Thermographic crack detection by eddy current excitation

Zenzinger, G.; Bamberg, Joachim; Satzger, Wilhelm; Carl, V.

doi:10.1080/10589750701447920

Cited by 80 publications

(37 citation statements)

References 3 publications

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“…Previous research has demonstrated the efficacy of ECPT to detect surface cracks on steel wires [7], metal compressor blades [8], and rail track due to rolling contact fatigue [9], etc. In addition, He et al detected steel corrosion and investigated the influence of testing parameters on detection accuracy of ECPT [10,11].…”

Section: Introductionmentioning

confidence: 99%

An Investigation on Eddy Current Pulsed Thermography to Detect Surface Cracks on the Tungsten Carbide Matrix of Polycrystalline Diamond Compact Bit

Gong

Zhang

et al. 2017

Applied Sciences

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Polycrystalline diamond compact (PDC) bits are commonly used drill bits in the petroleum drilling industry. Cracks often occur on the surface of a bit, which may result in the unexpected suspension of the drilling operation, or even accidents. Therefore, the detection of surface cracks on PDC bits is of great importance to ensure continuous drilling operation and to prevent accidents. However, it is extremely difficult to detect such cracks by visual inspection or other traditional nondestructive testing (NDT) techniques due to the small size of cracks and the irregular geometry of bits. As one emerging NDT technique, eddy current pulsed thermography (ECPT) can instantly detect surface cracks on metal parts with irregular geometry. In this study, the feasibility of ECPT of detecting surface cracks on the tungsten carbide matrix of PDC bits was investigated. A successive scanning detection mode is proposed to detect surface cracks by using ECPT with a low power heating excitation unit and small-size coils. The influence of excitation duration on the detection result was also investigated. In addition, principal component analysis (PCA) was employed to process the acquired IR image sequences to improve detection sensitivity. Finally, the whole shape of a crack was restored with processed images containing varied cracks segments. Based on the experimental results, we conclude that the surface cracks on the tungsten carbide matrix of PDC bit can be detected effectively and conveniently by ECPT in scanning mode with the aid of PCA.

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Section: Introductionmentioning

confidence: 99%

An Investigation on Eddy Current Pulsed Thermography to Detect Surface Cracks on the Tungsten Carbide Matrix of Polycrystalline Diamond Compact Bit

Gong

Zhang

et al. 2017

Applied Sciences

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“…They have the potential to detect unobservable fatigue cracks and monitor their development. They include acoustic emission [2,3,4], ultrasonic waves [5], eddy current [6,7], thermography [8], and vibrothermography [9]. However, NDE methods have limited real-time applicability and are also expensive to perform.…”

Section: Introductionmentioning

confidence: 99%

Smart sensing skin for detection and localization of fatigue cracks

Kharroub

Laflamme

Cheng

et al. 2015

Smart Mater. Struct.

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Fatigue cracks on steel components may have strong consequences on the structure's serviceability and strength. Their detection and localization is a difficult task. Existing technologies enabling structural health monitoring have a complex link signal-to-damage or have economic barriers impeding large-scale deployment. A solution is to develop sensing methods that are inexpensive, scalable, with signals that can directly relate to damage. The authors have recently proposed a smart sensing skin for structural health monitoring applications to mesosystems. The sensor is a thin film soft elastomeric capacitor (SEC) that transduces strain into a measurable change in capacitance. Arranged in a network configuration, the SEC would have the capacity to detect and localize damage by detecting local deformation over a global surface, analogous to biological skin. In this paper, the performance of the SEC at detecting and localizing fatigue cracks in steel structures is investigated. Fatigue cracks are induced in steel specimens equipped with SECs, and data measured continuously. Test results show that the fatigue crack can be detected at an early stage. The smallest detectable crack length and width are 27.2 and 0.254 mm, respectively, and the average detectable crack length and width are 29.8 and 0.432 mm, respectively. Results also show that, when used in a network configuration, only the sensor located over the formed fatigue crack detect the damage, thus validating the capacity of the SEC at damage localization. Fatigue cracks on steel components may have strong consequences on the structure's serviceability and strength. Their detection and localization is a dicult task. Existing technologies enabling structural health monitoring have a complex link signalto-damage or have economic barriers impeding large-scale deployment. A solution is to develop sensing methods that are inexpensive, scalable, with signals that can directly relate to damage. The authors have recently proposed a smart sensing skin for structural health monitoring applications to mesosystems. The sensor is a thin lm soft elastomeric capacitor (SEC) that transduces strain into a measurable change in capacitance. Arranged in a network conguration, the SEC would have the capacity to detect and localize damage by detecting local deformation over a global surface, analogous to biological skin. In this paper, the performance of the SEC at detecting and localizing fatigue cracks in steel structures is investigated. Fatigue cracks are induced in steel specimens equipped with SECs, and data measured continuously. Test results show that the fatigue crack can be detected at an early stage. The smallest detectable crack length and width are 27.2 mm and 0.254 mm, respectively, and the average detectable crack length and width are 29.8 mm and 0.432 mm, respectively. Results also show that, when used in a network conguration, only the sensor located over the formed fatigue crack detect the damage, thus validating the capacity of the SEC at damage localizat...

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“…Basically, an induction coil with a short electric pulse (typically from 50 ms to 1 s) is applied (without contact) to the object of interest, thus generating Eddy currents in the surface. The Eddy currents' distribution varies when a defect is present, generating a heat profile in the defect which can be imaged with a thermal camera [3], [4]. This technique is suitable for inspecting electrically conductive materials and also for CFRP.…”

Section: Introductionmentioning

confidence: 99%

Induction thermography for automatic crack detection in automotive components

Franco¹,

Rodríguez²,

Otero³

2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

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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 detection of the crack within the geometrical indications. Short induction and testing times per view will allow acceptable inspection times for the complete steel parts.

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Thermographic crack detection by eddy current excitation

Cited by 80 publications

References 3 publications

An Investigation on Eddy Current Pulsed Thermography to Detect Surface Cracks on the Tungsten Carbide Matrix of Polycrystalline Diamond Compact Bit

An Investigation on Eddy Current Pulsed Thermography to Detect Surface Cracks on the Tungsten Carbide Matrix of Polycrystalline Diamond Compact Bit

Smart sensing skin for detection and localization of fatigue cracks

Induction thermography for automatic crack detection in automotive components

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