Data Processing Scheme for Laser Spot Thermography Applied for Nondestructive Testing of Composite Laminates
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Abstract
Abstract This paper proposes a data processing scheme for laser spot thermography (LST) applied for nondestructive testing (NDT) of composite laminates. The LST involves recording multiple thermographic sequences, resulting in large amounts of data that have to be processed cumulatively to evaluate the diagnostic information. This paper demonstrates a new data processing scheme based on parameterization and machine learning. The approach allows to overcome some of the major difficulties in LST signal processing and deliver valuable diagnostic information. The effectiveness of the proposed approach is demonstrated on an experimental dataset acquired for a laminated composite sample with multiple simulated delaminations. The paper discusses the theoretical aspects of the proposed signal processing and inference algorithms as well as the experimental arrangements necessary to collect the input data.
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Research context
OpenAlex topics: Thermography and Photoacoustic Techniques · Calibration and Measurement Techniques · Fire effects on concrete materials
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References (31)
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1. Gaussorgues, G., Chomet, S.: Infrared Thermography. Springer, New York (1994). https://doi.org/10.1007/978-94-011-0711-210.1007/978-94-011-0711-2 ↗
2. Maldague, X.: Nondestructive Evaluation of Materials by Infrared Thermography. Springer, New York (2012)
3. Vavilov, V., Burleigh, D.: Infrared Thermography and Thermal Nondestructive Testing. Springer, New York (2020)10.1007/978-3-030-48002-8 ↗
4. Holland, S.D., Reusser, R.S.: Material evaluation by infrared thermography. Annu. Rev. Mater. Res. 46, 287–303 (2016)10.1146/annurev-matsci-070115-032014 ↗
5. Vavilov, V.P., Burleigh, D.D.: Review of pulsed thermal NDT: physical principles, theory and data processing. NDT&E Int. 73, 28–52 (2015)10.1016/j.ndteint.2015.03.003 ↗
6. Kamińska, P., et al.: Comparison of Pulse Thermography (PT) and Step Heating (SH) thermography in non-destructive testing of unidirectional GFRP composites. Fatigue Aircraft Struct. (2019). https://doi.org/10.2478/fas-2019-000910.2478/fas-2019-0009 ↗
7. Tran, Q.H., Huh, J., Kang, C., et al.: Detectability of subsurface defects with different width-to-depth ratios in concrete structures using pulsed thermography. J. Nondestr. Eval. 37(2), 32 (2018). https://doi.org/10.1007/s10921-018-0489-x10.1007/s10921-018-0489-x ↗
8. Ibarra-Castanedo, C., Maldague, X.: Pulsed phase thermography reviewed. Quant. Infrared Thermogr. J. 1(1), 47–70 (2004). https://doi.org/10.3166/qirt.1.47-7010.3166/qirt.1.47-70 ↗
9. Wu, D., Busse, G.: Lock-in thermography for nondestructive evaluation of materials. Rev. Générale Therm. 37(8), 693–703 (1998). https://doi.org/10.1016/S0035-3159(98)80047-010.1016/S0035-3159(98)80047-0 ↗
10. Meola, C., Carlomagno, G., Squillace, A., Vitiello, A.: Non-destructive evaluation of aerospace materials with lock-in thermography. Eng. Fail. Anal. 13(3), 380–388 (2006). https://doi.org/10.1016/j.engfailanal.2005.02.00710.1016/j.engfailanal.2005.02.007 ↗
11. Breitenstein, O., Warta, W., Langenkamp, M.: Lock-in Thermography, vol. 10. Springer, Berlin (2010). https://doi.org/10.1007/978-3-642-02417-7_210.1007/978-3-642-02417-7_2 ↗
12. Tian, G., Wilson, J., Cheng, L., Almond, D., Kostson, E., Weekes, B.: Pulsed eddy current thermography and applications. In: Mukhopadhyay SC (eds) New Developments in Sensing Technology for Structural Health Monitoring. Lecture Notes in Electrical Engineering, vol. 96. Springer, Berlin. https://doi.org/10.1007/978-3-642-21099-0_10 (2011)10.1007/978-3-642-21099-0_10 ↗
13. Favro, L., Han, X., Ouyang, Z., Sun, G., Thomas, R.: Sonic IR imaging of cracks and delaminations. Anal. Sci. 17, 451–453 (2001). https://doi.org/10.14891/analscisp.17icpp.0.s451.010.14891/analscisp.17icpp.0.s451.0 ↗
14. Holland, S., et al.: Quantifying the vibrothermographic effect. NDT E Int. 44(8), 775–782 (2011). https://doi.org/10.1016/j.ndteint.2011.07.00610.1016/j.ndteint.2011.07.006 ↗
15. Vaddi, J., Lesthaeghe, T., Holland, S.: Determining heat intensity of a fatigue crack from measured surface temperature for vibrothermography. Meas. Sci. Technol. 31(9), 094007 (2020)10.1088/1361-6501/ab8cfd ↗
16. Pieczonka, L., Szwedo, M.: Vibrothermography. In: Stepinski, T., Uhl, T., Staszewski, W.J. (eds.) Advanced Structural Damage Detection: From Theory to Engineering Applications, pp. 233–261. Wiley, New York (2013)
17. Pieczonka, L., Aymerich, F., Brozek, G., Szwedo, M., Staszewski, W., Uhl, T.: Modelling and numerical simulations of vibrothermography for impact damage detection in composites structures. Struct. Control. Health Monit. 20(4), 626–638 (2013). https://doi.org/10.1002/stc.148310.1002/stc.1483 ↗
18. Katunin, A.: A concept of thermographic method for non-destructive testing of polymeric composite structures using self-heating effect. Sensors 18(1), 74 (2018). https://doi.org/10.3390/s1801007410.3390/s18010074 ↗
19. Li, T., Almond, D.P., Andrew, D., Rees, S.: Crack imaging by scanning pulsed laser spot thermography. NDT E Int. 44(2), 216–225 (2011). https://doi.org/10.1016/j.ndteint.2010.08.00610.1016/j.ndteint.2010.08.006 ↗
20. Montinaro, N., Cerniglia, D., Pitarresi, G.: Evaluation of vertical fatigue cracks by means of flying laser thermography. J. Nondestr. Eval. 38(2), 48 (2019). https://doi.org/10.1007/s10921-019-0586-510.1007/s10921-019-0586-5 ↗
21. Jiao, D., et al.: Laser multi-mode scanning thermography method for fast inspection of micro-cracks in TBCs surface. J. Nondestr. Eval. 37(2), 30 (2018). https://doi.org/10.1007/s10921-018-0485-110.1007/s10921-018-0485-1 ↗
22. Montinaro, N., Cerniglia, D., Pitarresi, G.: A numerical study on interlaminar defects characterization in fibre metal laminates with flying laser spot thermography. J. Nondestr. Eval. 37(3), 41 (2018). https://doi.org/10.1007/s10921-018-0494-010.1007/s10921-018-0494-0 ↗
23. Pech-May, N., et al.: Fast characterization of the width of vertical cracks using pulsed laser spot infrared thermography. J. Nondestr. Eval. 35(2), 22 (2016). https://doi.org/10.1007/s10921-016-0344-x10.1007/s10921-016-0344-x ↗
24. Puthiyaveettil, N., et al.: Laser line scanning thermography for surface breaking crack detection: modeling and experimental study. Infrared Phys. Technol. 104, 103141 (2020). https://doi.org/10.1016/j.infrared.2019.10314110.1016/j.infrared.2019.103141 ↗
25. Sarkar, D., Bali, R., Sharma, T.: Practical Machine Learning with Python. A Problem-Solvers Guide to Building Real-World Intelligent Systems. Apress, Berkely (2018)10.1007/978-1-4842-3207-1 ↗
26. Saeed, N., Al Zarkani, H., Omar, M.: Sensitivity and robustness of neural networks for defect-depth estimation in CFRP composites. J. Nondestr. Eval. 38(3), 74 (2019). https://doi.org/10.1007/s10921-019-0607-410.1007/s10921-019-0607-4 ↗
27. Forero-Ramírez, J., Restrepo-Girón, A., Nope-Rodríguez, S.: Detection of internal defects in carbon fiber reinforced plastic slabs using background thermal compensation by filtering and support vector machines. J. Nondestr. Eval. 38(1), 33 (2019). https://doi.org/10.1007/s10921-019-0569-610.1007/s10921-019-0569-6 ↗
28. Roemer, J., Pieczonka, L., Juszczyk, M., Uhl, T.: Nondestructive testing of ceramic hip joint implants with laser spot thermography. Arch. Metall. Mater. 62(4), 2133–2139 (2017). https://doi.org/10.1515/amm-2017-031510.1515/amm-2017-0315 ↗
29. Shepard, S.: System for generating thermographic images using thermographic signal reconstruction. U.S. Patent No 6,751,342 (2004)
30. Roemer, J.: The concept of Laser Spot Thermography test rig with real-time data processing. Int. J. Multiphys. 14(1), 31–38 (2020). https://doi.org/10.21152/1750-9548.14.1.3110.21152/1750-9548.14.1.31 ↗
31. Lloyd, S.P.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28, 129–137 (1982)10.1109/TIT.1982.1056489 ↗