Carbon fiber composite inspection and defect characterization using active infrared thermography: numerical simulations and experimental results

Fernandes, Henrique; Zhang, Hai; Figueiredo, Alisson; Ibarra-Castanedo, Clemente; Guimarares, Gilmar; Maldague, Xavier

doi:10.1364/ao.55.000d46

Cited by 41 publications

(12 citation statements)

References 27 publications

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“…HE usage of CFRP in the aerospace and aircraft industry is increasing hugely owing to its unique characteristics as lightweight, stiffness, and resistance to corrosion. For quality assurance to monitor the health and quality of the composite becomes ever more important [1]. The composites are manufactured by sandwiching different layers.…”

Section: Introductionmentioning

confidence: 99%

Ensemble Joint Sparse Low-Rank Matrix Decomposition for Thermography Diagnosis System

Ahmed

Gao

Woo

et al. 2021

IEEE Trans. Ind. Electron.

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Section: Introductionmentioning

confidence: 99%

Ensemble Joint Sparse Low-Rank Matrix Decomposition for Thermography Diagnosis System

Ahmed

Gao

Woo

et al. 2021

IEEE Trans. Ind. Electron.

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“…NDE regroups a variety of methods used to examine or inspect a part or a system without impairing its future usefulness. Several studies have recently investigated the pros and cons of such techniques in a variety of applications [ 2 , 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Infrared Thermography for Fiber Orientation Assessment on Randomly-Oriented Strands Parts

Fernandes

Zhang

Figueiredo

et al. 2018

Sensors

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The use of fiber reinforced materials such as randomly-oriented strands has grown in recent years, especially for manufacturing of aerospace composite structures. This growth is mainly due to their advantageous properties: they are lighter and more resistant to corrosion when compared to metals and are more easily shaped than continuous fiber composites. The resistance and stiffness of these materials are directly related to their fiber orientation. Thus, efficient approaches to assess their fiber orientation are in demand. In this paper, a non-destructive evaluation method is applied to assess the fiber orientation on laminates reinforced with randomly-oriented strands. More specifically, a method called pulsed thermal ellipsometry combined with an artificial neural network, a machine learning technique, is used in order to estimate the fiber orientation on the surface of inspected parts. Results showed that the method can be potentially used to inspect large areas with good accuracy and speed.

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“…In this framework, an effective non-destructive testing & evaluation (NDT&E) technique for basalt-carbon fibers hybrid materials is needed. Infrared thermography (IRT) [13], as a widely used NDT&E technique, has been used for the evaluation of composite materials [14][15][16]. E.g., optical excitation thermography (OET) [17] and vibrothermography (VT), based on the established heating methods, have been used for basalt-carbon fibers hybrid composite laminate evaluation [18].…”

Section: Introductionmentioning

confidence: 99%

Eddy current pulsed thermography for ballistic impact evaluation in basalt-carbon hybrid composite panels

et al. 2018

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In this paper, eddy current pulsed thermography was used to evaluate ballistic impact damages in basalt-carbon hybrid fiber-reinforced polymer composite laminates for the first time, to our knowledge. In particular, different hybrid structures including intercalated stacking and sandwich-like sequences were used. Pulsed phase thermography, wavelet transform, principle component thermography, and partial least-squares thermography were used to process the thermographic data. Ultrasound C-scan testing and X-ray computed tomography were also performed for comparative purposes. Finite element analysis was used for validation. Finally, an analytical and comparative study was conducted based on signal-to-noise ratio analysis.

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Carbon fiber composite inspection and defect characterization using active infrared thermography: numerical simulations and experimental results

Cited by 41 publications

References 27 publications

Ensemble Joint Sparse Low-Rank Matrix Decomposition for Thermography Diagnosis System

Ensemble Joint Sparse Low-Rank Matrix Decomposition for Thermography Diagnosis System

Machine Learning and Infrared Thermography for Fiber Orientation Assessment on Randomly-Oriented Strands Parts

Eddy current pulsed thermography for ballistic impact evaluation in basalt-carbon hybrid composite panels

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