Nondestructive Testing and Evaluation of Glass Fiber Reinforced Polymer Composites Using Pulse Compression Favorable Analysis Approach
Source abstract
Abstract
Abstract This paper presents an innovative approach to improve the accuracy and resolution of defect detection in glass fiber-reinforced plastic (GFRP) composites using pulse compression analysis for thermal wave imaging. GFRP materials, widely utilized in various industries owing to lightweight and durable properties, often present challenges in identifying subsurface defects. Traditional thermal wave imaging techniques face limitations in achieving high-resolution results. The study outlines the theoretical foundation of pulse compression and its application in thermal wave inspection. A comprehensive experimental setup was designed to validate the effectiveness of the proposed methodology. Results indicate a significant improvement in the localization and characterization of defects within GFRP composites. The findings of this research hold implications for nondestructive testing and quality control in industries relying on GFRP materials. The integration of pulse compression analysis into thermal wave imaging establishes a promising avenue for precise defect detection, contributing to the reliability and integrity of GFRP composite structures. Also, two key metrics, absolute thermal contrast and signal-to-background contrast, are used for quantitative analysis.
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Research context
OpenAlex topics: Thermography and Photoacoustic Techniques · Ultrasonics and Acoustic Wave Propagation · Advanced Sensor Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (24)
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1. Vavilov, V.P., Thermal nondestructive testing: Development of conventional directions and new trends (a review), Russ. J. Nondestr. Test., 2023, vol. 59, no. 6, pp. 702–723.10.1134/S1061830923700432 ↗
2. Vavilov, V., Maldague, X., Dufort, B., Robitaille, F., and Picard, J., Thermal nondestructive testing of carbon epoxy composites: Detailed analysis and data processing, NDT & E Int., 1993, vol. 26, pp. 85–95.10.1016/0963-8695(93)90258-V ↗
3. Vavilov, V.P., Thermal nondestructive testing of materials and products: A review, Russ. J. Nondestr. Test., 2017, vol. 53, pp. 707–730.10.1134/S1061830917100072 ↗
4. Maldague, X. and Marinetti, S., Pulse phase infrared thermography, J. Appl. Phys., 1996, vol. 79, pp. 2694–2698.10.1063/1.362662 ↗
5. Busse, G., Wu, D., and Karpen, W., Thermal wave imaging with phase sensitive modulated thermography, J. Appl. Phys., 1992, vol. 71, pp. 3962–3965.10.1063/1.351366 ↗
6. Ahmad, J., Akula, A., Mulaveesala, R., and Sardana, H.K., Defect detection capabilities of independent component analysis for Barker coded thermal wave imaging, Infrared Phys. Technol., 2020, vol. 104, p. 103118.10.1016/j.infrared.2019.103118 ↗
7. Ahmad, J., Akula, A., Mulaveesala, R., and Sardana, H.K., Barker coded thermal wave imaging for nondestructive testing and evaluation of steel material, IEEE Sens. J., 2019, vol. 19, pp. 735–742.10.1109/JSEN.2018.2877726 ↗
8. Arora, V., Mulaveesala, R., Rani, A., Kumar, S., Kher, V., Mishra, P., Kaur, J., Dua, G., and Jha, R.K., Infrared image correlation for non-destructive testing and evaluation of materials, J. Nondestr. Eval., 2021, vol. 40, pp. 1–7.10.1007/s10921-021-00805-6 ↗
9. Dua, G. and Mulaveesala, R., Applications of Barker coded infrared imaging method for characterization of glass fiber reinforced plastic materials, Electron. Lett., 2013, vol. 49, pp. 1071–1073.10.1049/el.2013.1661 ↗
10. Arora, V., Siddiqui, J.A., Mulaveesala, R., and Muniyappa, A., Pulse compression approach to nonstationary infrared thermal wave imaging for nondestructive testing of carbon fiber reinforced polymers, IEEE Sens. J., 2015, vol. 15, pp. 663–664.10.1109/JSEN.2014.2361391 ↗
11. Dua, G., Arora, V., and Mulaveesala, R., Defect detection capabilities of pulse compression based on infrared nondestructive testing and evaluation, IEEE Sens. J., 2021, vol. 21, pp. 7940–7947.10.1109/JSEN.2020.3046320 ↗
12. Ghali, V.S., Panda, S.S.B., and Mulaveesala, R., Barker coded thermal wave imaging for defect detection in carbon fiber-reinforced plastics, Insight: Nondestr. Test. Cond. Monit., 2011, vol. 53, pp. 621–624.10.1784/insi.2011.53.11.621 ↗
13. Mulaveesala, R., Arora, V., and Rani, A., Coded thermal wave imaging technique for infrared nondestructive testing and evaluation, Nondestr. Test. Eval., 2019, vol. 34, pp. 243–253.10.1080/10589759.2019.1597356 ↗
14. Ghali, V.S. and Mulaveesala, R., Comparative data processing approaches for thermal wave imaging techniques for nondestructive testing, Sens. Imag., 2011, vol. 12, pp. 15–33.10.1007/s11220-011-0059-0 ↗
15. Dua, G., Mulaveesala, R., Mishra, P., and Kaur, J., InfraRed image correlation for nondestructive testing and evaluation of delaminations in glass fiber reinforced polymer materials, Infrared Phys. Technol., 2021, vol. 116, p. 103803.10.1016/j.infrared.2021.103803 ↗
16. Kaur, K. and Mulaveesala, R., An efficient data processing approach for frequency modulated thermal wave imaging for inspection of steel material, Infrared Phys. Technol., 2019, vol. 103, p. 103083.10.1016/j.infrared.2019.103083 ↗
17. Mulaveesala, R., Arora, V., and Dua, G., Highly depth resolved coded thermal wave imaging technique for infrared nondestructive testing and evaluation, NDE 2020—Virtual Conf Exhib. (2022), pp. 233–241.10.1007/978-981-16-9093-8_19 ↗
18. Mulaveesala, R., Arora, V., and Dua, G., Pulse compression favorable thermal wave imaging techniques for non-destructive testing and evaluation of materials, IEEE Sens. J., vol. 21, pp. 12789–12797.10.1109/JSEN.2020.3034823 ↗
19. Mulaveesala, R., Arora, V., Dua, G., Vavilov, V.P., Guo, X., Bison, P., and Avdelidis, N.P., Guest editorial: Nondestructive testing, Electron. Lett., 2020, vol. 56, pp. 972–973.10.1049/el.2020.2404 ↗
20. Rani, A., Das, P., Sharma, A., Arora, V., Dua, G., and Mulaveesala, R., Estimation of defect depth in carbon fiber reinforced polymer using frequency modulated thermal wave imaging: An analytical study, Russ. J. Nondestr. Test., 2023, vol. 59, no. 1, pp. 117–128.10.1134/S106183092260068X ↗
21. Kher, V. and Mulaveesala, R., Statistical analysis of defect detection in glass fiber reinforced polymers using frequency modulated thermal wave imaging, Russ. J. Nondestr. Test., 2022, vol. 58, no. 5, pp. 405–410.10.1134/S1061830922050084 ↗
22. Sharma, A., Arora, V., and Mulaveesala, R., Application of digitized frequency modulated thermal wave imaging for testing and evaluation of rebar corrosion in concrete structures: A numerical study, Russ. J. Nondestr. Test. (in press).
23. Gruber, J., Gresslehner, K.H., Sekelja, J., Mayr, G., and Hendorfer, G., Signal to noise ratio threshold in active thermography, 6th Int. Symp. NDT Aerospace (Madrid, 2014).
24. Giorleo, G. and Meola, C., Comparison between pulsed and modulated thermography in glass epoxy laminates, NDT & E Int., 2002, pp. 287–292.10.1016/S0963-8695(01)00062-7 ↗