Detection of edge debonding in composite patch using novel post processing method of thermography

被引:15
|
作者
Moradi, Morteza [1 ]
Safizadeh, Mir Saeed [1 ]
机构
[1] Iran Univ Sci & Technol, Sch Mech Engn, Tehran, Iran
关键词
Infrared thermography; Image processing; Wavelet; Composite patch; Data fusion; CURRENT PULSED THERMOGRAPHY; WAVELET TRANSFORM; DAMAGE DETECTION; IDENTIFICATION; DEFECT; ENHANCEMENT; PLATE; PREDICTION; SELECTION; MODEL;
D O I
10.1016/j.ndteint.2019.102153
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In the present work, the step heating thermography technique has been used to detect disbond defects at the edge of the adhered carbon/epoxy patch on the aluminum plate. The four common post-processing algorithms including principle component analysis (PCA), thermal signal reconstruction (TSR), Fourier transform (FT), and one-dimensional wavelet transform (1D WT) have been applied to the infrared thermal images obtained from the composite patch thermography inspection. A novel post processing method based on the area under temperature-time curve (Thermal Signal Area: TSA) has been proposed for the infrared thermal image analysis. The proposed post-processing method is fast and non-sensitive to noise. A comparison of the new proposed method with the four common post-processing methods has been carried out on disbond detection in a composite patch in a quantitative and qualitative manner. Furthermore, a data fusion of the proposed method with the 1D wavelets transform has been applied to disbond defect characterization which improves the accuracy by decreasing noise level.
引用
收藏
页数:18
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