Vol. 20 No. 1 (2023): Journal of Non Destructive Testing and Evaluation (JNDE), March 2023
Research Papers

Defect Detection Capabilities of Barker-Coded Thermal Wave Imaging in Titanium Alloy (Ti-6AL-4V)

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  • Anshul Sharma,
  • Vanita Arora,
  • Ishant Singh,
  • Priyanka Das,
  • Ravibabu Mulaveesala
Anshul Sharma
InfraRed Imaging Laboratory (IRIL) Laboratory, Centre for Sensors, Instrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi
Vanita Arora
Indian Institute of Information Technology Una, Vill. Saloh, Teh. Haroli, Distt. Una Himachal Pradesh, India-177209
Ishant Singh
InfraRed Imaging Laboratory (IRIL) Laboratory, Centre for Sensors, Instrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi
Priyanka Das
InfraRed Imaging Laboratory (IRIL) Laboratory, Centre for Sensors, Instrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi
Ravibabu Mulaveesala
InfraRed Imaging Laboratory (IRIL) Laboratory, Centre for Sensors, Instrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi

Published 12-03-2023

Keywords

  • Barker-Coded Thermal Wave Imaging (BCTWI),
  • Pulse compression,
  • Titanium alloy (Ti-6Al-4V),
  • signal-to-noise ratio,
  • correlation coefficient

How to Cite

Sharma, A., Arora, V., Singh, I., Das, P., & Mulaveesala, R. (2023). Defect Detection Capabilities of Barker-Coded Thermal Wave Imaging in Titanium Alloy (Ti-6AL-4V). Journal of Non-Destructive Testing and Evaluation (JNDE), 20(1), 44–52. Retrieved from https://jnde.isnt.in/index.php/JNDE/article/view/30

Copyright (c) 2023 Journal of Non-Destructive Testing and Evaluation (JNDE)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Abstract

Pulse compression favorable active infrared thermographic techniques have emerged as highly promising evaluation methodologies among various thermal non-destructive testing and imaging modalities for identifying subsurface anomalies in the test specimen. Because they outperform commonly utilized pulse and periodically modulation-based conventional thermal wave imaging modalities regarding defect detection sensitivity and resolution while employing low peak power heat sources and a comparatively moderate amount of experimenting time. Recently proposed Barker-Coded Thermal Wave Imaging (BCTWI) has offered these advantages over other infrared thermographic techniques. Several data processing methodologies are also be developing to characterize the anomalies from the depicted thermal data. This study highly recommends pulse compression-based data processing approaches for the Barker-coded thermal wave imaging technique. This is because it enhances the localization of supplied thermal energy into the main lobe of cross-correlation data and dispenses significantly less energy into the sidelobes. Current study focused on the application of BCTWI modality with time domain-based and frequency domain data processing approaches such as time domain correlation, time domain phase and frequency domain phase analysis for defect detection in Titanium alloy (Ti-6Al-4V). The results show that the pulse compression-based time domain analysis of the captured thermal data over the test specimen has improved the visibility, contrast, and detectability of the anomalies regarding the frequency domain. Further, the findings depicted using the various approaches have been contrasted using the correlation coefficient as the figures of merit.

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References

  1. Dieter, G. E. (1986), “Mechanical Metallurgy”, McGraw-Hill Book Company, New York, NY, USA
  2. Davis, J. R. (2003), “Handbook of Materials for Aerospace Engineering”, Butterworth-Heinemann, Oxford, UK
  3. Gittos, M. F., & Smith, R. C. (1984), “Ultrasonic detection of defects in titanium alloys”, Ultrasonics, 22(1), 11-19
  4. Evans, R. D., & Halbig, M. C. (1998), “Eddy current testing of titanium alloys”, Materials Evaluation, 56(9), 1052-1056
  5. Bollinger, R. A., & McQuaid, R. A. (1983), “Magnetic particle inspection of titanium alloys”, Materials Evaluation, 41(3), 342-345
  6. Lee, C. H., Lee, K., & Lee, S. H. (2018), “Nondestructive testing of titanium and titanium alloys”, Metals, 8(7), 523
  7. Maldague, X. P. V. (2001), “Theory and practice of infrared technology for nondestructive testing”, John Wiley & Sons
  8. Bahrami, M., & Bakhtiari-Nejad, F. (2013), “Applications of infrared thermography in nondestructive evaluation of materials: A review article”, Journal of Nondestructive Evaluation, 32(2), 89-103
  9. Salazar, A., & Díaz, A. (2015), “Thermography as a non-destructive testing tool”, Infrared Physics & Technology, 70, 28-47
  10. Fernández, F. F., López-Higuera, J. M., & Salgado, J. A. (2015), “Application of infrared thermography for defect detection in aerospace structures”, Sensors, 15(9), 23549-23578
  11. Sakagami, T., and Kubo, S. (2002), “Applications of pulse heating thermography and lock-in thermography to quantitative non-destructive evaluations”, Infrared Physics and Technology, vol. 43, no. 3-5, pp. 211-218
  12. Rosencwaig, A, (1982), “Thermal-wave imaging”, Science, vol. 218, no. 4569, pp. 223-228
  13. Busse, G., and Eyerer, P. (1983), “Thermal wave remote and nondestructive inspection of polymers”, Applied Physics Letters, vol. 43, no. 4, pp. 355-357, DOI: 10.1063/1.94335
  14. Dillenz, A., Zweschper, T., Riegert, G., and Busse, G. (2003), “Progress in phase angle thermography”, Review of Scientific Instruments, vol. 74, no. 1 II, pp. 417-419
  15. Peng, D., and Jones, R. (2013), “Modelling of the lock-in thermography process through finite element method for estimating the rail squat defects”, Engineering Failure Analysis, vol. 28, pp. 275-288
  16. Yang, R., and He, Y. (2016), “Optically and non-optically excited thermography for composites: A review”, Infrared Physics & Technology, vol. 75, pp. 26-50
  17. Vavilov, V. P., and Marinetti, S.(1999), “Pulsed phase thermography and fourier-analysis thermal tomography”, Russian Journal of Nondestructive Testing, vol. 35, no. 2, pp.134-145
  18. Maldague, X., and Marinetti, S. (1996), “Pulse phase infrared thermography”, Journal of Applied Physics, 79 (5), pp. 2694- 2698
  19. Maldague, X., Galmiche, F., and Ziadi, A. (2002), “Advances in pulsed phase thermography”, Infrared Physics and Technology, vol. 43, no. (3-5), pp. 175-181
  20. Mulaveesala, R., & Venkata Ghali, S. (2011), “Coded excitation for infrared non-destructive testing of carbon fiber reinforced plastics”, Review of Scientific Instruments, 82(5), 054902
  21. Ghali, V.S., Panda, S.S.B., Mulaveesala, R. (2011), “Barker coded thermal wave imaging for defect detection in carbon fbre-reinforced plastics, Insight: Non-Destructive Testing & Condition Monitoring, vol. 53, No 11, pp. 621-624
  22. Dua, G., and Mulaveesala, R. (2013), “Applications of Barker coded infrared imaging method for characterisation of glass fibre reinforced plastic materials”, Electronics Letters, 49 (17), pp. 1071-1073
  23. Carslaw, H. S., and Jaeger, J. C. (1959), “Conduction of Heat in Solids. Oxford Clarendon Press”, London
  24. Özısık, M. N. (1993), “Heat conduction”, John Wiley & Sons
  25. Sharma, A., Mulaveesala, R., Dua, G. and Kumar, N. (2020), “Linear frequency modulated thermal wave imaging for estimation of osteoporosis: An analytical approach”, Electronics Letters, vol., 56, no. 19, pp. 1007-1010, doi: 10.1049/el.2020.0671
  26. Sharma, A., Mulaveesala, R., Dua, G., Arora, V. and Kumar, N. (2021), “Digitized Frequency Modulated Thermal Wave Imaging for Detection and Estimation of Osteoporosis”, IEEE Sensors Journal, Article vol. 21, no. 13, pp. 14003-14010, Art. no. 9286563
  27. Sharma, A., Mulaveesala, R., and Arora, V. (2020), “Novel analytical approach for estimation of thermal diffusivity and effusivity for detection of osteoporosis”, IEEE Sensors Journal, 20(11), pp. 6046-6054, doi:10.1109/JSEN.2020.2973233
  28. R Mulaveesala, J S Vaddi and P Singh (2008), “Pulse compression approach to infrared non-destructive characterisation”, Review of Scientific Instruments, 79 (9), art no 094901
  29. N Tabatabaei, A Mandelis and B T Amaechi (2011), ‘Thermophotonic radar imaging: an emissivity-normalised modality with advantages over phase lock-in thermography”, Applied Physics Letters, 98 (16), art no 163706
  30. Sharma, A., Dua, G., Arora, V., Kumar, N., Mulaveesala, R. (2022), “A Novel Analytical Approach for Nondestructive Testing and Evaluation of Bone Implants Using Frequency Modulated Thermal Wave Imaging”, Lecture Notes in Mechanical Engineering, pp. 273–285