journal article·2025-12

Numerical Simulation Study of Laser Ultrasound Synthetic Aperture Focusing Imaging Technology in Subsurface Defects

Wei Zeng, Huanzhang Chen, Yun Wei, Huiling Peng

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Abstract

Accurate detection of subsurface defects in materials is critical to ensuring the structural integrity and service reliability of workpieces. In order to address the challenge of visual detection of subsurface defects in workpieces, in this paper, a laser ultrasonic subsurface defect imaging method employing a dynamic two-dimensional (2D) rectangular window based on the time-domain synthetic aperture focusing technique (T-SAFT) is proposed. Firstly, the directional amplitude distribution of ultrasound generated by a pulse laser inside the workpiece and the propagation time delay characteristics of mode-converted acoustic waves are analyzed, and the longitudinal wave converted to shear wave (LS) signal to be used for the imaging of subsurface defects. Then, a numerical simulation model of laser ultrasonic subsurface defects is established, and the laser ultrasonic imaging method based on T-SAFT is adopted for the detection of subsurface defects. In order to achieve quantitative imaging detection of subsurface defects, a 2D dynamic rectangular window of appropriate size is introduced to extract the characteristic signals of subsurface defects. The visualization detection of subsurface defects with diameters ranging from 0.1 to 1.2 mm and burial depths ranging from 0.3 to 1.0 mm is successfully realized with the average detection error controlled within 7%. The proposed technique provides an effective detection method for the imaging detection of subsurface defects in laser ultrasonic technique filed.
Source: openalex_inverted_index · Quality: baseline

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OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Advanced Surface Polishing Techniques · Photoacoustic and Ultrasonic Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (28)

Show source-provided references
1. Maruschak, P., Prentkovskis, O., and Bishchak, R., Defectiveness of external and internal surfaces of the main oil and gas pipelines after long-term operation, J. Civ. Eng. Manage., 2016, vol. 22, no. 2, pp. 279–286. https://doi.org/10.3846/13923730.2015.110067210.3846/13923730.2015.1100672 ↗
2. Ahmad, J., Akula, A., Mulaveesala, R., and Sardana, H.K., An independent component analysis based approach for frequency modulated thermal wave imaging for subsurface defect detection in steel sample, Infrared Phys. Technol., 2019, vol. 98, pp. 45–54. https://doi.org/10.1016/j.infrared.2019.02.00610.1016/j.infrared.2019.02.006 ↗
3. Everton, S.K., Hirsch, M., Stravroulakis, P., Leach, R.K., and Clare, A.T., Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing, Mater. Des., 2016, vol. 95, pp. 431–445. https://doi.org/10.1016/j.matdes.2016.01.09910.1016/j.matdes.2016.01.099 ↗
4. Xie, L., Lian, Y., Du, F., Wang, Y., and Lu, Z., Optical methods of laser ultrasonic testing technology in the industrial and engineering applications: A review, Opt. Laser Technol., 2024, vol. 176, p. 110876. https://doi.org/10.1016/j.optlastec.2024.11087610.1016/j.optlastec.2024.110876 ↗
5. Sun, F., Chen, J., Zhang, J., et al., Study on the surface/subsurface defects of cylindrical components based on laser ultrasonic technology, Opt. Laser Technol., 2025, vol. 180, p. 111399. https://doi.org/10.1016/j.optlastec.2024.11139910.1016/j.optlastec.2024.111399 ↗
6. Zarei, A. and Pilla, S., Laser ultrasonics for nondestructive testing of composite materials and structures: A review, Ultrasonics, 2024, vol. 136, p. 107163. https://doi.org/10.1016/j.ultras.2023.10716310.1016/j.ultras.2023.107163 ↗
7. Wang, C., Sun, A., Yang, X., Ju, B.-F., and Pan, Y., Numerical simulation of the interaction of laser-generated Rayleigh waves with subsurface cracks, Appl. Phys. A, 2018, vol. 124, p. 1–10. https://doi.org/10.1007/s00339-018-2039-x10.1007/s00339-018-2039-x ↗
8. Wang, C., Yang, D., Lu, K., et al., Numerical study of length and angle gauging for subsurface-inclined cracks based on reflected surface waves with laser ultrasonic technique, Nondestr. Test. Eval., 2024, vol. 39, no. 5, pp. 1195–1209. https://doi.org/10.1080/10589759.2023.224958010.1080/10589759.2023.2249580 ↗
9. Zeng, W., Yao, Y., Qi, S., and Liu, L., Finite element simulation of laser-generated surface acoustic wave for identification of subsurface defects, Optik, 2020, vol. 207, p. 163812. https://doi.org/10.1016/j.ijleo.2019.16381210.1016/j.ijleo.2019.163812 ↗
10. Zhang, Y., Xu, Z., Wang, T., et al., Non-contact detection of subsurface defects in metallic bars with small diameter using laser-generated Rayleigh waves: From localization to quantification, J. Manuf. Process., 2024, vol. 124, pp. 1410–1421. https://doi.org/10.1016/j.jmapro.2024.07.03610.1016/j.jmapro.2024.07.036 ↗
11. Jensen, J.A., Nikolov, S.I., Gammelmark, K.L., and Pedersen, M.H., Synthetic aperture ultrasound imaging, Ultrasonics, 2006, vol. 44, pp. e5–15. https://doi.org/10.1016/j.ultras.2006.07.01710.1016/j.ultras.2006.07.017 ↗
12. Spies, M., Rieder, H., Dillhöfer, A., Schmitz, V., and Müller, W., Synthetic aperture focusing and time-of-flight diffraction ultrasonic imaging–Past and present, J. Nondestr. Eval., 2012, vol. 31, pp. 310–323. https://doi.org/10.1007/s10921-012-0150-z10.1007/s10921-012-0150-z ↗
13. Bychkov, A., Simonova, V., Zarubin, V., Cherepetskaya, E., and Karabutov, A., The progress in photoacoustic and laser ultrasonic tomographic imaging for biomedicine and industry: A review, Appl. Sci., 2018, vol. 8, no. 10, p. 1931. https://doi.org/10.3390/app810193110.3390/app8101931 ↗
14. Qin, L., Zhang, S., Song, Y., and Li, X., 3D ultrasonic imaging based on synthetic aperture focusing technique and space-dependent threshold for detecting submillimetre flaws in strongly scattering metallic materials, NDT and E Int., 2021, vol. 124, p. 102523. https://doi.org/10.1016/j.ndteint.2021.10252310.1016/j.ndteint.2021.102523 ↗
15. Kou, X., Pei, C., Liu, T., et al., Noncontact testing and imaging of internal defects with a new laser-ultrasonic SAFT method, Appl. Acoust., 2021, vol. 178, p. 107956. https://doi.org/10.1016/j.apacoust.2021.10795610.1016/j.apacoust.2021.107956 ↗
16. Lévesque, D., Asaumi, Y., Lord, M., et al., Inspection of thick welded joints using laser-ultrasonic SAFT, Ultrasonics, 2016, vol. 69, pp. 236–242. https://doi.org/10.1016/j.ultras.2016.04.00110.1016/j.ultras.2016.04.001 ↗
17. Ying, K.-N., Ni, C.-Y., Dai, L.-N., et al., Multi-mode laser-ultrasound imaging using time-domain synthetic aperture focusing technique (T-SAFT), Photoacoustics, 2022, vol. 27, p. 100370. https://doi.org/10.1016/j.pacs.2022.10037010.1016/j.pacs.2022.100370 ↗
18. Lv, G., Yao, Z., Chen, D., et al., Fast and high-resolution laser-ultrasonic imaging for visualizing subsurface defects in additive manufacturing components, Mater. Des., 2023, vol. 225, p. 111454. https://doi.org/10.1016/j.matdes.2022.11145410.1016/j.matdes.2022.111454 ↗
19. Jiang, Y., Han, L., Wang, Z., Wang, H., and Shen, Z., Finite element simulation of laser-synthetic aperture focusing technique (SAFT) detection of additive manufactured parts, Russ. J. Nondestr. Test., 2023, vol. 59, no. 3, pp. 332–345. https://doi.org/10.1134/S106183092260104010.1134/S1061830922601040 ↗
20. Yoon, T., Kim, Y., Awais, M., and Lee, B., Acoustic velocity measurement for enhancing laser UltraSound imaging based on time domain synthetic aperture focusing technique, Sensors, 2023, vol. 23, no. 5, p. 2635. https://doi.org/10.3390/s2305263510.3390/s23052635 ↗
21. Hutchins, D.A., Dewhurst, R.J., and Palmer, S.B., Directivity patterns of laser-generated ultrasound in aluminum, J. Acoust. Soc. Am., 1981, vol. 70, no. 5, pp. 1362–1369. https://doi.org/10.1121/1.38712610.1121/1.387126 ↗
22. Lord, A.E., Geometric diffraction loss in longitudinal- and shear-wave attenuation measurements in an isotropic half-space, J. Acoust. Soc. Am., 1966, vol. 39, no. 4, pp. 650–662. https://doi.org/10.1121/1.190993810.1121/1.1909938 ↗
23. Bernstein, J.R. and Spicer, J.B., Line source representation for laser-generated ultrasound in aluminum, J. Acoust. Soc. Am., 2000, vol. 107, no. 3, pp. 1352–1357. https://doi.org/10.1121/1.42842210.1121/1.428422 ↗
24. Stratoudaki, T., Clark, M., and Wilcox, P.D., Laser induced ultrasonic phased array using full matrix capture data acquisition and total focusing method, Opt. Express, 2016, vol. 24, no. 19, pp. 21921–21938. https://doi.org/10.1364/oe.24.02192110.1364/oe.24.021921 ↗
25. Achenbach, J.D., Laser excitation of surface wave motion, J. Mech. Phys. Solids, 2003, vol. 51, pp. 1885–1902. https://doi.org/10.1016/j.jmps.2003.09.02110.1016/j.jmps.2003.09.021 ↗
26. Achenbach, J.D., The thermoelasticity of laser-based ultrasonics, J. Therm. Stresses, 2005, vol. 28, pp. 713–727. https://doi.org/10.1080/0149573059092936810.1080/01495730590929368 ↗
27. Wang, C., Zhang, F., Chen, Y., et al., Study on the interaction mechanism of laser-generated Rayleigh waves and subsurface inclined cracks, Meas. Sci. Technol., 2024, vol. 35, no. 11, p. 115207. https://doi.org/10.1088/1361-6501/ad678710.1088/1361-6501/ad6787 ↗
28. Gao, T., Wang, Y., and Qing, X., A new laser ultrasonic inspection method for the detection of multiple delamination defects, Materials, 2021, vol. 14, no. 9, p. 2424. https://doi.org/10.3390/ma1409242410.3390/ma14092424 ↗