Detecting Delaminations in Semitransparent Glass Fiber Composite by Using Pulsed Infrared Thermography

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23640%2F20%3A43959510" target="_blank" >RIV/49777513:23640/20:43959510 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/s10921-020-00717-x" target="_blank" >https://doi.org/10.1007/s10921-020-00717-x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10921-020-00717-x" target="_blank" >10.1007/s10921-020-00717-x</a>

Result language

angličtina

Original language name

Detecting Delaminations in Semitransparent Glass Fiber Composite by Using Pulsed Infrared Thermography

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20501 - Materials engineering

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

JOURNAL OF NONDESTRUCTIVE EVALUATION

ISSN

0195-9298

e-ISSN

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Volume of the periodical

39

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

10

Pages from-to

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UT code for WoS article

000568423600002

EID of the result in the Scopus database

2-s2.0-85090274359