Accessible Requires Authentication Published by Oldenbourg Wissenschaftsverlag November 26, 2019

Optical coherence tomography for non-destructive testing

Optische Kohärenztomographie für die zerstörungsfreie Prüfung
Fabian Zechel, Rouwen Kunze, Niels König ORCID logo and Robert Heinrich Schmitt
From the journal tm - Technisches Messen

Abstract

In this review paper, conventional non-destructive testing (NDT) methods are briefly introduced and compared with selected examples for applications of optical coherence tomography (OCT) for NDT. The contactless, non-destructive and purely optical method enables multi-dimensional imaging for tomographic real-time evaluation in various fields of application. Depending on the material, penetration depths of several millimeters can be achieved, thus providing an attractive solution that can be used both as a stand-alone and as a process-integrated solution.

Zusammenfassung

In diesem Review-Paper werden konventionelle zerstörungsfreie Prüfverfahren kurz vorgestellt und mit der optischen Kohärenztomographie (OCT), anhand ausgewählter Beispiele verglichen. Das kontaktlose, zerstörungsfreie und rein optische Verfahren ermöglicht mehrdimensionale Aufnahmen zur tomografischen Echtzeit-Evaluation in verschiedenen Anwendungsfeldern. Dabei werden Eindringtiefen, je nach Material von mehreren Millimetern erreicht und so eine attraktive Lösung bereitgestellt, die als Standalone-Verfahren genauso wie als prozessintegrierte Lösung genutzt werden kann.

Bibliography

1. P. Duchene, A. Chaki und P. Krawczak, “A review of non-destructive techniques used for mechanical damage assessment in polymer composites,” Journal of Materials Science, Bd. 53, Nr. 11, pp. 7915–7938, 2018. Search in Google Scholar

2. A. du Plessis, S. G. le Roux und A. Guelpa, “Comparison of medical and industrial X-ray computed tomography for non-destructive testing,” Case Studies in Nondestructive Testing and Evaluation, pp. 17–25, 2016. Search in Google Scholar

3. A. Singhal, J. C. Grande und Y. Zhou, “Micro/Nano-CT for Visualization of Internal Structures,” Microscopy Today, pp. 16–22, 2013. Search in Google Scholar

4. J. Garrcia-Martin, J. Gómez-Gil und E. Vázquez-Sánchez, “Non-Destructive Techniques Based on Eddy Current Testing,” Sensors, pp. 2525–2565, 2011. Search in Google Scholar

5. F. Ciampa, P. Mahmoodi, F. Pinto und M. Meo, “Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components,” Sensors, 2018. Search in Google Scholar

6. E. Rosenkrantz, A. Bottero, D. Komatitsch und V. Monteiller, “A flexible numerical approach for non-destructive ultrasonic testing based on a time-domain spectral-element method: Ultrasonic modeling of Lamb waves in immersed defective structures and of bulk waves in damaged anisotropic materials,” NDT and E International, pp. 72–86, 2019. Search in Google Scholar

7. M. Schöberl, K. Kasnakli und A. Nowak, “Measuring Strand Orientation in Carbon Fiber Reinforced Plastics (CFRP) with Polarization,” in 19th World Conference on Non-Destructive Testing 2016, Munich, 2016. Search in Google Scholar

8. A. Nemeth, G. Hannesschläger, E. Leiss-Holzinger, K. Wiesauer und M. Leitner, “Optical Coherence Tomography – Applications in Non-Destructive Testing and Evaluation,” in Optical Coherence Tomography, IntechOpen, 2013, pp. 163–185. Search in Google Scholar

9. M. Strakowski, J. Plucinski und B. Kosmowski, “Cross-Sectional Imaging of Materials,” Acta Physica Polonica A, Bd. 114, Nr. 6-A, pp. 217–221, 2008. Search in Google Scholar

10. N. König, R. Kunze und R. Schmitt, “Monitoring of laser material processing using machine integrated low-coherence interferometry,” in Fifth International Conference on Optical and Photonics Engineering, Singapore, 2017. Search in Google Scholar

11. R. H. Schmitt, G. Mallmann, M. Devrient und M. Schmidt, “3D polymer weld seam characterization based on optical coherence tomography for laser transmission welding applications,” in 8th International Conference on Photonic Technologies LANE 2014, 2014. Search in Google Scholar

12. P. J. L. Webster, J. X. Z. Yu, B. Y. C. Leung, M. D. Anderson, V. X. D. Yang und J. M. Fraser, “In situ 24 kHz coherent imaging of morphology change in laser percussion drilling,” Optics Letters, Bd. 35, Nr. 5, pp. 646–648, 2010. Search in Google Scholar

13. P. Lu, R. M. Groves und B. Rinze, “3D monitoring of delamination growth in a wind turbine blade composite using optical coherence tomography,” NDT & E International, Bd. 64, pp. 52–58, 2014. Search in Google Scholar

14. N. König, “Optische Kohärenztomographie,” in Leitfaden zur Bildverarbeitung in der zerstörungsfreien Prüfung, Stuttgart, Fraunhofer Verlag, 2018, pp. 51–54. Search in Google Scholar

15. K. Kim, P. Kim, J. Lee, S. Kim, S. Park, S. Choi und J. Hwang, “Non-Destructive Identification of Weld-Boundary and Porosity Formation During Laser Transmission Welding by Using Optical Coherence Tomography,” IEEE Access, Bd. 6, pp. 76768–76775, 2018. Search in Google Scholar

16. M. Wiesenfeldt, W. Lauterborn und T. Kurz, Kohärente Optik, Berlin, Heidelberg, New York, Springer-Verlag, 1993. Search in Google Scholar

17. W. Drexler, F. Morgner, F. Kärtner, C. Pitris, S. Boppart, X. Li und G. Fujimoto, “In vivo ultrahigh-resolution optical coherence tomography,” Optics Letters, Bd. 24, Nr. 17, pp. 1221–1223, 1999. Search in Google Scholar

18. M. Riediger und R. Schmitt, “Verfahren zur kombinierten Form- and Zentrierprüfung mikrooptischer Asphären mit Optischer Kohärenztomographie,” tm – Technisches Messen, Bd. 86, Nr. 4, pp. 208–215, 2019. Search in Google Scholar

19. W. Wiesner, B. Biedermann, T. Klein, C. Eigenwillig und R. Huber, “Multi-Megahertz OCT: High quality 3D imaging at 20 million A-scans and 4.5 GVoxels per second,” Optics Express, Bd. 18, Nr. 14, pp. 14685–14704, 2010. Search in Google Scholar

20. D. D. Sampson und T. R. Hillman, “Optical coherence tomography,” in Comprehensive Series in Photosciences, Cambridge, 2004, pp. 481–570. Search in Google Scholar

21. P. Ekberg, R. Su, E. Y. S. Chang und L. Mattsson, “Fast and accurate metrology of multi-layered ceramic materials by an automated boundary detection algorithm developed for optical coherence tomography data,” Journal of the Optical Society of America A, Bd. 31, Nr. 2, pp. 217–226, 2014. Search in Google Scholar

22. S. Ortiz, D. Siedlecki, I. Grulkowski, L. Remon, D. Pascual, M. Wojtkowski und S. Marcos, “Optical distortion correction in optical coherence tomography for quantitative ocular anterior segment by three-dimensional imaging,” Optics express, Bd. 18, Nr. 3, pp. 2782–2796, 2010. Search in Google Scholar

23. R. Su, M. Kirillin, E. W. Chang, E. Sergeeva, S. H. Yun und L. Mattsson, “Perspectives of mid-infrared optical coherence tomography for inspection and micrometrology of industrial ceramics,” Optics Express, Bd. 22, Nr. 13, p. 15804–15819, 2014. Search in Google Scholar

24. J.-T. Oh und S.-W. Kim, “Polarization-sensitive optical coherence tomography for photolasticity testing of glass/epoxy composites,” Optics Express, Bd. 11, Nr. 14, pp. 1669–1676, 2003. Search in Google Scholar

25. D. Stifter, E. Leiss-Holzinger, B. Heise, J.-L. Bouchot, Z. Major, M. Pircher, E. Götzinger, B. Baumann und C. K. Hitzenberger, “Spectral Domain Polarization Sensitive Optical Coherence Tomography at 1.55 μm: Novel Developments and Applications for Dynamic Studies in Materials Science,” Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, Bd. 7889, pp. 143–150, 2011. Search in Google Scholar

26. D. Stifter, P. Burgholzer, O. Höglinger, E. Götzinger und C. Hitzenberger, “Polarisation sensitive optical coherence tomography for material analysis and diagnostics,” in XVII IMEKO World Congress Metrology in the 3rd Millenium, Dubrovnik, Croatia, 2003. Search in Google Scholar

27. R. Schmitt, G. Mallmann, K. Winands und M. Pothen, “Automated Process Initialization of Laser Surface Structuring Processes by Inline Process Metrology,” Physics Procedia, Bd. 41, pp. 887–895, 2013. Search in Google Scholar

28. R. Schmitt, G. Mallmann, K. Winands und M. Pothen, “Inline Process Metrology System for the Control of Laser Surface Structuring Processes,” Physics Procedia, Bd. 39, pp. 814–822, 2012. Search in Google Scholar

Received: 2019-06-30
Accepted: 2019-11-06
Published Online: 2019-11-26
Published in Print: 2020-06-25

© 2020 Walter de Gruyter GmbH, Berlin/Boston