Quantitative evaluation of angular defects by pulsed eddy current thermography

Abidin, Ilham Zainal; Tian, Gui Yun; Wilson, John W.; Yang, Suixian; Almond, D.P.

doi:10.1016/j.ndteint.2010.05.010

Cited by 127 publications

(25 citation statements)

References 9 publications

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“…Experimental results for surface crack detection with induction thermography have been reported by several groups in different ferro-magnetic samples, for example, in forged parts [9,10] and in rail surfaces [11,12]. As these head checks lay typically inclined to the surface, further numerical models have been set up for angular defects [12][13][14]. As induction thermography became an important NDT (non-destructive testing) method for detecting surface cracks in industrial applications [15], many efforts have been undertaken [16] to set up a standard [17].…”

Section: Introductionmentioning

confidence: 99%

Induction Thermography for Surface Crack Detection and Depth Determination

Oswald-Tranta

2018

Applied Sciences

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Abstract:In the last few years, induction thermography has been established as a non-destructive testing method for localizing surface cracks in metals. The sample to be inspected is heated with a short induced electrical current pulse, and the infrared camera records-during and after the heating pulse-the temperature distribution at the surface. Transforming the temporal temperature development for each pixel to phase information makes not only highly reliable detection of the cracks possible but also allows an estimation of its depth. Finite element simulations were carried out to investigate how the phase contrast depends on parameters such as excitation frequency, pulse duration, material parameters, crack depth, and inclination angle of the crack. From these results, generalized functions for the dependency of the phase difference on all these parameters were derived. These functions can be used as an excellent guideline as to how measurement parameters should be optimized for a given material to be able to detect cracks and estimate their depth. Several experiments on different samples were also carried out, and the results compared with the simulations showed very good agreement.

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Section: Introductionmentioning

confidence: 99%

Induction Thermography for Surface Crack Detection and Depth Determination

Oswald-Tranta

2018

Applied Sciences

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“…A rise/fall of few degrees is expected for TBET when a defect is present. In most of the earlier reported work [5], continuous AC was employed at a single frequency. However, the use of tone bursts (a fixed number of cycles) and the effect of frequency [6] of the AC are both explored in great detail in this paper.…”

Section: Tone Burst Eddy Current Thermographymentioning

confidence: 99%

Simulations and measurements of artificial cracks and pits in flat stainless steel plates using tone burst eddy-current thermography (TBET)

Libin¹,

Balasubramaniam²,

Maxfield³

et al. 2013

AIP Conference Proceedings

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“…Literature also suggests a paper on using Fisher's linear discriminant analysis on PEC differential signals to classify defects of normal and inclined cracks but did not imply any size quantification [12]. Typical NDT techniques used for this purpose are PEC thermography [13] and ultrasonic testing (UT) [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…This is highly important in real life application, as cracks, such as rolling contact fatigue (RCF) in rail track heads, tend to grow at steep angles and can potentially result in an underestimation of the cracks. Since it is highly difficult to manufacture a calibration sample with specific crack geometry, well-defined cracks with different inclination angles are commonly used instead [13]. This research opens up the use of image processing to extract linear scans from 2D scan images.…”

Section: Introductionmentioning

confidence: 99%

Image-Based Feature Extraction Technique for Inclined Crack Quantification Using Pulsed Eddy Current

Nafiah

Sophian

Khan

et al. 2019

Chin. J. Mech. Eng.

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Existing eddy current non-destructive testing (NDT) techniques generally do not consider the inclination angle of inclined cracks, which potentially harms a larger region of a tested structure. This work proposes the use of 2D scan images generated by using pulsed eddy current (PEC) non-destructive testing (NDT) technique in the quantification of the inclination and depth of inclined cracks. The image-based feature extraction technique effectively identifies the crack axis, which consequently enables extraction of features from the extracted linear scans. The technique extracts linear scans from the images to allow the extraction of three novel image-based features, namely the length of extracted linear scans (LLS), the linear scan skewness (LSS), and the highest value on linear scan (LS max). The correlation of the three features to surface crack inclination angles and depths were analysed and found to be highly dependent on the crack depths, while only LLS and LSS are correlated to the crack inclination angles.

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Quantitative evaluation of angular defects by pulsed eddy current thermography

Cited by 127 publications

References 9 publications

Induction Thermography for Surface Crack Detection and Depth Determination

Induction Thermography for Surface Crack Detection and Depth Determination

Simulations and measurements of artificial cracks and pits in flat stainless steel plates using tone burst eddy-current thermography (TBET)

Image-Based Feature Extraction Technique for Inclined Crack Quantification Using Pulsed Eddy Current

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