Raw data based image processing algorithm for fast detection of surface breaking cracks
K P Sruthi Krishna,Nithin Puthiyaveetil,Renil Thomas Kidangan,Sreedhar Unnikrishnakurup,Mathias Zeigler,Philipp Myrach,Krishnan Balasubramaniam,P. Biju +7 more
- Vol. 1806, Iss: 1, pp 140008
TLDR
In this paper, the authors illustrate the contribution of signal processing techniques in the field of non-destructive evaluation and demonstrate the capability of laser thermography for the detection of surface cracks and for the characterization of the geometry of artificial surface flaws.Abstract:
The aim of this work is to illustrate the contribution of signal processing techniques in the field of Non-Destructive Evaluation. A component’s life evaluation is inevitably related to the presence of flaws in it. The detection and characterization of cracks prior to damage is a technologically and economically significant task and is of very importance when it comes to safety-relevant measures. The Laser Thermography is the most effective and advanced thermography method for Non-Destructive Evaluation. High capability for the detection of surface cracks and for the characterization of the geometry of artificial surface flaws in metallic samples of laser thermography is particularly encouraging. This is one of the non-contacting, fast and real time detection method. The presence of a vertical surface breaking crack will disturb the thermal footprint. The data processing method plays vital role in fast detection of the surface and sub-surface cracks. Currently in laser thermographic inspection lacks a com...read more
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