Numerical failure modelling of natural fibre composite coupons using X-ray computed tomography based modelling
Journal article, 2024

Natural fibre composites offer versatile applications across industries while being superior in sustainability aspects compared to other composite types. To unlock their full potential, it is essential to understand their complex failure involving fibre failure, matrix cracking, and debonding at the fibre-matrix interface. Efforts to address these challenges focus on advanced numerical models, probing behaviour from micro to macro scales. However, these models face complexities in handling intricate failure modes given the non-uniform nature of natural fibres. To overcome these challenges, image-based modelling using X-ray computed tomography scans is proposed. This work’s novelty lies in integrating detailed microstructure information with a nonlinear calibration procedure to accurately model damage and failure in natural fiber composites. It marks a significant step toward developing a virtual testing model, paving the way for assessing composites with varying fiber content or fiber types.

CT

Fibre orientation analysis

Digital image correlation

Fibre orientation mapping

Author

Marcus Iversen

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Anton Årmann

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Robert Auenhammer

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Nikoleta Pasvanti

Volvo Cars

Johann Körbelin

Volvo Cars

Kai Kallio

Volvo Cars

Leif Asp

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Renaud Gutkin

Chalmers, Industrial and Materials Science

Tomography of Materials and Structures

2949-673X (ISSN)

Vol. 6 100042

UTMOST - Modelling of biobased composites in crash applications

VINNOVA (2021-05062), 2022-05-02 -- 2024-12-31.

Areas of Advance

Transport

Materials Science

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Subject Categories

Vehicle Engineering

Composite Science and Engineering

DOI

10.1016/j.tmater.2024.100042

More information

Created

11/26/2024