Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography 2016
DOI: 10.21611/qirt.2016.165
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Induction thermography for automatic crack detection in automotive components

Abstract: Active thermography with inductive excitation is proposed as a reliable method for substitution of magnetic particle inspection on steel automotive components. A study for inner part inspection of the component is presented, where typical superficial cracks of different length (>5 mm) and orientation are detected by induction thermography. Programmed acquisition and analysis with Fourier transformation are developed to obtain a phase image for crack detection. Image processing can be developed for a reliable d… Show more

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Cited by 3 publications
(3 citation statements)
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“…Another group of techniques already allows identifying strictly defined types of defects, such as cracks above 5 mm long [11]. Induction thermography (or induction heating) is based on the induction of eddy currents from an Energy source, such as an examination probe.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Another group of techniques already allows identifying strictly defined types of defects, such as cracks above 5 mm long [11]. Induction thermography (or induction heating) is based on the induction of eddy currents from an Energy source, such as an examination probe.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, this technique requires additional steps, which can include heating, which may affect the material's properties. In addition, a big challenge is for the operator to detect actual crack locations while dealing with the numerous temperature changes in the image [11].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Past research work is either focusing on the surface crack detection mechanism [6] or the speed effect [7]. This work will study systematically the detectability on a range of crack sizes under different moving speed.…”
Section: Introductionmentioning
confidence: 99%