Inverse methodology for identification the thermal diffusivity and subsurface defect of CFRP composite by lock-in thermographic phase (LITP) profile reconstruction

2016 ◽  
Vol 138 ◽  
pp. 214-226 ◽  
Author(s):  
Liu Junyan ◽  
Wang Fei ◽  
Liu Yang ◽  
Wang Yang
2019 ◽  
Vol 91 (13) ◽  
pp. 8476-8483 ◽  
Author(s):  
Alexandra Philipp ◽  
Nelson W. Pech-May ◽  
Bernd A. F. Kopera ◽  
Anna M. Lechner ◽  
Sabine Rosenfeldt ◽  
...  

2017 ◽  
Vol 14 (2) ◽  
pp. 218-225 ◽  
Author(s):  
P. W. Nolte ◽  
T. Malvisalo ◽  
F. Wagner ◽  
S. Schweizer
Keyword(s):  

2011 ◽  
Vol 301-303 ◽  
pp. 635-640
Author(s):  
Jun Yan Liu ◽  
Qing Ju Tang ◽  
Yang Wang

This paper describes the quantitative analysis of the shape, boundary, and depth of subsurface defects by ultrasound lock-in thermography. The phase difference between defective areas and non-defective areas illustrates the qualitative analysis of the shape and the boundary of the subsurface defect. In order to accurately estimate the shape, boundary and depth of the defects, the optimal threshold value method is proposed to identify the shape and boundary of the subsurface defects based on the canny operator of image processing. A self–adaption artificial neural network (ANN) with Takagi-Sugeno modeling is proposed to determine the depth of the subsurface defect. Experimental results for a steel plate with artificial subsurface defects show good agreement with actual values.


2000 ◽  
Author(s):  
P.G. Bison ◽  
S. Marinetti ◽  
E. Grinzato
Keyword(s):  

2009 ◽  
Vol 95 (12) ◽  
pp. 121905 ◽  
Author(s):  
Agustín Salazar ◽  
Arantza Mendioroz ◽  
Raquel Fuente

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