Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gaolong Lv"'
Publikováno v:
Materials & Design, Vol 238, Iss , Pp 112635- (2024)
Laser ultrasonics is a promising non-contact inspection technique but faces challenges of low signal-to-noise and low amplitude under non-destructive thermoelastic regime. In this paper, a laser ultrasonic surface acoustic wave (SAW) modulation metho
Externí odkaz:
https://doaj.org/article/f7d75cb271274b89834f933dac3f5a3c
Publikováno v:
Materials & Design, Vol 225, Iss , Pp 111454- (2023)
Additive manufacturing (AM) is an emerging technique for efficient fabrication of individually tailored and complex geometry parts. The fabrication process is prone to induce various defects that can have detrimental effects on the AM components. The
Externí odkaz:
https://doaj.org/article/07bb2e602d95424db2e6f8c733b800de
Publikováno v:
Complexity, Vol 2021 (2021)
Porosity is considered as one of the most important indicators for the characterization of the comprehensive performance of thermal barrier coatings (TBCs). In this study, the ultrasonic technique and the artificial neural network optimized with the
Externí odkaz:
https://doaj.org/article/de253953e566470190465f282e9d3a43
Publikováno v:
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 68:3216-3225
The conventional machine learning algorithm for analyzing ultrasonic signals to detect structural defects necessarily identifies and extracts either time- or frequency-domain features manually, which has problems in reliability and effectiveness. Thi
Publikováno v:
NDT & E International. 133:102752
Publikováno v:
Complexity, Vol 2021 (2021)
Porosity is considered as one of the most important indicators for the characterization of the comprehensive performance of thermal barrier coatings (TBCs). In this study, the ultrasonic technique and the artificial neural network optimized with the
Autor:
Wei Feng, Shifeng Guo, Chen Dan, Qing Hu, Yan Jun Liu, Zhang Shuxiao, Gaolong Lv, Yuanhao Wang
Publikováno v:
Applied Acoustics. 177:107928
A laser ultrasonic based non-contact detection method combined with support vector regression (SVR) was proposed for the first time for in-situ predicting the volume fraction of α-phase in titanium alloy (Ti-10V-2Fe-3Al). The alloy specimens were he
Publikováno v:
NDT & E International. 116:102339
An effective nondestructive evaluation technique that enables the detection and quantification of subsurface defects is highly demanded for assuring safety and reliability of safety-critical structures. In this work, an improved genetic algorithm-bac
Autor:
Chen Dan, Gaolong Lv, Zhongqing Su, Wei Feng, Zuo Rui, Shifeng Guo, Kaixing Zhang, Yan Jun Liu
Publikováno v:
Optics & Laser Technology. 131:106410
An unreported phenomenon of phase evolution of Rayleigh ultrasonic waves with subsurface defects is observed and systematically explored for detection of subsurface defects using non-contact line laser ultrasonic technique and numerical simulation. T