Abstract
In this paper, Barker code thermography is used to detect delamination defects incarbon fiber reinforced polymer (CFRP). Detection capability of this imaging technique is assessed through quantitative analysis of the signal-to-noise ratio (SNR) in the acquired feature images. An infrared thermography experimental system has been developed to implement the Barker code modulation for pulse compression excitation signals. A reference CFRP specimen with different diameter-to-depth ratio defects was tested. Three thermal wave imaging algorithms, namely principal component analysis (PCA), fitting correlation coefficient (FCC) and total harmonic distortion (THD), have been applied to process the acquired infrared images sequences, and determine SNR values characterizing the processing results. The experimental results show that Barker code thermography has the advantages of simple modulation and easy implementation. Also, the PCA algorithm outperforms the techniques of FCC and THD in terms of the SNR to enable effective identification defects in CFRP.
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REFERENCES
Sebaey, T.A., Kumar Rajak, D., and Mehboob, H., Internally stiffened foam-filled carbon fiber reinforced composite tubes under impact loading for energy absorption applications, Compos. Struct., 2021, vol. 255, p. 112910.
Goh, G.D., Dikshit, V., Nagalingam, A.P., et al., Characterization of mechanical properties and fracture mode of additively manufactured carbon fiber and glass fiber reinforced thermoplastics, Mater. Des., 2018, vol. 137, pp. 79–89.
Wang, F., Liu, J., Liu, L., et al., Quantitative non-destructive evaluation of CFRP delamination defect using laser induced chirp-pulsed radar photothermal tomography, Opt. Lasers Eng., 2022, vol. 149, p. 106830.
Zhang, X., He, Y., Chady, T., et al., CFRP impact damage inspection based on manifold learning using ultrasonic induced thermography, IEEE Trans. Indr. Inf., 2019, vol. 15, no. 5, pp. 2648–2659.
Moskovchenko, A., Vavilov, V., Bernegger, R., et al., Detecting delaminations in semitransparent glass fiber composite by using pulsed infrared thermography, J. Nondestr. Eval., 2020, vol. 39, no. 3, p. 57–61.
Schwedersky, Bernardo, B., et al., Impact damage characterization in CFRP samples with self-organizing maps applied to lock-in thermography and square-pulse shearography images, Expert Syst. Appl., 2022, vol. 192, p. 116297.
Maldague, X., Galmiche, F., and Ziadi, A., Advances in pulsed phase thermography, Infrared Phys. Technol., 2002, vol. 43, no. 5, pp. 175–181.
Tabatabaei, N. and Mandelis, A., Thermal coherence tomography using match filter binary phase coded diffusion waves, Phys. Rev. Lett., 2011, vol. 107, pp. 1–5.
Ghali, V.S., Jonnalagadda, N., and Mulaveesala, R., Three-dimensional pulse compression for infrared nondestructive testing, IEEE Sens. J., 2009, vol. 9, pp. 832–833.
Gong, J., Liu, J., Qin, L., and Wang, Y., Investigation of carbon fiber reinforced polymer (CFRP) sheet with subsurface defects inspection using thermal-wave radar imaging (TWRI) based on the multi-transform technique, NDT & E Int., 2014, vol. 62, pp. 130–136.
Yang, R. and He, Y., Pulsed inductive thermal wave radar (PI-TWR) using cross correlation matched filtering in eddy current thermography, Infrared Phys. Technol., 2015, vol. 71, pp. 469–474.
Silipigni, G., Burrascano, P., Hutchins, D.A., et al., Optimization of the pulse-compression technique applied to the infrared thermography nondestructive evaluation, NDT & E Int., 2017, vol. 87, pp. 100–110.
Mulaveesala, R. and Tuli, S., Theory of frequency modulated thermal wave imaging for nondestructive subsurface defect detection, Appl. Phys. Lett., 2006, vol. 89(19), p. 191913.
Mulaveesala, R. and Venkata, G.S., Coded excitation for infrared non-destructive testing of carbon fiber reinforced plastics, Rev. Sci. Instrum., 2011, vol. 82, no. 5, p. 054902.
Mulaveesala, R. and Arora, V., Complementary coded thermal wave imaging scheme for thermal non-destructive testing and evaluation, Quant. InfraRed Thermogr. J., 2017, vol. 14, no. 1, pp. 44–53.
Shi, Q., Liu, J., Liu, W., et al., Barker-coded modulation laser thermography for CFRP laminates delamination detection, Infrared Phys. Technol., 2019, vol. 98, pp. 55–61.
Bu, C., Li, R., Liu, T., et al., Micro-crack defects detection of semiconductor Si-wafers based on Barker code laser infrared thermography, Infrared Phys. Technol., 2022, vol. 123, p. 104160.
Ahmad, J., Akula, A., Mulaveesala, R., et al., Defect detection capabilities of independent component analysis for Barker coded thermal wave imaging, Infrared Phys. Technol., 2020, vol. 104, p. 103118.
Wang, F., Wang, Y., Liu, J., et al., Optical excitation fractional Fourier transform (FrFT) based enhanced thermal-wave radar imaging (TWRI), Opt. Express, 2018, vol. 26(17), p. 21403.
Gong, J., Zheng, Y., and Liu, J., A study on the SNR performance analysis of laser-generated bidirectional thermal wave radar imaging inspection for hybrid C/GFRP laminate defects, Infrared Phys. Technol., 2020, vol. 111, no. 7, p. 103526.
Bu, C., Li, R., Liu, T., et al., Micro-crack defects detection of semiconductor Si-wafers based on Barker code laser infrared thermography, Infrared Phys. Technol., 2022, vol. 123, p. 104160.
Rajic, N., Principal component thermography for flaw contrast enhancement and flaw depth characterization in composite structures, Compos. Struct., 2002, vol. 58, pp. 521–528.
Bu, C.W., Liu, G.Z., Zhang, X.B., et al., Debonding defects detection of FMLs based on long pulsed infrared thermography technique, Infrared Phys. Technol., 2020, vol. 104, p. 103074-1–103074-7.
D'Accardi, E., Palumbo, D., Tamborrino, R., et al., A quantitative comparison among different algorithms for defects detection on aluminum with the pulsed thermography technique, Metals, 2018, vol. 8, no. 10, p. 859.
Zhang, H., Sfarra, S., Sarasini, F., et al., Optical and mechanical excitation thermography for impact response in basalt-carbon hybrid fiber-reinforced composite laminates, IEEE Trans. Ind. Inf., 2018, vol. 14, no. 2, pp. 514–522.
Funding
This project is supported by Heilongjiang Province Natural Science Fund (grant no. LH2021E088).
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Chiwu Bu: Conceptualization, methodology, writing—review and editing, supervision, project administration. Tao Liu: methodology, software, data collection, validation, investigation, writing—original draft preparation. Bo Zhao: methodology, software, investigation. Rui Li: methodology, data collection, validation.
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Bu, C., Liu, T., Zhao, B. et al. Barker Code Thermography Inspection and Reliability Evaluation for CFRP Defects Detection. Russ J Nondestruct Test 59, 1083–1092 (2023). https://doi.org/10.1134/S1061830923600545
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DOI: https://doi.org/10.1134/S1061830923600545