2019
DOI: 10.1016/j.ndteint.2018.12.012
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Multi-spectral near infrared NDE of polymer composites

Abstract: Near infrared signals have been used to generate images of the internal structure of fibre-reinforced polymer and foam-filled honeycomb samples. Several different measurement configurations have been investigated, including the use of both modulated light-emitting diodes at discrete wavelengths and broad bandwidth illumination. It is shown that transmission through the samples is wavelengthdependent, and that artificial defects can be detected within polymer composite materials. In addition, wavelength-depende… Show more

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Cited by 4 publications
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“…Several Non-Destructive Testing (NDT) techniques have been successfully employed for detecting defects/flaws in composite materials often used in the aerospace industry, such as carbon fibre reinforced composite (CFRP), glass laminate aluminium reinforced epoxy (GLARE) and so on. Examples of NDT techniques for investigating composites are eddy-currents [10,11,12,13,14], active thermography [15,16,17,18,19], ultrasonic testing including guided waves [20,21,22,23,24,25], shearography [26,27,28,29], and near infrared spectroscopy [30,31,32,33]. However, the choice of the optimal NDT method for a given sample depends on the physical properties and size of the specimen, as well as whether there is access to one or both sides of the sample.…”
Section: Introductionmentioning
confidence: 99%
“…Several Non-Destructive Testing (NDT) techniques have been successfully employed for detecting defects/flaws in composite materials often used in the aerospace industry, such as carbon fibre reinforced composite (CFRP), glass laminate aluminium reinforced epoxy (GLARE) and so on. Examples of NDT techniques for investigating composites are eddy-currents [10,11,12,13,14], active thermography [15,16,17,18,19], ultrasonic testing including guided waves [20,21,22,23,24,25], shearography [26,27,28,29], and near infrared spectroscopy [30,31,32,33]. However, the choice of the optimal NDT method for a given sample depends on the physical properties and size of the specimen, as well as whether there is access to one or both sides of the sample.…”
Section: Introductionmentioning
confidence: 99%