International Scientific Journal

Thermal Science - Online First

External Links

online first only

Defect detection of GFRP laminates by barker codedmodulation excitation infrared thermal imaging

During the preparation and service of GFRP laminates, due to the influence of manufacturing process, it is easy to produce debonding defect. This paper expounds the basic principle and test process of infrared nondestructive testing, which using the barker code modulation of the thermal wave to identify the GFRP laminate debonding defect. Through the establishment of infrared thermal imaging testing system, this paper studies its detection effect on defects with different diameter, depth and diameter-to-depth ratio, processes the image sequence by using principal component analysis (PCA) and discrete Fourier transform (DFT) algorithms, and finally calculates and compares the processed signal-to-noise ratio (SNR). The results show that Barker code modulated thermal wave infrared detection can detect the debonding defects of GFRP laminates. Among them, the detection effect of 13-bit Barker coded modulation excitation is better, and the image processed by DFT has better recognition effect.
PAPER REVISED: 2022-11-11
PAPER ACCEPTED: 2022-11-22
  1. Lapina, O. B., et al.,Multinuclear NMR Study of Silica Fiberglass Modified with Zirconia, Solid State Nuclear Magnetic Reso-nance, 39 (2011), 3-4, pp. 47-57
  2. Gao, Y. L.,et al., Research Progress of High Performance Glass Fiber, Shandong Chemical Industry,49 (2020),5, pp. 78-79
  3. Wang, Y.,et al., Infrared Thermal Wave Detection of Delamination Defects in Glass Fiber Composites, Nondestructive testing, 32 (2010), 11, pp. 55-58
  4. Zhang, W.,et al., Infrared Thermal Wave Nondestructive Technology on the Defect in the Shell of Solid Rocket Motor, Proceedings of SPIE-The International Society for Optical Engineering, 7 (2010), 6, pp. 30-34
  5. Yan, Y. Q., et al., Step Thermal Excitation Infrared Thermal Wave Nondestructive Testing for Wind Turbine Blades,2018 Far East NDT New Technology Forum, (2018),pp. 442-449
  6. Liu, Y. T., et al.,The Development History, Present Situation and Trend of Infrared Thermal Imaging Nondestructive Testing Technology, Nondestructive testing, 39 (2017), 8,pp. 63-70
  7. Guo, W., et al.,Research Status and Development of Active Infrared Thermography Nondestructive Testing,Nondestructive testing, 38 (2016),4, pp. 58-62
  8. Shi, Q. Z., et al., Barker Code Excitation Infrared Thermal Imaging Detection of CFRP Laminates, in: 2018 Far East NDT New Technology Forum Proceedings, Far East Forum on New Technology of Nondestructive Testing, 2018, pp. 470-475
  9. Ghali, V. S., et al., Barker Coded Thermal Wave Imaging for Defect Detection in Carbon Fibre-reinforced Plastics, Insight-Non-Destructive Testing and Condition Monitoring, 53 (2011), 53, pp. 621-624
  10. Dua, G., et al., Applications of Barker Coded Infrared Imaging Method for Characterization of Glass Fibre Reinforced Plastic Materials, Electronics Letters, 49 (2013), 17, pp. 1071-1073
  11. Mulaveesala, R., et al., Complementary Coded Thermal Wave Imaging Scheme for Thermal Non-destructive Testing and Evaluation, Quantitative Infrared Thermography Journal, 14 (2017), 1, pp. 44-53
  12. Storer, J. E., et al., Optimum Finite Code Groups, Proc Ire, 46 (1958), pp. 1649
  13. Sun, Q. L., et al., Image Segmentation Method Based on Principal Component Analysis, Journal of Taiyuan University of Technology, 49 (2018), 05, pp. 759-764
  14. Ma, Y. H., et al., Discrete Fourier Transform and its Application, Chinese modern educational equipment, 13(2015), pp. 56-58