TY - CONF A1 - Krishna, S. K. P. A1 - Puthiyaveetil, N. A1 - Kidangan, R. A1 - Unnikrishnakurup, Sreedhar A1 - Ziegler, Mathias A1 - Myrach, Philipp A1 - Balasubramaniam, Krishnan A1 - Purushothaman, B. T1 - Raw data based image processing algorithm for fast detection of surface breaking cracks N2 - 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 compromising data processing algorithm which is necessary for the fast crack detection and also the analysis of data is done as part of post processing. In this work we introduced a raw data based image processing algorithm which results precise, better and fast crack detection. The algorithm we developed gives better results in both experimental and modeling data. By applying this algorithm we carried out a detailed investigation Variation of thermal contrast with crack parameters like depth and width. The algorithm we developed is applied for various surface temperature data from the 2D scanning model and also validated credibility of algorithm with experimental data. T2 - QNDE conference 2016 - Review of progress in quantitative nondestructive evaluation CY - Atlanta, GA, USA DA - 18.07.2016 KW - Crack Detection KW - Laserthermografie KW - Thermografie KW - Risserkennung PY - 2017 SN - 978-0-7354-1474-7 U6 - https://doi.org/10.1063/1.4974723 SN - 0094-243X VL - 1806 IS - 1 SP - UNSP 140008, 1 EP - 9 PB - AIP Publishing CY - New York AN - OPUS4-39387 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Puthiyaveettil, N. A1 - Krishna, S. A1 - Kidangan, R. A1 - Unnikrishnakurup, Sreedhar A1 - Krishnamurthy, C. V. A1 - Ziegler, Mathias A1 - Myrach, Philipp A1 - Balasubramaniam, Krishnan T1 - In-line laser thermography for crack detection at elevated temperature: A Numerical modeling study N2 - The detection and characterization of cracks prior to damage is a technologically and economically highly significant task and is of very importance when it comes to safety-relevant structures. The evaluation of a components life is closely related to the presence of cracks in it. Laser thermography has already high capability for the detection of surface cracks and for the characterization of the geometry of artificial surface flaws in metallic samples. Crack detection in metallic samples at high temperature is highly significant in present manufacturing scenario. During the casting process of billets, surface cracks form, due to the suboptimal cooling rates. These cracks reduce value of the billet and must be removed using machining process after cooling. This secondary process increases cost of manufacturing. In this work we developed a heat transfer model for laser thermography to study the thermal contrast variation with increase in surface temperature using finite element method (FEM). Here we are mainly concentrating the capability of the scanning laser thermography in crack detection which are in elevated temperature and numerical modeling study of thermal contrast variation of crack with respect increase in metal surface temperature. This study is important to prove the capability of laser thermography for crack detection in elevated temperature. Since we are using High power CW Laser to local heating of the metal surface which can give relatively high thermal contrast even at elevated temperature compare to other heating source. Here we are modeled and simulated 2D laser scanning across a surface breaking crack and developed an algorithm to produce the vicinity of crack. The algorithm we developed applied for various surface temperature data. And validated the credibility of the algorithm with experimental data. T2 - 13th Quantitative Infrared Thermography Conference 2016 CY - Gdansk, Poland DA - 04.07.2016 KW - Thermal contrast KW - Laser thermography KW - Thermography KW - Surface cracks KW - Elevated temperatures KW - FEM PY - 2016 UR - http://www.ndt.net/article/qirt2016/papers/092.pdf U6 - https://doi.org/10.21611/qirt.2016.092 VL - 2016 SP - 588 EP - 596 PB - QIRT 2016 Proceedings AN - OPUS4-39105 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -