Dr Yijun Yan y.yan2@rgu.ac.uk
Research Fellow
Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project.
Yan, Yijun; Ren, Jinchang; Zhao, Huan; Windmill, James F.C.; Ijomah, Winifred; De Wit, Jesper; Von Freeden, Justus
Authors
Professor Jinchang Ren j.ren@rgu.ac.uk
Professor of Computing Science
Huan Zhao
James F.C. Windmill
Winifred Ijomah
Jesper De Wit
Justus Von Freeden
Abstract
Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully applied in various applications, including remote sensing for security and defense, precision agriculture for vegetation and crop monitoring, food/drink, and pharmaceuticals quality control. However, for condition monitoring and damage detection in carbon fibre reinforced polymer (CFRP), the use of HSI is a relatively untouched area, as existing non-destructive testing (NDT) techniques focus mainly on delivering information about physical integrity of structures but not on material composition. To this end, HSI can provide a unique way to tackle this challenge. In this paper, with the use of a near-infrared HSI camera, applications of HSI for the non-destructive inspection of CFRP products are introduced, taking the EU H2020 FibreEUse project as the background. Technical challenges and solutions on three case studies are presented in detail, including adhesive residues detection, surface damage detection and Cobot based automated inspection. Experimental results have fully demonstrated the great potential of HSI and related vision techniques for NDT of CFRP, especially the potential to satisfy the industrial manufacturing environment.
Citation
YAN, Y., REN, J., ZHAO, H., WINDMILL, J.F.C., IJOMAH, W., DE WIT, J. and VON FREEDEN, J. 2022. Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. IEEE transactions on instrumentation and measurement [online], 71, article 6002213. Available from: https://doi.org/10.1109/TIM.2022.3155745
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 8, 2022 |
Online Publication Date | Mar 3, 2022 |
Publication Date | Dec 31, 2022 |
Deposit Date | Mar 11, 2022 |
Publicly Available Date | Mar 11, 2022 |
Journal | IEEE Transactions on Instrumentation and Measurement |
Print ISSN | 0018-9456 |
Electronic ISSN | 1557-9662 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Peer Reviewed | Peer Reviewed |
Volume | 71 |
Article Number | 6002213 |
DOI | https://doi.org/10.1109/TIM.2022.3155745 |
Keywords | Hyperspectral imaging (HSI); Non-destructive inspection; Carbon fibre reinforced polymer (CFRP): H2020; Cameras; Imaging; Inspection; Polymers; Service robots; Testing |
Public URL | https://rgu-repository.worktribe.com/output/1616296 |
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