Please use this identifier to cite or link to this item:
Title: Remote characterization of surface slots by enhanced laser-generated ultrasonic Rayleigh waves
Authors: Xiao, Jing
Chen, Jian
Yu, Xudong
Lisevych, Danylo
Fan, Zheng
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: 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-.
Journal: Ultrasonics
Abstract: 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.
ISSN: 0041-624X
DOI: 10.1016/j.ultras.2021.106595
Schools: School of Mechanical and Aerospace Engineering 
Organisations: Institute of High Performance Computing, A*STAR
Rights: © 2021 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

Citations 50

Updated on Sep 30, 2023

Web of ScienceTM
Citations 50

Updated on Sep 30, 2023

Page view(s)

Updated on Oct 3, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.