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Non-destructive testing (NDT) is one of the best alternatives to perform inspections and maintenance operations in aerospace and aeronautics industries. In Lock-in Thermal Tests (LTT) the stimulation is modulated in a sinusoidal wave using mechanical loads, ultrasounds, microwaves or, as in this work, visible light through halogen lamps. This work assesses the influence of the parameters of LTT, such as defect geometry, cycle period, and number of cycles, interpolation method, and the type of image to identify the sensitivity of the LTT (parameter c). Several samples were manufactured with precise notches to simulate defects (slots). And performed several LTT in a controlled environment and with a custom jig to secure the samples. The performed tests permitted the analysis of various results for numerous types of controlled situations and defects, such as the slot width, depth, and cycle period. This work compared the number of cycles used during the test (1–15), the interpolation method (Harmonic or DFT) and the type of analysis (phase or amplitude). The cycle period indirectly defines the amount of energy applied during the test; therefore, it was expected to have a great impact in the results. Shorter cycles produced lower thermal differences, while longer cycles resulted in blurred images. The type of image was also found to be one of the most important setting, with the phase delay analysis presenting a higher differentiation of defects and its boundaries. The results from the variation of the number of cycles revealed these should be kept between three and nine. Additionally, the optical stimulation may also be a decisive setting, depending the defect geometry. As a major conclusion, the current LTT can detect defects with a width to depth ratio of 1.25, far less than 2.0, as is stated by the current literature.
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Roberts, C.C., Jr., Infrared temperature measurement applied to engineering design analysis, Am. Soc. Mech. Eng., paper no. 75-WA/TM-3, 1975.
Vavilov, V.P., Thermal nondestructive testing of materials and products: a review, Russ. J. Nondestr. Test., 2017, vol. 53, no. 10, pp. 707–730. CrossRef
Mountain, D.S. and Webber, J.M.B., Stress pattern analysis by thermal emission (SPATE), in Fourth Eur. Electro-Opt. Conf., 1979, vol. 164, pp. 189–196.
Kuo, P.K., Feng, Z.J., Ahmed, T., Favro, L.D., Thomas, R.L., and Hartikainen, J., Parallel thermal wave imaging using a vector lock-in video technique, in Photoacoustic and Photothermal Phenomena, vol. 58, Hess, P. and Pelzl, J., Eds., Berlin–Heidelberg: Springer, 1988, pp. 415–418. CrossRef
Vavilov, V.P. and Nesteruk, D.A., Comparative analysis of optical and ultrasonic stimulation of flaws in composite materials, Russ. J. Nondestr. Test., 2010, vol. 46, no. 2, pp. 147–150. CrossRef
Breitenstein, O., Rakotoniaina, J., Altmann, F., Riediger, T., and Gradhand, M., New developments in IR lock-in thermography, in Proc. 30th ISTFA, 2004, pp. 595–599.
Datong Wu, G.B., Lock-in thermography for nondestructive evaluation of materials, Rev. Gén. Therm., 1998, vol. 37, pp. 693–703.
Muzaffar, K., Tuli, S., and Koul, S., Beam width estimation of microwave antennas using lock-in infrared thermography, Infrared Phys. Technol., 2015, vol. 72, pp. 244–248. CrossRef
Giorleo, G., Meola, C., and Squillace, A., Analysis of defective carbon-epoxy by means of lock-in thermography, Res. Nondestr. Eval., 2000, vol. 12, pp. 241–250. CrossRef
Choi, M., Kang, K., Park, J., Kim, W., and Kim, K., Quantitative determination of a subsurface defect of reference specimen by lock-in infrared thermography, NDT & E Int., 2008, vol. 41, no. 2, pp. 119–124. CrossRef
Danjoux, R., Merienne, E., Beaudoin, J.L., and Egee, M., Numerical system for infrared scanners and application to the subsurface control of materials by photothermal radiometry, Proc. SPIE, 1986, vol. 590, pp. 285–292. CrossRef
Quek, S., Almond, D.P., Nelson, L., and Barden, T., A novel and robust thermal wave signal reconstruction technique for defect detection in lock-in thermography, Meas. Sci. Technol., 2005, vol. 16, no. 5, pp. 1223–1233. CrossRef
Umar, M.Z., Vavilov, V.P., Abdullah, H., and Ariffin, A.K., Detecting low-energy impact damages in carbon-carbon composites by ultrasonic infrared thermography, Russ. J. Nondestr. Test., 2017, vol. 53, no. 7, pp. 530–538. CrossRef
Gleiter, A., Riegert, G., Zweschper, T., and Busse, G., Ultrasound lock-in thermography for advanced depth resolved defect selective imaging, Insight, 2007, vol. 49, no. 5, pp. 272–274. CrossRef
Delanthabettu, S., Menaka, M., Venkatraman, B., and Raj, B., Defect depth quantification using lock-in thermography, Quant. Infrared Thermogr. J., 2015, no. ahead-of-print, pp. 1–16.
Sharath, D., Menaka, M., and Venkatraman, B., Effect of defect size on defect depth quantification in pulsed thermography, Meas. Sci. Technol., 2013, vol. 24, no. 12, p. 125 205. CrossRef
Bennett CA, P.R. Jr., Thermal wave interferometry: a potential application of the photoacoustic effect, Appl. Opt., 1982, vol. 21, pp. 49–54. CrossRef
Ibarra-Castanedo, C. and Maldague, X.P.V., Interactive methodology for optimized defect characterization by quantitative pulsed phase thermography, Res. Nondestr. Eval., 2005, vol. 16, no. 4, pp. 175–193. CrossRef
Maierhofer, C., Reischel, M., Röllig, M., Myrach, P., Steinfurth, H., and Kunert, M., Characterizing damage in CFRP structures using flash thermography in reflection and transmission configurations, Composites: Part B, 2014, vol. 57, pp. 35–46. CrossRef
Dudzik, S., Analysis of the accuracy of a neural algorithm for defect depth estimation using PCA processing from active thermography data, Infrared Phys. Technol., 2013, vol. 56, pp. 1–7. CrossRef
Dudzik, S., Characterization of material defects using active thermography and an artificial neural network., Metrol. Meas. Syst., 2013, vol. 20, no. 3, pp. 491–500. CrossRef
Ishikawa, M., Hatta, H., Habuka, Y., Fukui, R., and Utsunomiya, S., Detecting deeper defects using pulse phase thermography, Infrared Phys. Technol., 2013, vol. 57, pp. 42–49. CrossRef
Montanini, R., Quantitative determination of subsurface defects in a reference specimen made of Plexiglas by means of lock-in and pulse phase infrared thermography, Infrared Phys. Technol., 2010, vol. 53, pp. 363–371. CrossRef
Mulaveesala, R. and Tuli, S., Theory of frequency modulated thermal wave imaging for nondestructive subsurface defect detection, Appl. Phys. Lett., 2006, vol. 89, no. 19, p. 191 913. CrossRef
Ibarra-Castanedo, C. and Maldague, X.P., Defect depth retrieval from pulsed phase thermographic data on plexiglas and aluminum samples, in Defense and Security, 2004, pp. 348–356.
Feuillet, V., Ibos, L., Fois, M., Dumoulin, J., and Candau, Y., Defect detection and characterization in composite materials using square pulse thermography coupled with singular value decomposition analysis and thermal quadrupole modeling, NDT & E Int., 2012, vol. 51, pp. 58–67. CrossRef
Maierhofer, C., Röllig, M., Ehrig, K., Meinel, D., and Céspedes-Gonzales, G., Validation of flash thermography using computed tomography for characterizing inhomogeneities and defects in CFRP structures, Composites: Part B, 2014, vol. 64, pp. 175–186. CrossRef
Zoecke, C., Langmeier, A., and Arnold, W., Size retrieval of defects in composite material with lockin thermography, J. Phys.: Conf. Ser., 2010, vol. 214, no. 1, p. 012 093.
Chatterjee, K. and Tuli, S., Prediction of blind frequency in lock-in thermography using electro- thermal model based numerical simulation, J. Appl. Phys., 2013, vol. 114, no. 17. CrossRef
Assael, M.J., Botsios, S., Gialou, K., and Metaxa, I.N., Thermal conductivity of polymethyl methacrylate (PMMA) and borosilicate crown glass BK7, Int. J. Thermophys., 2005, vol. 26, no. 5, pp. 1595–1605. CrossRef
- Non-Destructive Infrared Lock-in Thermal Tests: Update on the Current Defect Detectability
António Ramos Silva
Sofia Ribeirinho Leite
- Pleiades Publishing
in-adhesives, MKVS, Zühlke/© Zühlke, Nordson/© Nordson, ViscoTec/© ViscoTec, Hellmich GmbH/© Hellmich GmbH