Method and Equipment for Infrared and Ultrasonic Thermographic Testing of Large-Sized Complex-Shaped Composite Products
Source abstract
Abstract
Abstract The robotic equipment for and the technique of combined thermal nondestructive testing (NDT) of large-sized products by zones with subsequent data synthesis are described. The effectiveness of the combination of two methods, infrared and ultrasonic thermographic testing, is shown by the example of the developed complex-shaped reference sample with 18 simulators of production and operational defects. The developed algorithms for the synthesis of test results, including spatial “matching” of a set of thermograms and automated flaw detection and defect characterization with the use of neural networks have illustrated the effectiveness of the proposed approach for practical application.
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Research context
OpenAlex topics: Thermography and Photoacoustic Techniques · Ultrasonics and Acoustic Wave Propagation · Calibration and Measurement Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (28)
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1. Madruga, F.J., Sfarra, S., ReaL, E., Gargiulo, G., Conde, O.M., and López-Higuera, J.M., complementary use of active infrared thermography and optical coherent tomography in nondestructive testing inspection of ancient marquetries, J. Nondestr. Eval., 2020, vol. 39. https://doi.org/10.1007/s10921-020-00683-410.1007/s10921-020-00683-4 ↗
2. Chulkov, A.O., Vavilov, V.P., Nesteruk, D.A., Bedarev, A.M., Yarkimbaev, Sh., and Shagdyrov, B.I., Synthesizing data of active infrared thermography under optical and ultrasonic stimulation of products made of complex-shaped CFRP, Russ. J. Nondestr. Test., 2020, vol. 56, no. 7, p. 595–601.10.1134/S1061830920070037 ↗
3. Shark, L.K., Matuszewski, B.J., Smith, J.P., and Varley, M.R., Automatic feature-based fusion of ultrasonic, radiographic and shearographic images for aerospace NDT, Insight, 2001, vol. 43, no. 9, pp. 607–615.
4. Gros, X.E., Bousigue, J., and Takahashi, K., NDT data fusion at pixel level, NDT & E Int., 1999, vol. 32, p. 283292.10.1016/S0963-8695(98)00056-5 ↗
5. Staroverov, O.A., Babushkin, A.V., and Gorbunov, S.M., Assessment of the degree of damage to carbon fiber composite materials under shock impact, Vestn. PNIPU. Mekh., 2019, no. 1, pp. 1–12.
6. Khodayar, F., Lopez, F., Ibarra-Castanedo, C., and Maldague, X., Optimization of the Inspection of Large Composite Materials Using Robotized Line Scan Thermography, J. Nondestr. Eval., 2017. vol. 36, no. 2.10.1007/s10921-017-0412-x ↗
7. Official website of Safran. https://www.safran-nacelles.com/media/safran-nacelles-launches-new-automated-nondestructivetesting- solution-using-infrared-thermography-and-augmented-reality-world-first-20170404.
8. Official website of Association for Advancing Automation. https://www.robotics.org/content-detail.cfm/Industrial-Robotics-Industry-Insights/Demystifying-Robot-Offline-Programming/content_id/7467.
9. Gholizadeh, S., A review of nondestructive testing methods of composite materials, Procedia Struct. Integr., 2016, vol. 1, pp. 50–57.10.1016/j.prostr.2016.02.008 ↗
10. Verspeek, S., Gladines, J., Ribbens, B., Maldague, X., and Steenackers, G., Dynamic line scan thermography optimisation using response surfaces implemented on PVC flat bottom hole plates, Appl. Sci., 2021, vol. 11, no. 4, pp. 1–15.10.3390/app11041538 ↗
11. Chulkov, A.O., Nesteruk, D.A., Vavilov, V.P., Shilnikov, G.V., Perepelitsa, A.A., and Schepelin, V.Ya., Automated thermal nondestructive testing of large-sized products, V Mire NK, 2020, vol. 23, no. 1, pp. 56–59.
12. Klyuev, V.V., Budadin, O.N., Abramova, E.V., Pichugin, A.N., and Kozelskaya, S.O., Teplovoi kontrol' kompozitnykh konstruktsii v usloviyakh silovogo i udarnogo nagruzheniya (Thermal Testing of Composite Structures under Conditions of Force and Shock Loading), Moscow: Spektr, 2017.
13. Kaledin, V.O., Vyachkina, E.A., Galdin, D.A., Budadin, O.N., and Kozelskaya, S.O., Electric force thermography of structures made of composite materials, Kontrol’ Diagn., 2019, No. 8, pp. 22–27.10.14489/td.2019.08.pp.022-027 ↗
14. Budadin, O.N., Vyachkin, E.S., Vyachkina, E.A., Kaledin, V.O., and Kozelskaya, S.O., Experimental studies of ultrasonic thermal tomography (ultrasound-thermotomography) of composite materials, Kontrol’ Diagn., 2019, no. 6, pp. 56–60.10.14489/td.2019.06.pp.058-062 ↗
15. Vavilov, V., Chulkov, A., Dubinskiy, S., and Burleigh, D., Nondestructive testing of composite T-Joints by TNDT and other methods, Polymer Test., 2020, vol. 94, no. 2. https://doi.org/10.1016/j.polymertesting.2020.10701210.1016/j.polymertesting.2020.107012 ↗
16. Dubinskii, S.V. and Safonov, A.A., Composite-friendly approach to certification of advanced materials and fabrication methods used in aviation industry, J. Mach. Manuf. Reliab., 2017, vol. 46, no. 5, pp. 501–506. https://doi.org/10.3103/s105261881705004110.3103/s1052618817050041 ↗
17. Dubinskii, S., Fedulov, B., Feygenbaum, Y., Gvozdev, S., and Metelkin, E., Experimental evaluation of surface damage relaxation effect in carbon-fiber reinforced epoxy panels impacted into stringer, Composites. Part B, 2019, vol. 176, article ID 107258.10.1016/j.compositesb.2019.107258 ↗
18. Towsyfyan, H., Biguri, A., Boardman, R., and Blumensath, T., Successes and challenges in nondestructive testing of aircraft composite structures, Chin. J. Aeronaut., 2020, vol. 33, pp. 77–791.10.1016/j.cja.2019.09.017 ↗
19. Dubinskii, S.V., Sevastyanov, F.S., Golubev, A.Y., Denisov, S.L., Kostenko, V.M., and Zharenov, I.A., A computational and experimental study of the effect of vibroacoustic loads on the structural performance of composite skin-stringer joint, Acoust. Phys., 2019, vol. 65, pp. 359–368.10.1134/S1063771019040043 ↗
20. Towsyfyan, H., Biguri, A., and Boardman, R., Successes and challenges in nondestructive testing of aircraft composite structures, Chin. J. Aeronaut., 2020, vol. 33, pp. 771–791.10.1016/j.cja.2019.09.017 ↗
21. Karabutov, A.A. and Podymova, N.B., Broadband laser-ultrasonic spectroscopy for quantitative characterization of porosity effect on acoustic attenuation and phase velocity in CFRP laminates, J. Nondestr. Eval., 2014, vol. 33, pp. 141–151.
22. Pelivanov, I., Buma, T., Xia, J., Wei, C.-W., and O’Donnell, M., A new fiber-optic non-contact compact laserultrasound scanner for fast nondestructive testing and evaluation of aircraft composites, J. Appl. Phys., 2014, vol. 115. https://doi.org/10.1063/1.486846310.1063/1.4868463 ↗
23. Chulkov, A., Nesteruk, D., Vavilov, V., Shagdirov, B., Omar, M., Siddiquic, A., and Prasad, Y., Automated procedure for detecting and characterizing defects in GFRP composite by using thermal nondestructive testing, Infrared Phys. Technol., 2021, p. 103675.10.1016/j.infrared.2021.103675 ↗
24. Fang, Q. and Maldague, X., A method of defect depth estimation for simulated infrared thermography data with deep learning, Appl. Sci., 2020, vol. 10.10.20944/preprints202008.0565.v1 ↗
25. Müller, D., Ehlen, A., and Valeske, B., Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared, J. Nondestruct Eval., 2021, vol. 40. https://doi.org/10.1007/s10921-020-00740-y10.1007/s10921-020-00740-y ↗
26. Garrido, I., Erazo-Aux, J., Lagüela, S., Maldague, X., and Arias, P., Introduction of deep learning in thermographic monitoring of cultural heritage and improvement by automatic thermogram pre-processing algorithms, Sensors, 2021, vol. 21, pp. 1–44.10.3390/s21030750 ↗
27. Numan, S., Omar, M.A., and Abdulrahman, Y., A neural network approach for quantifying defects depth, for nondestructive testing thermograms, Infrared Phys. Technol., 2018, vol. 94, pp. 55–64.10.1016/j.infrared.2018.08.022 ↗
28. Shepard, S.M., Lhota, J.R., Rubadeux, B.A., Wang, D., and Ahmed, T., Reconstruction and enhancement of active thermographic image sequences, Opt. Eng., 2003, vol. 42, pp. 1337–1342.10.1117/1.1566969 ↗