Improved depth characterization of internal defect using the fusion of shearography and speckle interferometry

被引:0
作者
Gu G. [1 ]
Pan Y. [2 ]
Qiu C. [1 ]
Zhu C. [1 ,3 ]
机构
[1] School of Civil Engineering, Yancheng Institute of Technology, Yancheng
[2] College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
[3] Institute of Building Materials, Vilnius Gediminas Technical University, Vilnius
基金
中国国家自然科学基金;
关键词
Defect depth characterization; Digital speckle pattern interferometry; Dual-sensitive speckle interferometry; Nondestructive testing; Shearography;
D O I
10.1016/j.optlastec.2020.106701
中图分类号
学科分类号
摘要
A hybrid nondestructive testing (NDT) approach based on the fusion of shearography and digital speckle pattern interferometry (DSPI) is proposed for depth characterization of internal defect. To this end, a novel dual-sensitive speckle interferometry system is developed for both shearography and DSPI measurements. On one hand, shearography imaging results are used to identify the internal defect location, shape, and boundary qualitatively for the preparation of subsequent depth characterization. On the other hand, an improved mechanical model combined with bending theory and DSPI imaging results is built to perform the internal defect depth prediction. Finally, the hybrid NDT experiment for a thin metallic plate with an internal planar defect is conducted for feasibility validation of the proposed fusion method. The results indicate that the relative error of defect depth detection is less than 5% compared to the existing method and show that the proposed fusion method can successfully perform improved depth characterization of internal defect. © 2020 Elsevier Ltd
引用
收藏
相关论文
共 28 条
[1]  
Wang M.L., Gao B., Wu T.L., Hu B.Z., Liu L., Defect depth retrieval method based on nonlinear transformation for pulsed thermographic inspection, Int. J. Therm. Sci., 149, (2020)
[2]  
Perkowski Z., Tatara K., The use of dijkstra's algorithm in assessing the correctness of imaging brittle damage in concrete beams by means of ultrasonic transmission tomography, Materials., 13, (2020)
[3]  
Nafiah F., Sophian A., Kahn M.R., Abidin I.M.Z., Quantitative evaluation of crack depths and angles for pulsed eddy current non-destructive testing, NDT. E. Int., 102, pp. 180-188, (2019)
[4]  
Hamade R.F., Baydoun A.M.R., Nondestructive detection of defects in friction stir welded lap joints using computed tomography, Mater. Des., 162, pp. 10-23, (2019)
[5]  
Qiu Z., Naoki M., Tsuyoshi F., Evaluation of large plastic deformation for metals by a non-contacting technique using digital image correlation with laser speckles, Mater. Des., 191, (2020)
[6]  
Liu H.J., Guo S.F., Chen Y.F., Tan C.Y., Zhang L., Acoustic shearography for crack detection in metallic plates, Smart Mater. Struct., 27, (2018)
[7]  
Hung Y.Y., Ho H.P., Shearography: an optical measurement technique and applications, Mater. Sci. Eng., R49, pp. 61-87, (2005)
[8]  
Yang L.X., Xie X., Digital shearography: new developments and applications, (2016)
[9]  
Michel F., Renotte Y.L., Habraken S., Measurement of the defect size by shearography or other interferometric techniques, Opt. Eng., 51, 3, (2012)
[10]  
Allevi G., Pandarese G., Revel G.M., Improvement of defect size and morphological estimation in shearography inspection by wavelet transform, Rev. Sci. Instrum., 90, (2019)