Description
SEM data and segmentation of two non-crimp fabric cases used in the following two publications to where the references should be given.
Sørensen, B.F., Goutianos, S., Mikkelsen, L.P., Fæster, S. (2021). Fatigue damage growth and fatigue life of unidirectional composites. Composites Science and Technology, (in press), https://doi.org/10.1016/j.compscitech.2021.108656
Mikkelsen, L.P., Fæster, S., Goutianos, S., Sørensen, B.F. Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites. Data in Brief, 35, https://doi.org/10.1016/j.dib.2021.106868, 2021, 106868.
Description of the data-files:
For each of the two cases, five files are made available. Those two file-set contains:
• Tif-file: The stitched SEM scanned image which is used in the fibre volume fraction analysis
• Hdr-file: Meta-data about the stitched SEM scanned image
• M-file: The Matlab script used for analysing the tif-file
• Mat-file: Matlab mask data for a selection of the bundles used in the fibre volume fraction analysis
Sørensen, B.F., Goutianos, S., Mikkelsen, L.P., Fæster, S. (2021). Fatigue damage growth and fatigue life of unidirectional composites. Composites Science and Technology, (in press), https://doi.org/10.1016/j.compscitech.2021.108656
Mikkelsen, L.P., Fæster, S., Goutianos, S., Sørensen, B.F. Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites. Data in Brief, 35, https://doi.org/10.1016/j.dib.2021.106868, 2021, 106868.
Description of the data-files:
For each of the two cases, five files are made available. Those two file-set contains:
• Tif-file: The stitched SEM scanned image which is used in the fibre volume fraction analysis
• Hdr-file: Meta-data about the stitched SEM scanned image
• M-file: The Matlab script used for analysing the tif-file
• Mat-file: Matlab mask data for a selection of the bundles used in the fibre volume fraction analysis
| Date made available | 2020 |
|---|---|
| Publisher | Zenodo |
| Date of data production | 2020 |