scholarly journals Simulation and Experimental Study of Closed Crack Detection by Ultrasonic Nonlinearity Under Electromagnetic Loading

2020 ◽  
Author(s):  
Chuang Zhang ◽  
Longlong He ◽  
Suzhen Liu ◽  
Qingxin Yang
Keyword(s):  
Crack Detection ◽  
Response Signal ◽  
Closed Crack ◽  
Ultrasonic Detection ◽  
External Interference ◽  
Weak Response ◽  
Nonlinear Ultrasonic ◽  
Testing Technology ◽  
Frequency Components ◽  
Metal Materials

The reliability of micro-damage detection of metal materials plays a crucial role in the safe and reliable operation of large equipment. In recent years, nonlinear ultrasonic nondestructive testing technology has achieved good development in closed cracks detection, but the problem of nonlinear ultrasonic detection of closed cracks is weak response signal and vulnerable to external interference. This paper realizes the modulation of the ultrasonic wave by electromagnetic loading at the closed cracks, which can effectively enrich the frequency components of nonlinear ultrasonic and magnify the amplitude. This lays a foundation for further research on nonlinear ultrasonic detection of closed cracks under electromagnetic loading.

scholarly journals Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

Metals ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 612 ◽  
Author(s):  
Jue Hu ◽  
Weiping Xu ◽  
Bin Gao ◽  
Gui Tian ◽  
Yizhe Wang ◽  
...  
Keyword(s):  
Crack Detection ◽  
Pattern Mining ◽  
Learning Method ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
Pulsed Thermography ◽  
Testing Technology ◽  
Deep Region ◽  
Detection And Localization ◽  
Non Destructive

Eddy Current Pulsed Thermography is a crucial non-destructive testing technology which has a rapidly increasing range of applications for crack detection on metals. Although the unsupervised learning method has been widely adopted in thermal sequences processing, the research on supervised learning in crack detection remains unexplored. In this paper, we propose an end-to-end pattern, deep region learning structure to achieve precise crack detection and localization. The proposed structure integrates both time and spatial pattern mining for crack information with a deep region convolution neural network. Experiments on both artificial and natural cracks have shown attractive performance and verified the efficacy of the proposed structure.

Research on Nonlinear Ultrasonic Testing Technology of Microcracks in Metallic Materials

2021 ◽  
Author(s):  
Qinxue Pan ◽  
Shuangyang Li ◽  
Lang Xu ◽  
Yunmiao Zhang ◽  
Meile Chang ◽  
...  
Keyword(s):  
Ultrasonic Testing ◽  
Metallic Materials ◽  
Nonlinear Ultrasonic ◽  
Testing Technology

A new vibro-acoustic modulation technique for closed crack detection based on electromagnetic loading

2020 ◽  
Vol 157 ◽  
pp. 107004 ◽  
Author(s):  
Chuang Zhang ◽  
Longlong He ◽  
Suzhen Liu ◽  
Qingxin Yang
Keyword(s):  
Crack Detection ◽  
Closed Crack ◽  
Modulation Technique ◽  
Acoustic Modulation

scholarly journals Multi-mode nonlinear ultrasonic phased array for closed crack imaging

2018 ◽  
Author(s):  
Yoshikazu Ohara ◽  
Jack Potter ◽  
Sylvain Haupert ◽  
Hiromichi Nakajima ◽  
Toshihiro Tsuji ◽  
...  
Keyword(s):  
Phased Array ◽  
Closed Crack ◽  
Nonlinear Ultrasonic ◽  
Ultrasonic Phased Array ◽  
Multi Mode
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