The aim of this paper is to develop a novel specimen configuration optimised for developing and validating structure-property relationships for textile carbon fibre reinforced polymers (CFRPs). The specimen is designed to be imaged non-destructively using X-ray Microtomography (μCT), but is also optimised for in- and ex-situ mechanical testing. The investigation bridges a gap in current research where modified/enhanced (i.e. contaminated) CFRPs are often used to obtain suitable reconstructions to analyse. This paper looks at identifying the textile architecture of composites at the meso-level without the use of contrast enhancement agents (i.e. uncontaminated) and then proposes the optimum specimen size and scanning parameters to achieve successful reconstructions of the materials system. It was found that the Histogram of Oriented Gradients (HOG) gave the best segmentation outcome when the specimen was sized to fit at least two voxels within a fibre width. In addition to this prepping the specimen to include a cast epoxy jacket prevented CT artefacts during reconstruction. The application of these results will assist researchers in better understanding the evolution of microcracks and damage in textile composites while enabling physics based multiscale modelling approaches to be validated with realistic textile architectures.
|Number of pages||14|
|Journal||Composites Part A: Applied Science and Manufacturing|
|Publication status||Published - 1 Aug 2019|
- Image processing
- Micro X ray CT