Numerical modeling for thermographic inspection of fiber metal laminates

Mabrouki, Farid; Genest, Marc; Shi, Guoqin; Fahr, A.

doi:10.1016/j.ndteint.2009.02.010

Cited by 31 publications

(17 citation statements)

References 14 publications

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“…The tuning procedure, simulating the panel heating through external heat source and the following cooling, provides the correct value for h coefficient equal to 9.2 [W/(m 2 K)]. This value is in good agreement with the value reported in similar works [34][35][36]. Moreover, the thermal output of the numerical simulation is quite insensitive to uncertainties of composite thermal parameters, since the introduction of a ± 10% variation of volumetric thermal capacity C and convective coefficient h produces a negligible variation (± 0.2 °C) of the maximum temperature at the end of the heating phase.…”

Section: Materials Properties and Tuning Of The Modelsupporting

confidence: 86%

Numerical and experimental validation of SMArt thermography for the inspection of wind blade composite laminate

2020

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An innovative active thermography technique is proposed for the inspection of typical wind blade material. The proposed technique is based on the use of a multifunctional material obtained adding a grid of Shape Memory Alloy wires, which would serve also as a protection against lightning, to a traditional glass fibre composite panel. This technique, called SMArt thermography, which exploits the SMA wires as internal heat sources, has been compared to a traditional pulsed thermography in the case of a representative panel of unidirectional glass fibre and epoxy matrix with embedded SMA wires and artificial defects. The experimental results of the two techniques are reported and compared to the result of a numerical FEM transient model, in order to establish the reliability and the detectability limit of the proposed technique. The FEM model has been proven to be a useful tool for the definition of the multifunctional material at a design stage.

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Section: Materials Properties and Tuning Of The Modelsupporting

confidence: 86%

Numerical and experimental validation of SMArt thermography for the inspection of wind blade composite laminate

2020

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“…Other important characteristics are also required by using the nondestructive testing methods, such as micro-structural and mechanical properties. There are several non-destructive techniques, such as X-ray images [1], thermographic imaging [2], ultrasonic testing methods [3], etc. .…”

Section: Introductionmentioning

confidence: 99%

Non-destructive Characteristics of Ultrasonic Waves in 1018 Low Carbon Steel

Kien¹,

Nhung²,

Thanh³

2014

Comm. in Phys.

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In this paper, the dependences of the velocities and the absorption coefficients of ultrasonic waves transmitted in 1018 low carbon steel on temperature ranging from 0\(^{\circ}\)C to 50\(^{\circ}\)C were investigated. It was shown that the velocities of the ultrasonic longitudinal wave and ultrasonic shear wave were decreased when the temperature increased. The transportation of the ultrasonic longitudinal wave and ultrasonic shear wave depends on temperature and its coefficient in a temperature range of (0 - 50 \(^{\circ}\)C) was estimated about 0.8 m/s.\(^{\circ}\)C and 0.44~m/s.\(^{\circ}\)C, respectively. These obtained results are in good agreement with the theoretical prediction. Furthermore, the absorption coefficients of the ultrasonic longitudinal wave were also studied.

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“…Two 3D plates with the dimensions 100 mm £ 100 mm £ 15 mm (see Figure 4) and different thermophysical properties [34,35] as listed in Table 1 are used as the geometry models, which include different types and sizes of defects. Flat-bottom holes are introduced in the Al plate and air-filled thin films 0.1 mm in thickness are inserted in the composite laminate to simulate delamination defects.…”

Section: Numerical Simulationmentioning

confidence: 99%

Gapped smoothing algorithm applied to defect identification using pulsed thermography

et al. 2015

Nondestructive Testing and Evaluation

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On the basis of pulsed thermography, this article presents the development of a quantitative detection method for sub-surface defects. A two dimensional gapped smoothing algorithm (GSA) applied in this method to process the surface thermal distribution and no reference information is needed. A new thermal contrast is defined and a damage index based on the thermal contrast is proposed to estimate the probability of location of a defect, and differential curves of thermal contrast are applied for further quantification of defect size. One aluminium plate and one glass fibre reinforced composite laminate containing different depths of flat-bottom holes, delaminations and impurities are introduced to assess the performance of proposed method. Numerical and experimental results indicate that the influence of non-uniform heating is clearly suppressed. Compared with the differentiated absolute contrast approach, distinct enhancement of thermal contrast is achieved, and the location and size of sub-surface instances of damage can be quantitatively determined using the proposed method. The relation of damage index and flaw depth is investigated and a general expression is presented for the evaluation of flaw depth. The influence of the distribution density of the gapped grid on detection accuracy is further discussed. The proposed method, which is less dependent on the capture time, can be used for automatic detection and characterisation of defects. The reliability and applicability of the GSA applied to pulsed thermography are verified.

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Numerical modeling for thermographic inspection of fiber metal laminates

Cited by 31 publications

References 14 publications

Numerical and experimental validation of SMArt thermography for the inspection of wind blade composite laminate

Numerical and experimental validation of SMArt thermography for the inspection of wind blade composite laminate

Non-destructive Characteristics of Ultrasonic Waves in 1018 Low Carbon Steel

Gapped smoothing algorithm applied to defect identification using pulsed thermography

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