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

• Published in: Data in brief Vol. 18; pp. 1388 - 1393
• Main Authors: Emerson, Monica J., Dahl, Vedrana A., Conradsen, Knut, Mikkelsen, Lars P., Dahl, Anders B.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01-06-2018; Elsevier
• Subjects: Automated fibre tracking; Geometrical characterisation; Microscopy; Non-destructive testing; Physics and Astronomy; Polymer-matrix composites (PMCs); Volumetric fibre segmentation; X-ray imaging; Geometrical characterisation; Microscopy; Automated fibre tracking; Volumetric fibre segmentation; Non-destructive testing; Polymer-matrix composites (PMCs); X-ray imaging
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2018.04.039

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 Emerson et al. (2018) [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.