Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites
The fatigue damage evolution depends on the local fibre volume fraction as observed in the co-submitted publication [1]. Conventionally, fibre volume fractions are determined as an averaged overall fibre volume fraction determined from small cuts of the laminate. Alternatively, automatically stitchi...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921001529 |
| _version_ | 1818716050464702464 |
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| author | Lars P. Mikkelsen Søren Fæster Stergios Goutianos Bent F. Sørensen |
| author_facet | Lars P. Mikkelsen Søren Fæster Stergios Goutianos Bent F. Sørensen |
| author_sort | Lars P. Mikkelsen |
| collection | DOAJ |
| description | The fatigue damage evolution depends on the local fibre volume fraction as observed in the co-submitted publication [1]. Conventionally, fibre volume fractions are determined as an averaged overall fibre 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-fibre phase. Therefore, local distribution of the fibre volume fraction can be characterised 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 and 1800 high-resolution scan pictures which have been stitched into two high-resolution tif-files. The resolution corresponds to between 700 and 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 analysed, 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]. |
| first_indexed | 2024-12-17T19:13:06Z |
| format | Article |
| id | doaj.art-75c94ff4ba344a87bf0057d88c158918 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-17T19:13:06Z |
| publishDate | 2021-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-75c94ff4ba344a87bf0057d88c1589182022-12-21T21:35:48ZengElsevierData in Brief2352-34092021-04-0135106868Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced compositesLars P. Mikkelsen0Søren Fæster1Stergios Goutianos2Bent F. Sørensen3Corresponding author.; Wind Energy Materials and Components, DTU Wind Energy, Technical University of Denmark, DK-4000 Roskilde, DenmarkWind Energy Materials and Components, DTU Wind Energy, Technical University of Denmark, DK-4000 Roskilde, DenmarkWind Energy Materials and Components, DTU Wind Energy, Technical University of Denmark, DK-4000 Roskilde, DenmarkWind Energy Materials and Components, DTU Wind Energy, Technical University of Denmark, DK-4000 Roskilde, DenmarkThe fatigue damage evolution depends on the local fibre volume fraction as observed in the co-submitted publication [1]. Conventionally, fibre volume fractions are determined as an averaged overall fibre 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-fibre phase. Therefore, local distribution of the fibre volume fraction can be characterised 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 and 1800 high-resolution scan pictures which have been stitched into two high-resolution tif-files. The resolution corresponds to between 700 and 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 analysed, 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].http://www.sciencedirect.com/science/article/pii/S2352340921001529Bundle segmentationSEMFatigue damage evolutionWind turbine blades |
| spellingShingle | Lars P. Mikkelsen Søren Fæster Stergios Goutianos Bent F. Sørensen Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites Data in Brief Bundle segmentation SEM Fatigue damage evolution Wind turbine blades |
| title | Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites |
| title_full | Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites |
| title_fullStr | Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites |
| title_full_unstemmed | Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites |
| title_short | Scanning electron microscopy datasets for local fibre volume fraction determination in non-crimp glass-fibre reinforced composites |
| title_sort | scanning electron microscopy datasets for local fibre volume fraction determination in non crimp glass fibre reinforced composites |
| topic | Bundle segmentation SEM Fatigue damage evolution Wind turbine blades |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921001529 |
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