Non-destructive characterisation of out-of-plane fibre waviness in carbon fibre reinforced polymers by X-ray dark-field radiography
Source abstract
Abstract
Fibre waviness is a frequently encountered problem in composite design and manufacturing as it can severely influence mechanical properties of components. In this work, we propose a new method for the detection and quantification of out-of-plane fibre waviness in carbon fibre composites using Talbot-Lau grating interferometry. The sensitivity of X-ray dark-field imaging to the orientation of carbon fibres is exploited to visualise fibre waviness by radiographic imaging and reduce measurement times in comparison to full computed tomography scans. We show that fibre waviness can be qualitatively detected by single radiographic images providing a valid option, for example, for in-line monitoring of similar specimens. Furthermore, quantitative evaluation of fibre waviness angles can be performed by repeated radiographic imaging over an angular range of roughly 10°. Therefore, the number of required projection images can be reduced significantly. With this method, we evaluated wave angles at an error of less than ±1.5° compared to results achieved by full computed tomography scans.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced X-ray Imaging Techniques · Optical measurement and interference techniques · Advanced Measurement and Metrology Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institut für Werkstoffwissenschaft und Werkstofftechnologie, TU Wien, Wien, Austria
School of Engineering, University of Applied Sciences Upper Austria, Wels, Austria
Microworks GmbH, Karlsruhe, Germany
Lehrstuhl für Röntgenmikroskopie, Universität Würzburg, Würzburg, Germany
Funding
federal government of Upper Austria · FatAM · Aufbau
References (22)
Show source-provided references
1. 10.3390/jcs403013010.3390/jcs4030130 ↗
2. 10.1016/j.compositesa.2020.10601310.1016/j.compositesa.2020.106013 ↗
3. 10.1016/j.compositesa.2008.04.01610.1016/j.compositesa.2008.04.016 ↗
4. 10.1007/s00170-017-0096-510.1007/s00170-017-0096-5 ↗
5. 10.1016/j.compositesa.2008.05.00310.1016/j.compositesa.2008.05.003 ↗
6. 10.1007/s12289-020-01540-510.1007/s12289-020-01540-5 ↗
7. 10.1016/j.ijfatigue.2016.04.02910.1016/j.ijfatigue.2016.04.029 ↗
8. Röper F · 2020 · 1
9. Plank B · 2019 · 1
10. 10.1038/nphys26510.1038/nphys265 ↗
11. 10.1038/nmat209610.1038/nmat2096 ↗
12. 10.1784/insi.2019.61.3.14910.1784/insi.2019.61.3.149 ↗
13. 10.1007/s10921-018-0529-610.1007/s10921-018-0529-6 ↗
14. 10.1007/s10853-021-05907-010.1007/s10853-021-05907-0 ↗
15. 10.1088/1361-6560/abb7c610.1088/1361-6560/abb7c6 ↗
16. 10.1364/OE.21.01992210.1364/OE.21.019922 ↗
17. 10.1016/j.ndteint.2016.11.01310.1016/j.ndteint.2016.11.013 ↗
18. 10.2514/6.2021-006410.2514/6.2021-0064 ↗
19. Thor M · 2020 · 1
20. 10.1364/OPEX.13.00629610.1364/OPEX.13.006296 ↗
21. 10.3390/jimaging404005810.3390/jimaging4040058 ↗
22. Caiazzo AA · Compos Struct Theory Pract · 2000 · 1383 · 158