Autor: |
Sreedhar Unnikrishnakurup, Philipp Myrach, Mathias Ziegler, Krishnan Balasubramaniam, Renil Thomas Kidangan, C. V. Krishnamurthy, Nithin Puthiyaveettil |
Rok vydání: |
2018 |
Předmět: |
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Zdroj: |
Proceedings of the 2018 International Conference on Quantitative InfraRed Thermography. |
Popis: |
The detection of cracks before the failure is highly significant when it comes to safety-relevant structures. Crack detection in metallic samples at high surface temperature is one of the challenging situation in manufacturing industries. Laser thermography has already proved its detection capability of surface cracks in metallic samples at room temperature. In this work a continuous wave (CW) laser use to generate a laser, which is using to scan the metal surface with notch. The corresponding heat distribution on the surface monitored using infrared thermal (IR) camera. A simplified 3D model for laser thermography is developed and validated with experimental results. A dedicated image processing algorithm developed to improve the detectability of the cracks. To understand the dependency of surface temperature, laser power, laser scanning speed etc. in defect detection, we carried out parametric studies with our validated model. Here we Report the capability of laser thermography in crack detection at elevated temperature. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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