Laser-induced ultrasonic measurements for the detection and reconstruction of surface defects

From National Research Council Canada

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DOI	Resolve DOI: https://doi.org/10.1051/aacus/2021031
Author	Search for: Qian, Feiming; Search for: Xing, Guangzhen; Search for: Yang, Ping; Search for: Hu, Pengcheng; Search for: Zou, Limin; Search for: Koukoulas, Triantafillos¹
Affiliation	National Research Council Canada. Metrology Research Centre
Funder	Search for: Key Technologies Research and Development Program; Search for: National Natural Science Foundation of China; Search for: China Postdoctoral Science Foundation; Search for: China Postdoctoral Science Foundation; Search for: Natural Science Foundation of Heilongjiang Province of China
Format	Text, Article
Physical description	7 p.
Subject	laser-induced ultrasound; surface defects detection; full matrix capture; total focusing method
Abstract	Laser-induced ultrasonic measurement is a non-contact non-destructive technology that can be employed for the testing and assessment of surface defects. In order to improve the correct identification of defects, the full matrix capture (FMC) and total focusing method (TFM) are applied on the imaging process. FMC data includes A-scans resulting from the combination of all measurement axes defined by the sequential generation and detection of utilized laser beams in the system. In this paper, an aluminium block with four holes whose diameters range from 1 mm to 2.5 mm is assessed through B-scans, the synthetic aperture focusing technique (SAFT) and FMC/TFM. The results demonstrate that the FMC/TFM technology can significantly improve the imaging quality and signal-to-noise ratio (SNR). In addition, this method has higher lateral resolution and larger imaging range compared with traditional B-scans.
Publication date	2021-08-31
Publisher	EDP Open European Acoustics Association
Licence	Creative Commons, Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
In	Acta Acustica 5, 38 (31 August 2021).
Language	English
Peer reviewed	Yes
Identifier	aacus210059
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Record identifier	a9fb681d-f4b2-4949-b3bc-5e4d46b00b57
Record created	2022-10-24
Record modified	2022-10-24

Date modified:: 2025-12-14