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Journal article

Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites

In Data in Brief 2021, Volume 35, pp. 106868
From

Composites Manufacturing and Testing, Wind Energy Materials and Components Division, Department of Wind Energy, Technical University of Denmark1

Department of Wind Energy, Technical University of Denmark2

Composites Analysis and Mechanics, Wind Energy Materials and Components Division, Department of Wind Energy, Technical University of Denmark3

The fatigue damage evolution depends on the local fiber volume fraction as observed in the co-submitted publication [1]. Conventionally, fiber volume fractions are determined as an averaged overall fiber volume fraction determined from small cuts of the laminate. Alternatively, automatically stitching of scanning electron microscopy (SEM) images can make high-resolution scans of large cross-section area with large contrast between the polymer and glass-fiber phase.

Therefore, local distribution of the fiber volume fraction can be characterized automatically using such scan-data. The two datasets presented here cover two large Field of Views scanning electron microscopy (SEM) images. The two images is generated from between 1200 to 1800 high-resolution scan pictures which have been stitched into two high-resolution tif-files.

The resolution corresponds to between 700-5000 pixels covering each fibre. The datasets are coming from two different non-crimp fabric glass fibre reinforced epoxy composites typically used in the wind turbine industry. Depending on the regions analyzed, fibre volume fraction in the range of 50-85% is found.

The maximum local fibre volume fraction is found averaging the local fibre volume fraction over 5 × 5 fibre diameter (80 × 80 µm2) areas. The local fibre volume fraction has been used in the analysis performed in [1].

Language: English
Publisher: Elsevier
Year: 2021
Pages: 106868
ISSN: 23523409
Types: Journal article
DOI: 10.1016/j.dib.2021.106868
ORCIDs: Mikkelsen, Lars P. , Fæster, Søren and Sørensen, Bent F.

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