This work aims at non-destructive detection of surface and subsur-face defects in metallic specimens (e.g. railway track components) via pulsed inductive thermography in a moving setup. A new approach for scanning with changing speed has been developed to enable manual scanning of components in track. A steel speci-men is heated with an inductor, and the surface temperature, including its variation over time, is recorded with an infrared cam-era. The infrared sequence is evaluated by Fourier transform to phase image, in order to increase the image quality. The proposed method uses a referencing object with AprilTags visible in each frame, allowing an adjustment by image registration. Changes in velocity during the scanning process are possible, as demonstrated by a manually performed scan of the specimen and the correspond-ing evaluation. Results obtained with different infrared cameras and scanning speeds were condensed into an estimation of the max-imum scanning speed for a given camera specification.
Bibliographische NotizFunding Information:
The authors gratefully acknowledge the financial support under the scope of the COMET program within the K2 Center “Integrated Computational Material, Process and Product Engineering (IC-MPPE)” (Project No 886385). This program is supported by the Austrian Federal Ministries for Climate Action, Environment, Energy, Mobility, Innovation and Technology (BMK) and for Labour and Economy (BMAW), represented by the Austrian Research Promotion Agency (FFG), and the federal states of Styria, Upper Austria and Tyrol.
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
- inductive thermography
- image registration
- defect detection
- rolling contact fatigue