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In-line laser thermography for crack detection at elevated temperature: A Numerical modeling study

  • 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 methodThe 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.zeige mehrzeige weniger

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Autor*innen:N. Puthiyaveettil, S. Krishna, R. Kidangan, Sreedhar Unnikrishnakurup, C. V. Krishnamurthy, Mathias ZieglerORCiD, Philipp Myrach, Krishnan Balasubramaniam
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Graue Literatur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):QIRT 2016
Jahr der Erstveröffentlichung:2016
Verlag:QIRT 2016 Proceedings
Jahrgang/Band:2016
Erste Seite:588
Letzte Seite:596
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurwissenschaften und zugeordnete Tätigkeiten
Freie Schlagwörter:Elevated temperatures; FEM; Laser thermography; Surface cracks; Thermal contrast; Thermography
Veranstaltung:13th Quantitative Infrared Thermography Conference 2016
Veranstaltungsort:Gdansk, Poland
Beginndatum der Veranstaltung:04.07.2016
Enddatum der Veranstaltung:08.07.2016
DOI:10.21611/qirt.2016.092
URL:http://www.ndt.net/article/qirt2016/papers/092.pdf
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:07.02.2017
Referierte Publikation:Ja
Datum der Eintragung als referierte Publikation:05.05.2017
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