Defects identification of wind turbine blades based on radiographic testing
Source abstract
Abstract
As a crucial component of wind energy systems, wind turbine blades are susceptible to various defects during manufacturing and operation due to the influence of production processes and material properties. These defects can lead to blade damage, potentially affecting the normal operation of the entire turbine. Therefore, advancing research in the Non-Destructive Testing (NDT) of wind turbine blades is vital for ensuring the operational reliability of the wind turbine system, minimising maintenance costs, and enhancing overall safety. In this study, radiographic testing(RT) is employed to address the most common defect issues in the adhesive bonding areas of the blade’s trailing edge core material. The testing system is designed through detailed modelling, followed by the simulated detection and experimental measurement of blade samples. The imaging results indicate that RT can accurately display the location, shape, and size of defect bubbles with dimensions of 10 mm × 10 mm × 10 mm, meeting market requirements. This confirms the feasibility of the method for blade inspection and provides a theoretical foundation and technical support for the future development of radiographic NDT systems for wind turbine blades.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Thermography and Photoacoustic Techniques · Mechanical and Thermal Properties Analysis · Fatigue and fracture mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Lanzhou University
Funding
Lanzhou University
References (32)
Show source-provided references
1. 10.1016/j.ijhydene.2024.04.10210.1016/j.ijhydene.2024.04.102 ↗
2. Council G W E. Global Wind Report 2024 [DB/OL]. 2024. Available from: https://gwec.net/global-wind-report-2024/
3. 10.1016/j.seta.2023.10351110.1016/j.seta.2023.103511 ↗
4. 10.1080/1537649090278222310.1080/15376490902782223 ↗
5. 10.1007/s10853-018-2045-610.1007/s10853-018-2045-6 ↗
6. Idris SA, Jafar FA, Abdullah N. Study on corrosion features analysis for visual inspection & monitoring system: a NDT technique. Proceedings of the Mechanical Engineering Research Day (MERD);2015 Mar 31; Malaysia. University Teknikal Malaysia Melaka, Kampus Teknologi, Malaysia; 2015.
7. 10.1080/17452759.2017.135731910.1080/17452759.2017.1357319 ↗
8. 10.1177/168781402091376110.1177/1687814020913761 ↗
9. 10.1080/10589759.2024.232414910.1080/10589759.2024.2324149 ↗
10. 10.1007/978-3-030-99075-6_7010.1007/978-3-030-99075-6_70 ↗
11. 10.1115/1.406476310.1115/1.4064763 ↗
12. 10.1177/073168441141514010.1177/0731684411415140 ↗
13. 10.1080/1058975920895275910.1080/10589759208952759 ↗
14. 10.1007/s11668-016-0068-310.1007/s11668-016-0068-3 ↗
15. 10.3390/s2014385110.3390/s20143851 ↗
16. 10.1080/1058975070144838110.1080/10589750701448381 ↗
17. 10.7779/JKSNT.2015.35.1.2510.7779/JKSNT.2015.35.1.25 ↗
18. 10.1088/1361-6501/ac41a810.1088/1361-6501/ac41a8 ↗
19. 10.1109/JSEN.2023.325782410.1109/JSEN.2023.3257824 ↗
20. 10.1109/TIE.2023.333545510.1109/TIE.2023.3335455 ↗
21. 10.1088/1755-1315/93/1/01207410.1088/1755-1315/93/1/012074 ↗
22. 10.1134/S106183092111002410.1134/S1061830921110024 ↗
23. 10.1080/10589759.2024.232437310.1080/10589759.2024.2324373 ↗
24. 10.1155/2011/34732010.1155/2011/347320 ↗
25. 10.1784/insi.2009.51.9.47710.1784/insi.2009.51.9.477 ↗
26. 10.3390/ma1111234010.3390/ma11112340 ↗
27. Sattar TP, Marques V, Anvo R, et al. Climbing robot to perform radiography of wind blades. Proceedings of the International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines; 2021 (Takarazuka,Japan: Springer International Publishing).
28. 10.1016/j.engfailanal.2020.10447510.1016/j.engfailanal.2020.104475 ↗
29. 10.1016/j.ijfatigue.2022.10677810.1016/j.ijfatigue.2022.106778 ↗
30. Wang G. Research and application of ultrasonic characterisitics in wind turbine blades based on laminated composite models [D]. XIangtan(China): XiangtanUniversity; 2019.
31. 10.3390/ma1011128510.3390/ma10111285 ↗
32. 10.1364/AO.20.2326_110.1364/AO.20.2326_1 ↗