A multimodal data-set of a unidirectional glass fibre reinforced polymer composite

Monica Jane Emerson; Vedrana Andersen Dahl; Knut Conradsen; Lars Pilgaard Mikkelsen; Anders Bjorholm Dahl

doi:10.1016/j.dib.2018.04.039

A multimodal data-set of a unidirectional glass fibre reinforced polymer composite

Monica Jane Emerson^*, Vedrana Andersen Dahl, Knut Conradsen, Lars Pilgaard Mikkelsen, Anders Bjorholm Dahl

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

A unidirectional (UD) glass fibre reinforced polymer (GFRP) composite was scanned at varying resolutions in the micro-scale with several imaging modalities. All six scans capture the same region of the sample, containing well-aligned fibres inside a UD load-carrying bundle. Two scans of the cross-sectional surface of the bundle were acquired at a high resolution, by means of scanning electron microscopy (SEM) and optical microscopy (OM), and four volumetric scans were acquired through X-ray computed tomography (CT) at different resolutions. Individual fibres can be resolved from these scans to investigate the micro-structure of the UD bundle. The data is hosted at https://doi.org/10.5281/zenodo.1195879 and it was used in [1] to demonstrate that precise and representative characterisations of fibre geometry are possible with relatively low X-ray CT resolutions if the analysis method is robust to image quality.

Original language	English
Journal	Data in Brief
Volume	18
Pages (from-to)	1388-1393
ISSN	2352-3409
DOIs	https://doi.org/10.1016/j.dib.2018.04.039
Publication status	Published - 2018

Keywords

Geometrical characterisation
Polymer-matrix composites (PMCs)
Volumetric fibre segmentation
Automated fibre tracking
X-ray imaging
Microscopy
Non-destructive testing

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10.1016/j.dib.2018.04.039

HKKR 1 s2Accepted author manuscript, 1.63 MB
1 s2Final published version, 5.2 MBLicence: CC BY

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1 Journal article

Statistical validation of individual fibre segmentation from tomograms and microscopy
Emerson, M. J., Dahl, V. A., Conradsen, K., Mikkelsen, L. P. & Dahl, A. B., 2018, In: Composites Science and Technology. 160, p. 208-215
Research output: Contribution to journal › Journal article › Research › peer-review

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A multimodal data-set of a unidirectional glass fibre reinforced polymer composite
Dahl, A. B. (Contributor), Emerson, M. J. (Contributor), Conradsen, K. (Contributor), Dahl, V. A. (Contributor) & Mikkelsen, L. P. (Contributor), Zenodo, 2018
DOI: 10.5281/zenodo.1195879, https://zenodo.org/record/1195879
Dataset

Cite this

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title = "A multimodal data-set of a unidirectional glass fibre reinforced polymer composite",

abstract = "A unidirectional (UD) glass fibre reinforced polymer (GFRP) composite was scanned at varying resolutions in the micro-scale with several imaging modalities. All six scans capture the same region of the sample, containing well-aligned fibres inside a UD load-carrying bundle. Two scans of the cross-sectional surface of the bundle were acquired at a high resolution, by means of scanning electron microscopy (SEM) and optical microscopy (OM), and four volumetric scans were acquired through X-ray computed tomography (CT) at different resolutions. Individual fibres can be resolved from these scans to investigate the micro-structure of the UD bundle. The data is hosted at https://doi.org/10.5281/zenodo.1195879 and it was used in [1] to demonstrate that precise and representative characterisations of fibre geometry are possible with relatively low X-ray CT resolutions if the analysis method is robust to image quality.",

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AU - Dahl, Anders Bjorholm

PY - 2018

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AB - A unidirectional (UD) glass fibre reinforced polymer (GFRP) composite was scanned at varying resolutions in the micro-scale with several imaging modalities. All six scans capture the same region of the sample, containing well-aligned fibres inside a UD load-carrying bundle. Two scans of the cross-sectional surface of the bundle were acquired at a high resolution, by means of scanning electron microscopy (SEM) and optical microscopy (OM), and four volumetric scans were acquired through X-ray computed tomography (CT) at different resolutions. Individual fibres can be resolved from these scans to investigate the micro-structure of the UD bundle. The data is hosted at https://doi.org/10.5281/zenodo.1195879 and it was used in [1] to demonstrate that precise and representative characterisations of fibre geometry are possible with relatively low X-ray CT resolutions if the analysis method is robust to image quality.

KW - Geometrical characterisation

KW - Polymer-matrix composites (PMCs)

KW - Volumetric fibre segmentation

KW - Automated fibre tracking

KW - X-ray imaging

KW - Microscopy

KW - Non-destructive testing

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DO - 10.1016/j.dib.2018.04.039

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A multimodal data-set of a unidirectional glass fibre reinforced polymer composite

Abstract

Keywords

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Research output

Statistical validation of individual fibre segmentation from tomograms and microscopy

Datasets

A multimodal data-set of a unidirectional glass fibre reinforced polymer composite

Cite this