Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process
Journal article, 2020

This data in brief article describes a dataset used for an X-ray computer tomography aided engineering process consisting of X-ray computer tomography data and finite element models of non-crimp fabric glass fibre reinforced composites. Additional scanning electron microscope images are provided for the validation of the fibre volume fraction. The specimens consist of 4 layers of unidirectional bundles each supported by off-axis backing bundles with an average orientation on ±80°. The finite element models, which were created solely on the image data, simulate the tensile stiffness of the samples. The data can be used as a benchmark dataset to apply different segmentation algorithms on the X-ray computer tomography data. It can be further used to run the models using different finite element solvers.

Segmentation

X-ray computer tomography

Finite element modelling

Composites

Author

Robert Auenhammer

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Lars Mikkelsen

Technical University of Denmark (DTU)

Leif Asp

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Brina Blinzler

Chalmers, Industrial and Materials Science, Material and Computational Mechanics

Data in Brief

2352-3409 (ISSN)

Vol. 33 106518

MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING).

European Commission (EC), 2019-01-01 -- 2021-12-31.

Driving Forces

Sustainable development

Areas of Advance

Transport

Materials Science

Subject Categories

Applied Mechanics

Composite Science and Engineering

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1016/j.dib.2020.106518

PubMed

33294516

More information

Latest update

2/26/2021