2019
DOI: 10.1088/2631-6331/ab260a
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Nondestructive detection of incipient thermal damage in glass fiber reinforced epoxy composite using the ultrasonic propagation imaging

Abstract: Incipient thermal damage (ITD) in polymer-matrix composites could cause substantial loss of material properties and it is notoriously difficult to be detected using nondestructive evaluation (NDE) techniques. The emerging ultrasonic propagation imaging (UPI) could be the solution for the detection problem and its detection probability for ITD was studied in this work. Glass fiber reinforced epoxy plate specimens insulted at temperatures ranging between 1.1 and 1.7 times of the glass transition temperature (Tg)… Show more

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Cited by 6 publications
(2 citation statements)
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“…LUT is a non-destructive inspection method that generally uses lasers to generate and detect ultrasound waves [20]. However, the laser is often combined with other transducers, such as piezoelectric transducers, according to the system configuration [21,22]. To inspect the two 3D-printed CFRP specimens and investigate their manufacturing defects, the through-transmission mode of LUT was implemented.…”
Section: Laser Ultrasonic Testing (Lut)mentioning
confidence: 99%
“…LUT is a non-destructive inspection method that generally uses lasers to generate and detect ultrasound waves [20]. However, the laser is often combined with other transducers, such as piezoelectric transducers, according to the system configuration [21,22]. To inspect the two 3D-printed CFRP specimens and investigate their manufacturing defects, the through-transmission mode of LUT was implemented.…”
Section: Laser Ultrasonic Testing (Lut)mentioning
confidence: 99%
“…Therefore, it is essential to consider and analyze failure modes (e.g., matrix cracking, interfacial failure, and fiber fracture), considering the fiber structure in the design of FRP materials [5][6][7][8]. A proper non-destructive test is required in order to monitor the damage that occurs during FRP testing and relate it to failure modes [9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%