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On orthogonal functions for the detection and characterization of defects in infrared nondestructive testing of composite materials

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Título: On orthogonal functions for the detection and characterization of defects in infrared nondestructive testing of composite materials
Autor: Álvarez Restrepo, Carlos Andrés
Fecha: 2016-07-28
URI: http://hdl.handle.net/11522/7893
Resumen: Several quantitative and qualitative methods have been reported in pulsed thermography to analyze and detect defects in materials. Such techniques seek to characterize and predict their depth, size, and thermal properties. Nevertheless, most of the methods need an empirical definition of sound area and are based on a pixel-by-pixel time domain analysis that ignores spatial correlation. In this work, using a technique of decomposition of images in a 2D orthogonal space, we proposed a method to evaluate defects in composite materials and to remove thermal diffusion non-uniformities. We compare two representative time-resolved methods such as TSR and NTC with the new approach by analyzing and inspecting three samples of anisotropic materials with Teflon subsurface insertions. The proposed technique removes the background noise (non-uniform thermal distribution) and enhances the SNR of the defects faster than other techniques. Our method estimates defect’s depths as well up to 1.2 mm in CFRP and GFRP specimens without defining a sound area. An algorithm is also designed to generate automatically an image that estimates the position and depths of the defects. An implementation with a graphical user interface (GUI) of the proposed method in Matlab is available at https://github.com/charlielito/2DOrthogonal_Polynomial_Decomposition
Tipo: Trabajo de Grado
Citación: Álvarez Restrepo, C. A. (2016, julio 28). On orthogonal functions for the detection and characterization of defects in infrared nondestructive testing of composite materials. Pontificia Universidad Javeriana Cali, Cali. Tomado de (http://hdl.handle.net/11522/7893).


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