Detecting low-energy impact damages in carbon-carbon composites by ultrasonic infrared thermography

Umar, M. Z.; Вавилов, В. П.; Abdullah, Huda; Ariffin, Ahmad Kamal

doi:10.1134/s1061830917070099

Cited by 13 publications

(4 citation statements)

References 14 publications

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“…The imaging defects are segmented, and the geometric distortion of the defects during the camera imaging process is also compensated (see Figure 19(d)). Umar et al [109] studied the defect detection of composite materials by ultrasonic infrared imaging technology and successfully detected the damage defects of carbon fiber composite materials. This technology not only improves the efficiency of defect detection but also reduces the detection cost.…”

Section: Ultrasonic-assisted Detection Methodsmentioning

confidence: 99%

Ultrasonic Testing of Carbon Fiber-Reinforced Polymer Composites

Wang

Kang

et al. 2022

Journal of Sensors

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Composite materials have been extensively used in different fields due to their excellent properties, among which carbon fiber-reinforced polymer (CFRP) is the representative. Especially in high-precision fields, such as aerospace, CFRP has become the main structural material for some core components instead of metal. The particularity of such materials and their components in terms of structure, material properties, and required detection conditions puts forward more stringent and targeted detection requirements for detection technology. Ultrasonic testing technology as one of the important means of composite defect detection, which is derived from advanced nondestructive testing (NDT), has also been a rapid development. The propagation behavior and variation of ultrasonic waves in CFRP composites can reveal defects and damages in CFRP composites. Moreover, by constructing reasonable defect identification technology and detection technology, not only the qualitative and quantitative positioning analysis of defects and damages in CFRP composites can be realized but also the automatic, visual and intelligent NDT, and evaluation of CFRP composites can be realized. This paper mainly reviews the innovative nondestructive ultrasonic testing technology for CFRP composites and briefly introduces the research progress and application of this technology in CFRP defect detection. Finally, advanced nondestructive ultrasonic testing technology is summarized, and the problems and development direction of this kind of testing technology are put forward.

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Section: Ultrasonic-assisted Detection Methodsmentioning

confidence: 99%

Ultrasonic Testing of Carbon Fiber-Reinforced Polymer Composites

Wang

Kang

et al. 2022

Journal of Sensors

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“…Коэффициент Танимото представляет собой меру сходства, которая способна измерить степень подобия двух множеств. Существует несколько вариаций расчета коэффициента Танимото, в основе которых заложен принцип, построенный на отношении пересечения множеств к их объединению, который определяется по формуле [9]:…”

Section: решение задачи обнаружения объектов по их теплофизическим св...unclassified

Application of Artificial Intelligence in Remote Monitoring Data Processing Tasks

Gromov,

Ishchuk,

Rodionov

2023

Proceedings of the 33rd International Conference on Computer Graphics and Vision

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This article presents a method for classifying multi-time multispectral images of the Earth's surface using the convolutional deep learning neural network U-net. Images of visible and infrared wavelengths were obtained using a multispectral optoelectronic system of an unmanned aerial vehicle and were used to construct orthophotoplanes of the terrain. Based on the data obtained, a neural network was trained to solve the problems of detecting man-made objects. The method of intelligent recognition of remote monitoring objects, based on deep learning and assessments of thermophysical parameters, allows you to create a phono-target environment using a genetic algorithm. This algorithm solves the coefficient inverse problem of thermal conductivity and provides estimates of the thermophysical parameters of materials. To train the model, 18 classes of objects were introduced, which were studied based on the difference in thermal contrast between man-made objects and the background (anthropogenic or natural landscape). The survey of the earth's surface was carried out 6 times during the day with an interval of 4 hours. The experiment was conducted in the summer of 2021, on specific dates of August 4-5. In the tasks of detecting and classifying man-made objects, it was found that the model demonstrates applicability with varying reliability. The conducted research shows that during the operation of the model, the desired classes of objects were discovered.

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“…High power ultrasonic horns and transducers are often used in classical vibrothermography in order to properly activate the defects and to increase the vibrational heating to a detectable level [3,4]. The required high power imposes practical difficulties (i.e.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

In-plane local defect resonances for efficient vibrothermography of impacted carbon fiber-reinforced polymers (CFRP)

Segers

Hedayatrasa

Verboven

et al. 2019

NDT & E International

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It is well known that the efficiency of the vibrothermographic non-destructive testing (NDT) technique can be enhanced by taking advantage of local defect resonance (LDR) frequencies. Recently, the classical out-of-plane local defect resonance was extended towards in-plane LDR for enhanced efficiency of vibrometric NDT. This paper further couples the concept of this in-plane LDR to vibrothermography, on the basis of the promising potential of in-plane LDRs to enhance the rubbing (tangential) interaction and viscoelastic damping of defects. Carbon fiber-reinforced composites (CFRPs) with barely visible impact damage (BVID) are inspected and the significant contribution of in-plane LDRs in vibrational heating is demonstrated. Moreover, it is shown that the defect thermal contrast induced by in-plane LDRs is so high that it allows for easy detection of BVID by live monitoring of infrared thermal images during a single broadband sweep excitation. Thermal and vibrational spectra of the inspected surface are studied and the dominant contribution of in-plane LDR in vibration-induced heating is demonstrated.

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Detecting low-energy impact damages in carbon-carbon composites by ultrasonic infrared thermography

Cited by 13 publications

References 14 publications

Ultrasonic Testing of Carbon Fiber-Reinforced Polymer Composites

Ultrasonic Testing of Carbon Fiber-Reinforced Polymer Composites

Application of Artificial Intelligence in Remote Monitoring Data Processing Tasks

In-plane local defect resonances for efficient vibrothermography of impacted carbon fiber-reinforced polymers (CFRP)

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