nonlinear ultrasound
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2022 ◽  
Vol 168 ◽  
pp. 108713
Author(s):  
Gian Piero Malfense Fierro ◽  
Michele Meo


2022 ◽  
pp. 110402
Author(s):  
Guoliang Zhao ◽  
Suzhen Liu ◽  
Chuang Zhang ◽  
Liang Jin ◽  
Qingxin Yang


2021 ◽  
Vol 150 (4) ◽  
pp. A306-A306
Author(s):  
Aurelio Bellotti ◽  
Jin Yeon Kim ◽  
Joseph Bishop ◽  
Bradley Jared ◽  
Kyle Johnson ◽  
...  


Author(s):  
Jianfeng Liu ◽  
Kui Wang ◽  
Mingjie Zhao ◽  
Zhichao Nie




Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5368
Author(s):  
Frank Mevissen ◽  
Michele Meo

Nonlinear ultrasound crack detection methods are used as modern, non-destructive testing tools for inspecting early damages in various materials. Nonlinear ultrasonic wave modulation, where typically two or more frequencies are excited, was demonstrated to be a robust method for failure indicators when using measured harmonics and modulated response frequencies. The aim of this study is to address the capability of multi-frequency wave excitation, where more than two excitation frequencies are used, for better damage identification when compared to single and double excitation frequencies without the calculation of dispersion curves. The excitation frequencies were chosen in such a way that harmonic and modulated response frequencies meet at a specific frequency to amplify signal energy. A new concept of nonlinearity parameter grouping with multi-frequency excitation was developed as an early failure parameter. An analytical solution of the one-dimensional wave equation was derived with four fundamental frequencies, and a total of 64 individual and 30 group nonlinearity parameters. Experimental validation of the approach was conducted on metal plates with different types of cracks and on turbine blades where cracks originated under service conditions. The results showed that the use of multi-frequency excitation offers advantages in detecting cracks.



2021 ◽  
pp. 102510
Author(s):  
Tuomas Koskinen ◽  
Juha Kuutti ◽  
Iikka Virkkunen ◽  
Jari Rinta-aho




2021 ◽  
Author(s):  
Duwei Liu ◽  
Boyi Li ◽  
Dongsheng Bi ◽  
Tho N. H. T Tran ◽  
Yifang Li ◽  
...  


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