Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves
Characterization of surface features is essential in many industrial applications, especially for features with large depths, high aspect ratios or under extreme conditions. This work presents a non-contact method to characterize surface slots with large lengths using ultrasonic Rayleigh waves gener...
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sg-ntu-dr.10356-1597662022-07-01T07:19:48Z Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves Xiao, Jing Chen, Jian Yu, Xudong Lisevych, Danylo Fan, Zheng School of Mechanical and Aerospace Engineering Institute of High Performance Computing, A*STAR Engineering::Mechanical engineering Surface Slot Laser Ultrasound Characterization of surface features is essential in many industrial applications, especially for features with large depths, high aspect ratios or under extreme conditions. This work presents a non-contact method to characterize surface slots with large lengths using ultrasonic Rayleigh waves generated by a pulsed laser. A delay-and-sum superposition technique is applied to enhance the signal to noise ratio of transmitted Rayleigh waves. The length of the slot can be calculated from the time-of-flight information of Rayleigh waves without any prior knowledge of its orientation, width or aspect ratio. Both numerical simulations and experiments are conducted to demonstrate the proposed method, showing excellent performance. Furthermore, mode conversion has been studied to understand its impact on the reconstruction accuracy. Given the non-contact feature of the laser ultrasonic technique, the proposed method provides a simple and feasible avenue for the rapid characterisation of normal and angled surface features with high aspect ratio in extreme environments. Nanyang Technological University National Research Foundation (NRF) This research work was conducted in the SMRT-NTU Smart Urban Rail Corporate Laboratory with funding support from the National Research Foundation (NRF), SMRT and Nanyang Technological University. 2022-07-01T07:19:48Z 2022-07-01T07:19:48Z 2022 Journal Article Xiao, J., Chen, J., Yu, X., Lisevych, D. & Fan, Z. (2022). Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves. Ultrasonics, 119, 106595-. https://dx.doi.org/10.1016/j.ultras.2021.106595 0041-624X https://hdl.handle.net/10356/159766 10.1016/j.ultras.2021.106595 34638003 2-s2.0-85116887663 119 106595 en Ultrasonics © 2021 Elsevier B.V. All rights reserved. |
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Engineering::Mechanical engineering Surface Slot Laser Ultrasound Xiao, Jing Chen, Jian Yu, Xudong Lisevych, Danylo Fan, Zheng Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves |
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Characterization of surface features is essential in many industrial applications, especially for features with large depths, high aspect ratios or under extreme conditions. This work presents a non-contact method to characterize surface slots with large lengths using ultrasonic Rayleigh waves generated by a pulsed laser. A delay-and-sum superposition technique is applied to enhance the signal to noise ratio of transmitted Rayleigh waves. The length of the slot can be calculated from the time-of-flight information of Rayleigh waves without any prior knowledge of its orientation, width or aspect ratio. Both numerical simulations and experiments are conducted to demonstrate the proposed method, showing excellent performance. Furthermore, mode conversion has been studied to understand its impact on the reconstruction accuracy. Given the non-contact feature of the laser ultrasonic technique, the proposed method provides a simple and feasible avenue for the rapid characterisation of normal and angled surface features with high aspect ratio in extreme environments. |
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School of Mechanical and Aerospace Engineering |
author_facet |
School of Mechanical and Aerospace Engineering Xiao, Jing Chen, Jian Yu, Xudong Lisevych, Danylo Fan, Zheng |
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Article |
author |
Xiao, Jing Chen, Jian Yu, Xudong Lisevych, Danylo Fan, Zheng |
author_sort |
Xiao, Jing |
title |
Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves |
title_short |
Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves |
title_full |
Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves |
title_fullStr |
Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves |
title_full_unstemmed |
Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves |
title_sort |
remote characterization of surface slots by enhanced laser-generated ultrasonic rayleigh waves |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/159766 |
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1738844927065849856 |