THERMAL SCIENCE

International Scientific Journal

Thermal Science - Online First

online first only

Linear frequency modulation infrared thermal imaging detection technology for GFRP/PMI foam sandwich structure defects

ABSTRACT
As one of the important structures of composite materials, PMI foam sandwich structure is prone to debonding and delamination defects during manufacturing and service, which seriously affects the mechanical properties of materials. Therefore, it is necessary to detect the defects of foam sandwich structure. A linear frequency modulation (LFM) infrared thermal wave nondestructive testing system was built to study the correlation between the geometric characteristics (diameter and depth) of the defect and the surface temperature signal and its influence on the detection effect. The image sequence is processed by principal component analysis, discrete Fourier transform, thermal wave signal reconstruction and other algorithms. Studies have shown that: the larger the defect diameter, the shallower the depth, easy to detect defects, detection effect is good. The detection system can effectively detect and identify debonding and delamination defects. The thermal wave signal reconstruction method is superior to the principal component analysis method and the discrete Fourier transform method in the signal-to-noise ratio (SNR)index, which improves the quality of the image and is conducive to the effective identification of the image surface defect information.
KEYWORDS
PAPER SUBMITTED: 2022-08-06
PAPER REVISED: 2022-11-15
PAPER ACCEPTED: 2022-11-22
PUBLISHED ONLINE: 2023-01-21
DOI REFERENCE: https://doi.org/10.2298/TSCI220806007S
REFERENCES
  1. Cao, W. Y., et al.,Development and Prospect of High Performance Polymer Composites in China, Engineering Sciences in China, 22 (2020), 5, pp. 112-120
  2. Xu, Z., et al., The Research Progress of Foam Sandwich Structure Composite Material, Aging and application of synthetic materials,45 (2016), 4, pp. 96-99
  3. Zhou, J. L., et al., The Effects of Microcell Structure on Quasi-static Compression Performance of PMI Foam, Materials Review, 31 (2017), 20, pp. 147-151
  4. Hu, P., et al., Non-destructive Test Methods of PMI Foam Cored Composite Sandwich Structures, Materials engineering, (2009), S2, pp. 354-358
  5. Tang, Q. J., et al., Theoretical Study on Infrared Thermal Wave Imaging Detection of Semiconductor Silicon Wafers with Micro-crack Defects, Thermal Science, 24 (2020), 6B, pp. 4011-4017
  6. Liu, Y. L., et al., Numerical Simulation of Infrared Thermal Wave Detection of Defects in Thermal Barrier Coatings by Linear Frequency Modulation Continuous Optical Excitation, Journal of Heilongjiang University of Science and Technology, 28 (2018), 5, pp. 537-542
  7. Tang, Q. J., et al., Infrared Micro Thermal Imaging Detection of Micro-crack Defects in Semiconductor Silicon Wafers, Journal of Heilongjiang University of Science and Technology, 31 (2021), 2, pp. 177-183
  8. Sun, Q. L., et al., Image Segmentation Based on Principal Component Analysis, Journal of Taiyuan University of Technology, 49 (2018), 5, pp. 759-764
  9. Ma, Y. H., et al., Discrete Fourier Transform and its Application, Chinese modern educational equipment, (2015), 13, pp. 56-58
  10. Shepard, S. M., et al., Enhancement and Reconstruction of Thermographic NDT Data, Proceedings of Spie the International Society for Optical Engineering, 4710 (2002), 3, pp. 531-535
  11. Gong, J. L., et al., A Study on the SNR Performance Analysis of Laser-generated Bidirectional Thermal Wave Radar Imaging Inspection for Hybrid C/GFRP Laminate Defects, Infrared Physics & Technology, 111 (2020), 7, pp. 103526