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|NDT.net Issue - 2019-09 - NEWS ||NDT.net Issue: 2019-09|
Publication: e-Journal of Nondestructive Testing (NDT) ISSN 1435-4934 (NDT.net Journal)
Under scrutiny: Automated induction thermography for surface crack testing of forgingsFraunhofer-Institute for Non-Destructive Testing (IZFP)475, Saarbrücken, Germany
Within the framework of a project funded by the "Arbeitsgemeinschaft industrieller Forschungsvereinigungen" AiF ("Consortium of Industrial Research Associations"), Fraunhofer IZFP scientists investigate the reliability of the automated application of the thermographic crack detection method: After positive validation, this technology is to find better acceptance as an alternative to the established magnetic particle inspection. Using this method, surface-related defects such as cracks in forged parts can be determined quickly, objectively and in a resource-saving manner while the results can be stored and documented in detail. This study is intended to confirm the increased inspection reliability compared to current standard procedures. The resulting optimized economic efficiency of this new procedure will significantly contribute to the competitiveness of small and medium-sized enterprises (SMEs).
Inspection head for automated detection of surface defects in forged steel parts. Inset bottom left: Thermographic indication of a crack.
Induction thermography* is applied in many industrial sectors where forged or steel components are in use. These include the automotive industry, e.g. car steering systems, petrochemical industry and water supply (steel water pipes). Notwithstanding continuous improvements in the manufacturing processes, failures may occur in the manufactured components, for example also due to pre-material defects. Thus, nondestructive inspection of components where the inspection is performed by one of the established and standardized inspection methods, such as ultrasound for volume defects or magnetic particle inspection** for surface defects, is generally required.
Fully automated inspection with digital product file
Enhanced inspection reliability and reduced inspection times
Hence, it will be possible to store and document the raw data of any inspected component as well as the images of the defect indications. Even after longer periods of time conclusions concerning defect sources can be drawn easily. System integrators and suppliers of inspection systems will seriously benefit from the results.
Cognitive sensor systems – efficient processes
* With this technology, an inductor generates an alternating current in the electrically conductive steel. In case of the induced current strikes a surface crack, it has to make a detour around the crack. Due to ohmic losses the current flow in the component is correlated with material heating up. The current density is changed by cracks, resulting in characteristic defect signatures visible for infrared cameras. The image sequence recorded with the infrared camera can be evaluated in a short time. After pre-processing and automated defect detection, the defect images are displayed.
**In crack detection by magnetic particle inspection, the surface of the component to be inspected is sprayed with a magnetic test medium. In many cases, a fluorescent test medium is used, with a dye attached to the magnetic particles. This dye glows visibly under ultraviolet light, thus marking the crack and its course for the assessment by an inspector. In the aftermath, the test medium usually has to be washed off and disposed of properly.
Fraunhofer Institute for Nondestructive Testing IZFP