Title:	Detecting Delaminations in Semitransparent Glass Fiber Composite by Using Pulsed Infrared Thermography
Authors:	Moskovchenko, Alexey Vavilov, V. P. Bernegger, Raphael Maierhofer, Christiane Chulkov, Arsenii O.
Citation:	MOSKOVCHENKO, A., VAVILOV, V. P., BERNEGGER, R., MAIERHOFER, C. H., CHULKOV, A. O. Detecting Delaminations in Semitransparent Glass Fiber Composite by Using Pulsed Infrared Thermography. Journal of nondestructive evaluation, 2020, roč. 39, č. 3. ISSN 0195-9298.
Issue Date:	2020
Publisher:	Springer
Document type:	článek article
URI:	2-s2.0-85090274359 http://hdl.handle.net/11025/41926
ISSN:	0195-9298
Keywords in different language:	Infrared thermography;Thermal testing;GFRP;Semi-transparent composite;Laser heating
Abstract in different language:	Thanks to its good strength/mass ratio, a glass fibre reinforced plastic (GFRP) composite is a common material widely used in aviation, power production, automotive and other industries. In its turn, active infrared (IR) nondestructive testing (NDT) is a common inspection technique for detecting and characterizing structural defects in GFRP. Materials to be tested are typically subjected to optical heating which is supposed to occur on the material surface. However, GFRP composite is semitransparent for optical radiation of both visual and IR spectral bands. Correspondingly, the inspection process represents a certain combination of both optical and thermal phenomena. Therefore, the known characterization algorithms based on pure heat diffusion cannot be applied to semi-transparent materials. In this study, the phenomenon of GFRP semi-transparency has been investigated numerically and experimentally in application to thermal NDT. Both Xenon flash tubes and a laser have been used for thermal stimulation of opaque and semi-transparent test objects. It has been shown that the penetration of optical heating radiation into composite reduces detectability of shallower defects, and the signal-to-noise ratio can be enhanced by applying the technique of thermographic signal reconstruction (TSR). In the inspection of the semi-transparent GFRP composite, the most efficient has been the laser heating followed by the TSR data processing. The perspectives of defect characterization of semi-transparent materials by using laser heating are discussed. A neural network has been used as a candidate tool for evaluating defect depth in composite materials, but its training should be performed in identical with testing conditions.
Rights:	Plný text není přístupný. © Springer
Appears in Collections:	Články / Articles (CT3) OBD

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