Walled Carbon Nanotubes (MWCNT) reinforced epoxy nanocomposites is presented. A typical RPSM cycle involves loading and stress relaxation below the glass transition temperature and unconstrained strain recovery above glass transition temperature. This paper attempts to study the underlying mechanisms by employing a thermo-visco-elastic model incorporating structural and stress relaxation mechanisms. The effective properties of the nanocomposites were determined from basic micro-mechanics models and standard thermo-mechanical experiments. The variations in model parameters between neat and filled epoxy were studied and the influence of MWCNT on the material behavior are discussed. The simulations agreed quite well with the experimental results for both neat and filled epoxy. The model was further able to capture the thermo-mechanical behavior under different programming conditions like strain rate, strain level and relaxation time.
ISSN:0266-3538
1879-1050
DOI:10.1016/j.compscitech.2017.01.020