Experiments of Infrared Thermography NDT in Composite Materials with Honeycomb Sandwich Structure

Wu, Cui Qin; Wang, Wei Ping; Yuan, Qi Gang; Li, Yan Jun; Zhang, Wei; Zhang, Xiang Dong

doi:10.4028/www.scientific.net/amr.311-313.127

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Pulse thermography has already been proven efficient for the qualitative detection of disbond defects, calibrated [21] or resulting from deficient manufacturing processes such as brazing [22], by comparison to other NDE techniques such as pulse echo ultrasounds or holography. The thermal signature of these defects is justified by the fact that the disbonds between the composite skin and the metallic honeycomb cells make the skin above remain hotter.…”

Section: Impact Damage On Honeycomb Sandwich Panelsmentioning

confidence: 99%

A TSR-Based Quantitative Processing Procedure to Synthesize Thermal D-Scans of Real-Life Damage in Composite Structures

2015

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A two-step processing procedure of pulse thermography experimental data is proposed to synthesize thermal D-scans of composite materials and structures. The first step consists in the identification of the damaged areas by applying the thermographic signal reconstruction (TSR) technique and the red-green-blue (RGB) projection of a combination of polynomial coefficients. The second step takes full advantage of the correlation between the colors of the resulting TSR-RGB map and the defect depths: a limited number of thermograms (one for each color shade) is analyzed to estimate the emergence times of the contrasts locally created by the defects, which enables to assess their depths and provide a depth-scale to the thermal image, at low cost. Once validated for the quantitative imaging of calibrated defects of known depths, the procedure is applied to actual real-life damage, whether initially introduced by manufacturing processes or induced by external solicitations such as impact, fire exposition or quasi-static mechanical loading. Simple planar plates and more complex structures (stiffened panel, honeycomb sandwich and riveted assembly) are considered.

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Section: Impact Damage On Honeycomb Sandwich Panelsmentioning

confidence: 99%

A TSR-Based Quantitative Processing Procedure to Synthesize Thermal D-Scans of Real-Life Damage in Composite Structures

2015

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“…Referring to the methods in [30], the R 1 and R 2 can be found by the genetic algorithm. Finally, the image output f (x,y) of figure 6(a) can be obtained by equation (3)(4)(5)(6), as shown in figure 10(a). It can be seen that the white area is the defect area, while the gray area belongs to the transition area.…”

Section: Image Algorithm For Defect Recognitionmentioning

confidence: 99%

“…Therefore, it is necessary to develop a nondestructive test (NDT) of absorbing coatings. At present, common methods of NDT include rays [3], ultrasonics [4], infrared thermography [5] and eddy currents [6]. Among these, infrared thermography has been widely used in NDT due to its advantages of safety, high accuracy and of being non-contact.…”

Section: Introductionmentioning

confidence: 99%

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A method for detecting unbond defects of absorbing coatings

Tu¹,

Li²,

Long³

et al. 2022

Meas. Sci. Technol.

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The nondestructive test (NDT) of microwave absorbing coatings plays a very important role in radar stealth and electromagnetic compatibility. In various NDT methods, microwave thermography has shown good potential. This method uses thermal imager to measure the surface thermal profile of absorbing coatings which is heated by microwave. In this paper, the application of microwave thermography in defect detection of absorbing coatings is presented. Specifically, the measurement principle of microwave thermography is studied by theoretical analysis and simulation, and the influence of thermal diffusion on defect recognition has been discussed. On this basis, an improved morphological edge detection (MED) algorithm based on dual-threshold segmentation (DTS) has been proposed to get defect features. Finally, research shows that this algorithm can reduce the influence of thermal diffusion in the detection of defect geometric features.

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Simulation of reconstructions of the polar ZnO(0001)surfaces

Meskine

Mulheran

2011

Phys. Rev. B

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Surface reconstructions on the polar ZnO(0001) surface are investigated using empirical potential models. Several possible reconstructions based around triangular motifs are investigated. The quenching of the dipole moment in the material dominates the energetics of the surface patterns so that no one particular size of surface triangular island or pit is strongly favoured. We employ Monte Carlo simulations to explore which patterns emerge from a high temperature quench and during deposition of additional ZnO monolayers. The simulations show that a range of triangular islands and pits evolve in competition with one another. The surface patterns we discover are qualitatively similar to those observed experimentally.

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Experiments of Infrared Thermography NDT in Composite Materials with Honeycomb Sandwich Structure

Cited by 3 publications

References 4 publications

A TSR-Based Quantitative Processing Procedure to Synthesize Thermal D-Scans of Real-Life Damage in Composite Structures

A TSR-Based Quantitative Processing Procedure to Synthesize Thermal D-Scans of Real-Life Damage in Composite Structures

A method for detecting unbond defects of absorbing coatings

Simulation of reconstructions of the polar ZnO(0001)surfaces

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