Dataset of non-crimp fabric reinforced composites for an X-ray computer tomography aided engineering process
Artikel i vetenskaplig tidskrift, 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.

Composites

X-ray computer tomography

Finite element modelling

Segmentation

Författare

Robert Auenhammer

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Lars Mikkelsen

Danmarks Tekniske Universitet (DTU)

Leif Asp

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Brina Blinzler

Chalmers, Industri- och materialvetenskap, Material- och beräkningsmekanik

Data in Brief

2352-3409 (ISSN)

Vol. 33 December 106518

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

Europeiska kommissionen (EU), 2019-01-01 -- 2021-12-31.

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Materialvetenskap

Ämneskategorier

Teknisk mekanik

Kompositmaterial och -teknik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1016/j.dib.2020.106518

Mer information

Senast uppdaterat

2020-11-20