Dataset Open Access

Local fibre volume fraction in non-crimp glass-fibre reinforced composites based on scanning electron microscopy.

Lars Pilgaard Mikkelsen; Søren Fæster; Stergios Goutianos; Bent F. Sørensen

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 
 

Files (2.4 GB)
Name Size
Case1-Panorama - correlation matching-tif.hdr
md5:5366475c19bfdf1916e3ca005fb68c6d
1.1 kB Download
Case1-Panorama - correlation matching.tif
md5:76b246dcf07d31694159eec075e06700
809.6 MB Download
Case1-Panorama.zip
md5:95f05a9fab5885bd1017129a496717e5
850.3 MB Download
Case1Vf.m
md5:94a46e531777f1122e9392115aba254f
4.5 kB Download
Case1Vf.mat
md5:c03af44cfb66fc96e5de3012d393dd55
72.8 MB Download
Case2-PCB2.zip
md5:0e3f2bb47e05254da9ed0d2c6da04302
179.5 MB Download
Case2-PCB2_BSQ2_Correlation matching-tif.hdr
md5:e18a9b7a7aceae731a374d8edd2d0955
1.1 kB Download
Case2-PCB2_BSQ2_Correlation matching.tif
md5:f5231aa2474f54b9b5e26844cf93946b
350.8 MB Download
Case2Vf.m
md5:30736d8994f7ca727957f0530e46821a
3.6 kB Download
Case2Vf.mat
md5:6eb3d35bb23395bac4b5c8c9dc52dd68
101.5 MB Download
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