Mechanical Prediction of Graphene-Based Polymer Nanocomposites for Energy-Efficient and Safe Vehicles

Ahmed Elmarakbi, Wiyao Azoti

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

This work investigates efficient ways of lightweighting vehicles structures based on Graphene-related materials (GRMs). An integration of Graphene as polymer reinforcements within composite materials for energy-efficient and safe vehicles (EESVs) is addressed with respect to some technological challenges, for instance, the lack of constitutive material models for high-performance structural applications. Therefore, accurate material models need to be developed to support simulation of structural design for these vehicles. A multiscale modeling of Graphene-reinforced polymer composite is elaborated, and using the Mori-Tanaka micromechanics scheme, the effective nonlinear behavior is predicted for various microparameters such as the aspect ratio and volume fractions. The results show an enhancement of the equivalent macro-stress-strain response when the aspect ratio is low corresponding to platelets-like inclusions. Also, the volume fraction is seen to have a good improvement on the composite response. The results highlight the effect of Graphene platelets versus carbon and glass fibers in the design of lightweight structures with enhanced mechanical responses and by consequence a CO2 emissions reduction.
Original languageEnglish
Title of host publicationExperimental Characterization, Predictive Mechanical and Thermal Modeling of Nanostructures and their Polymer Composites
PublisherElsevier
Pages159-177
ISBN (Print)978-0-323-48061-1
DOIs
Publication statusPublished - 10 Mar 2018

Publication series

NameMiro and Nano Technologies Series

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