Advanced Image-Processing Techniques for Automatic Nondestructive Evaluation of Adhesively-Bonded Structures Using Speckle Interferometry

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Vydáno v:Journal of Nondestructive Evaluation vol. 16, no. 4 (Dec 1997), p. 215
Hlavní autor: Fomitchov, Pavel
Další autoři: Wang, Liu-Sheng, Krishnaswamy, Sridhar
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Springer Nature B.V.
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100 1 |a Fomitchov, Pavel  |u Northwestern University, Center for Quality Engineering and Failure Prevention, Robert R. McCormick School of Engineering and Applied Science, Evanston, (GRID:grid.16753.36) (ISNI:0000000122993507) 
245 1 |a Advanced Image-Processing Techniques for Automatic Nondestructive Evaluation of Adhesively-Bonded Structures Using Speckle Interferometry 
260 |b Springer Nature B.V.  |c Dec 1997 
513 |a Journal Article 
520 3 |a In conventional optical nondestructive evaluation (NDE) of structures using shearography or electronic speckle pattern interferometry (ESPI), results are typically provided in the form of fringe patterns or deformation contour plots. However, in order to fully automate the process of defect detection, it is desirable to obtain simpler results which are easier to interpret. We present here one such optical system based on additive–subtractive shearography/ESPI. This system processes additive–subtractive fringe patterns and provides the sizes and locations of defects such as disbonds in adhesively-bonded composite structures. This is achieved by exciting the structure under inspection using an acoustic stressing mechanism which sweeps a range of vibration frequencies of the structure. Since the defective areas of the structure have different mechanical properties from their neighboring regions, varying and complex fringe patterns are obtained at different stressing frequencies. We propose an algorithm which enables the automatic identification and selection of relevant additive–subtractive fringe patterns that pertain only to localized deformations associated with defects, and which excludes images that pertain to any overall modes of the entire structure. The algorithm also includes a pixel-by-pixel adjustable thresholding scheme which compensates for intensity variations due to nonuniform reflectivity from unpainted and dirty test objects. Morphological processing is then performed to extract the shapes of the defect from the processed fringe clusters. Various structures, from simple aluminum specimens with simulated defects to a complex honeycomb-based aviation repair patch specimen, have been successfully evaluated using this system. 
653 |a Pixels 
653 |a Nondestructive testing 
653 |a Interferometry 
653 |a Speckle patterns 
653 |a Deformation 
653 |a Mechanical properties 
653 |a Shearography 
653 |a Speckle interferometry 
653 |a Algorithms 
653 |a Composite structures 
653 |a Diffraction patterns 
653 |a Image processing 
653 |a Defects 
653 |a Adhesive bonding 
653 |a Electronic speckle pattern interferometry 
700 1 |a Wang, Liu-Sheng  |u Northwestern University, Center for Quality Engineering and Failure Prevention, Robert R. McCormick School of Engineering and Applied Science, Evanston, (GRID:grid.16753.36) (ISNI:0000000122993507) 
700 1 |a Krishnaswamy, Sridhar  |u Northwestern University, Center for Quality Engineering and Failure Prevention, Robert R. McCormick School of Engineering and Applied Science, Evanston, (GRID:grid.16753.36) (ISNI:0000000122993507) 
773 0 |t Journal of Nondestructive Evaluation  |g vol. 16, no. 4 (Dec 1997), p. 215 
786 0 |d ProQuest  |t Materials Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3266498130/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3266498130/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch