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

Robert M Auenhammer; Lars P Mikkelsen; Leif E Asp; Brina J Blinzler

doi:10.1016/j.dib.2020.106518

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

Data Brief. 2020 Nov 10:33:106518. doi: 10.1016/j.dib.2020.106518. eCollection 2020 Dec.

Authors

Robert M Auenhammer^{1

2}, Lars P Mikkelsen², Leif E Asp¹, Brina J Blinzler¹

Affiliations

¹ Industrial and Materials Science, Chalmers University of Technology, SE-41296 Göteborg, Sweden.
² Composite Materials, DTU Wind Energy, Technical University of Denmark, DK-4000 Roskilde, Denmark.

Abstract

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.

Keywords: Composites; Finite element modelling; Segmentation; X-ray computer tomography.