Laser ultrasonic measurement of surface defects based on ratio method

2006 ◽  
Author(s):  
Gang Li ◽  
Hedong Yu ◽  
Guoping Zhang
2021 ◽  
pp. 2150263
Author(s):  
Zixi Liu ◽  
Zhengliang Hu ◽  
Longxiang Wang ◽  
Tianshi Zhou ◽  
Jintao Chen ◽  
...  

The time–frequency analysis by smooth Pseudo-Wigner-Ville distribution (SPWVD) is utilized for the double-line laser ultrasonic signal processing, and the effective detection of the metal surface defect is achieved. The double-line source laser is adopted for achieving more defects information. The simulation model by using finite element method is established in a steel plate with three typical metal surface defects (i.e. crack, air hole and surface scratch) in detail. Besides, in order to improve the time resolution and frequency resolution of the signal, the SPWVD method is mainly used. In addition, the deep learning defect classification model based on VGG convolutional neural network (CNN) is set up, also, the data enhancement method is adopted to extend training data and improve the defects detection properties. The results show that, for different types of metal surface defects with sub-millimeter size, the classification accuracy of crack, air holes and scratch surface are 94.6%, 94% and 94.6%, respectively. The SPWVD and CNN algorithm for processing the laser ultrasonic signal and defects classification supplies a useful way to get the defect information, which is helpful for the ultrasonic signal processing and material evaluation.


2021 ◽  
Vol 42 (1) ◽  
pp. 149-156
Author(s):  
XU Zhixiang ◽  
◽  
◽  
GUAN Shouyan ◽  
YANG Fan ◽  
...  

2008 ◽  
Vol 123 (5) ◽  
pp. 3287-3287
Author(s):  
Aleksei Podolsky ◽  
Vladimir Koshkin ◽  
Viktor Bel'Ko ◽  
Andrei Fetisov ◽  
Alexander Karabutov

Ultrasonics ◽  
2017 ◽  
Vol 73 ◽  
pp. 271-276 ◽  
Author(s):  
Yu Zhan ◽  
Changsheng Liu ◽  
Xiangwei Kong ◽  
Zhongya Lin

2020 ◽  
Vol 167 ◽  
pp. 110465
Author(s):  
Mahsa Keyvani ◽  
Thomas Garcin ◽  
Matthias Militzer ◽  
Damien Fabregue

Sign in / Sign up

Export Citation Format

Share Document