NDT of railway components using induction thermography

Netzelmann, U.; Walle, G.; Ehlen, A.; Lugin, S.; Finckbohner, M.; Bessert, Steffen

doi:10.1063/1.4940613

Cited by 18 publications

(10 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In these simplified models, the cracks were modeled either as a long notch or as a short slot going through the whole sample thickness [7,8]. 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].…”

Section: Introductionmentioning

confidence: 99%

Induction Thermography for Surface Crack Detection and Depth Determination

Oswald-Tranta

2018

Applied Sciences

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%

Induction Thermography for Surface Crack Detection and Depth Determination

Oswald-Tranta

2018

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Due to the short excitation duration and the limited number of thermal patterns need to be monitored, this technique can be easily configured for automated in-line inspection, which is a critical enabler when need to inspect large area [3]. An example of many applications will be inspecting railway tracks [3,4,5]. Last but not least, the heat is generated in the sample within the skin depth according to Eq.…”

Section: Introductionmentioning

confidence: 99%

“…According to Eq. (1), when using a 300kHz excitation frequency, the skin depth for Titanium is mostly surface and around 25mm for Carbon fibre reinforced polymer (CFRP) [5]. Therefore, induction thermography can be used for both surface and subsurface damage inspection depends on the skin depth which is only related to the material characteristics.…”

Section: Introductionmentioning

confidence: 99%

Automated induction thermography system for surface crack in-line inspection

Guo¹,

Ngo²,

Kumar³

2020

Proceedings of the 2020 International Conference on Quantitative InfraRed Thermography

View full text Add to dashboard Cite

“…Modern railway systems tend to employ various monitoring techniques generally termed as structural health monitoring [5]. Various principles of detection are being used such as acoustics [6], IR thermography [7,8], eddy currents [9] and various other, mainly MEMStechnology based sensors where the wireless integration provides a complete framework [10][11][12][13]. Corrosion hazard represents only one, often underestimated, topic of structural health monitoring [14] and is often implemented in reinforced concrete structures [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Corrosion Monitoring of Steel Structure Coating Degradation

2018

Teh. vjesn.

View full text Add to dashboard Cite

An important aspect regarding the sustainability of steel structures is to ensure the structure is protected from corrosion. A number of surface coatings are available that play an important role in protecting these structures. An important part of the management of these structures is reliable and regular inspection along with methods for early detection of corrosion processes. In this paper, a development and application of sensors for monitoring the steel coating degradation and corrosion damage to steel substrate are presented. An encapsulated corrosion kit with integrated EIS sensors and ER probes was developed. To test its efficiency, steel probes were coated with selected coatings in the laboratory and their performance was assessed under various aggressive atmospheres, including; salt, industrial and humid atmosphere.

show abstract

NDT of railway components using induction thermography

Cited by 18 publications

References 12 publications

Induction Thermography for Surface Crack Detection and Depth Determination

Induction Thermography for Surface Crack Detection and Depth Determination

Automated induction thermography system for surface crack in-line inspection

Corrosion Monitoring of Steel Structure Coating Degradation

Contact Info

Product

Resources

About