Application of acoustic emission method for investigation of hydrogen embrittlement mechanism in the low-carbon steel

2015 ◽  
Vol 645 ◽  
pp. S460-S463 ◽  
Author(s):  
E. Merson ◽  
A. Vinogradov ◽  
D.L. Merson
2018 ◽  
Vol 712 ◽  
pp. 630-636 ◽  
Author(s):  
Jilan Yang ◽  
Yisi Song ◽  
Yufei Lu ◽  
Jianfeng Gu ◽  
Zhenghong Guo

2013 ◽  
Vol 373-375 ◽  
pp. 677-680
Author(s):  
Wei Li ◽  
Yu Li Gong ◽  
Yang Yu

Based on the characteristics of the acoustic emission (AE) signals from low carbon steel pitting corrosion, a new extraction method was proposed with wavelet transformation and independent component analysis. The experiment result shows that the new method can overcome the influence induced by the uncertainty of the independent source of low carbon steel pitting corrosion and good extraction result can be achieved.


2020 ◽  
Vol 189 ◽  
pp. 67-71
Author(s):  
Juan Shang ◽  
Weifeng Chen ◽  
Jinyang Zheng ◽  
Zhengli Hua ◽  
Lin Zhang ◽  
...  

2013 ◽  
Vol 419 ◽  
pp. 321-327
Author(s):  
Yun Tao Lu ◽  
Zong Bai Deng ◽  
Ya Yuan ◽  
Qing Xu ◽  
Can Zhang

Analysis of metallic materials damage signal is effective for studying strength failure.Domestic and foreignscholars do much workbased on acoustic emission due to its real-time detection. Most researches are in ultrasonic region, few in audible domain. In this paper, taking low-carbon steel and cast iron as an example, we collected acoustic emission signals during tensile tests. Thenestablishassociated diagrams of processed signals, with multivariable parameter analysis used for eigenvalue processing. After normalizing data,wefigured out ranges of synthetic parameters. The experiment and calculation results show that eigenvalue of every low-carbon steel in one certain event is greater than cast iron’s. As a result,synthetic parameters canmake significant effect in detecting and identifying different metal materials


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