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Authors: Lukasz Ambrozinski (AGH University of Science and Technology) , Jakub Mrowka (AGH University of Science and Technology) , Matthew O'Donnell (University of Washington) , Ivan Pelivanov (University of Washington)
Wrinkles in carbon-fiber reinforced plastics (CFRP) dramatically reduce the performance of a composite structure. Because they do not produce large echoes, detecting these defects remains challenging for conventional techniques. Recent developments in laser-ultrasound (LU) have enabled non-contact high-resolution imaging of CFRPs. Due to LU’s broad bandwidth and point-like optical detection, it is now possible to image CFRP structures with sub-ply resolution. In this paper, we show that LU can image variations in ply orientation in composites. To improve the signal to noise ratio (SNR) and track wrinkled plies, tilt-filtering (TF), a local cross-correlation based method, is proposed. It can perform coherent spatial signal averaging taking into account the shape of neighboring layers. In addition, local ply angle is a straightforward output of the proposed processing, which can be used as a direct indicator of wrinkle severity.
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How to Cite: Ambrozinski, L. . , Mrowka, J. . , O'Donnell, M. . & Pelivanov, I. . (2019) “Quantitative evaluation of local ply angle rotation in carbon fiber reinforced plastics using laser-ultrasund”, Review of Progress in Quantitative Nondestructive Evaluation.(0).