Close menu

SURE

Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Multiscale modelling of hybrid glass fibres reinforced graphene platelets polyamide PA6 matrix composites for crashworthiness applications

Elmarakbi, Ahmed, Azoti, Wiyao and Serry, Mohamed (2017) Multiscale modelling of hybrid glass fibres reinforced graphene platelets polyamide PA6 matrix composites for crashworthiness applications. Applied Materials Today, 6. ISSN 2352-9407

Item Type: Article

Abstract

This work investigates the crashworthiness response for a hierarchical modelling of hybrid composite material consisting of short-glass fibres reinforced graphene platelets polyamide PA6 matrix. A multiscale approach, using both mean-field homogenisation and finite element FE techniques, is employed to derive the overall response. Graphene is considered as platelets GPL embedded within an elasto plastic matrix phase. The 2-phases composite response is, therefore, computed under the Mori-Tanaka micromechanics scheme by accounting for the GPL spatial orientation. The modelling of hybrid 3-phases composites consists of a hierarchical double-scale approach, which includes the 2-phases GPL/polymer composite and short glass fibres as reinforcements. Numerical characterisations involving tensile, compression, fracture toughness and Charpy impact tests enable the determination of damage/failure thresholds for crashworthiness applications. The full crash box is simulated by implementing the constitutive 3-phases composite using a user-defined Digimat/LS-DYNA linkage. Numerical results, which are compared to those from conventional steel and glass fibres composites, show the contribution of the GPL volume fraction in the improvement of the specific energy absorption SEA.

[img]
Preview
PDF
AMT_2016_197-fRevised.pdf - Accepted Version

Download (1MB) | Preview

More Information

Depositing User: Barry Hall

Identifiers

Item ID: 6838
Identification Number: https://doi.org/10.1016/j.apmt.2016.11.003
ISSN: 2352-9407
URI: http://sure.sunderland.ac.uk/id/eprint/6838
Official URL: http://www.sciencedirect.com/science/article/pii/S...

Users with ORCIDS

ORCID for Ahmed Elmarakbi: ORCID iD orcid.org/0000-0002-7479-3870

Catalogue record

Date Deposited: 09 Dec 2016 14:16
Last Modified: 10 Jun 2021 15:30

Contributors

Author: Ahmed Elmarakbi ORCID iD
Author: Wiyao Azoti
Author: Mohamed Serry

University Divisions

Faculty of Technology > School of Engineering

Subjects

Engineering > Automotive Engineering

Actions (login required)

View Item (Repository Staff Only) View Item (Repository Staff Only)