Quantifying the width and angle of inclined cracks using laser-spot lock-in thermography

Rodríguez‐Aseguinolaza, Javier; Colom, Mateu; González, Jorge Méndez; Mendioroz, A.; Salazar, A.

doi:10.1016/j.ndteint.2021.102494

Cited by 16 publications

(5 citation statements)

References 37 publications

(38 reference statements)

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“…The crack modelling was implemented by considering two contacting surfaces with a thermal resistance (R th ) modelled as a resistive layer with a thickness equal to the nominal crack size. This type of modelling, as reported in other studies [10,11], dramatically reduces computational costs by avoiding excessive refinement of elements near the crack.…”

Section: Fem Modelmentioning

confidence: 77%

“…As previously mentioned, the capability of LFST to detect cracks was evaluated in the present study. Several studies have investigated this aspect, focusing on an infinite or semi-infinite crack, often employing FEM models [10,11].…”

Section: Methodsmentioning

confidence: 99%

“…Previous studies have shown that detecting defects is related to the temperature difference observed in the surface temperature distribution at the crack interface [10,11]. As a result, we evaluated the impact of specific parameters on this temperature difference.…”

Section: Fem Modelmentioning

confidence: 99%

“…Several authors investigated this method in the past, confirming its potential for crack detection [8,9]. A group from Bilbao has conducted several studies on the related model and quantitative analysis of cracks, evaluating the behavior of an inclined and finite crack within the thickness [10,11].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Laser Thermography: An Investigation of Test Parameters on Detection and Quantitative Assessment in a Finite Crack

Addante,

Dell’Avvocato,

Bisceglia

et al. 2023

Aita 2023

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Section: Fem Modelmentioning

confidence: 77%

Section: Methodsmentioning

confidence: 99%

Section: Fem Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Laser Thermography: An Investigation of Test Parameters on Detection and Quantitative Assessment in a Finite Crack

Addante,

Dell’Avvocato,

Bisceglia

et al. 2023

Aita 2023

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“…Lock-in thermography is often used to inspect composite materials such as aerospace structural elements [ 1 , 2 , 3 , 4 , 5 ], wind turbine blade parts [ 6 , 7 , 8 ], and other advanced composites such as composites containing nanotubes [ 9 , 10 ] as well as sandwich structures [ 11 ]. Lock-in thermography is widely used for detecting subsurface defects, such as cracks [ 12 , 13 ], delamination [ 14 , 15 , 16 ], impact damage [ 17 , 18 ], and corrosion [ 19 , 20 ]. It is considered a highly versatile NDT method because it can be used for a wide range of materials and components such as metal [ 21 ], composites [ 22 ], wood [ 23 ], ceramics [ 24 ], plastics [ 25 ], and concrete [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Excitation Periods on the Outcome of Lock-In Thermography

et al. 2023

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Thermal imaging is a non-destructive test method that uses an external energy source, such as a halogen lamp or flash lamp, to excite the material under test and measure the resulting temperature distribution. One of the important parameters of lock-in thermography is the number of excitation periods, which is used to calculate a phase image that shows defects or inhomogeneities in the material. The results for multiple periods can be averaged, which leads to noise suppression, but the use of a larger number of periods may cause an increase in noise due to unsynchronization of the camera and the external excitation source or may lead to heating and subsequent damage to the sample. The phase image is the most common way of representing the results of lock-in thermography, but amplitude images and complex images can also be obtained. In this study, eight measurements were performed on different samples using a thermal pulse source (flash lamp and halogen lamp) with a period of 120 s. For each sample, five phase images were calculated using different number of periods, preferably one to five periods. The phase image calculated from one period was used as a reference. To determine the effect of the number of excitation periods on the phase image, the reference phase image for one period was compared with the phase images calculated using multiple periods using the structural similarity index (SSIM) and multi-scale SSIM (MS-SSIM).

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