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Application of the Thermal Shock Response Spectrum (TSRS) methodology to various forms of heat sources by impulse thermography

  • In this paper, we investigate the influence of different heat source pulse shapes by Infrared impulse thermography (IRT) on the results of the thermal shock response spectrum (TSRS) methodology. TSRS is a new alternative approach for evaluating impulse thermography (IRT) data based on an analogy to Shock Response Spectrum (SRS) analysis (ISO 18431) for mechanical systems. It allows processing the entire recorded signal without truncating the saturated thermogram, as in pulse-phase thermography (PPT) or thermal signal reconstruction (TSR). For this purpose, we use a widespread halogen lamp as heat source as well as laser spot. The laser source enables not only to generate a precise shape of the pulse, but also to heat a specific area of the sample uniformly. This makes it possible to suppress influences of lateral fluxes due to uneven distribution of the excitation source on the surface of the specimen and leads to improved results. In order to quantitatively compare the results and toIn this paper, we investigate the influence of different heat source pulse shapes by Infrared impulse thermography (IRT) on the results of the thermal shock response spectrum (TSRS) methodology. TSRS is a new alternative approach for evaluating impulse thermography (IRT) data based on an analogy to Shock Response Spectrum (SRS) analysis (ISO 18431) for mechanical systems. It allows processing the entire recorded signal without truncating the saturated thermogram, as in pulse-phase thermography (PPT) or thermal signal reconstruction (TSR). For this purpose, we use a widespread halogen lamp as heat source as well as laser spot. The laser source enables not only to generate a precise shape of the pulse, but also to heat a specific area of the sample uniformly. This makes it possible to suppress influences of lateral fluxes due to uneven distribution of the excitation source on the surface of the specimen and leads to improved results. In order to quantitatively compare the results and to investigate the possible influence of the source shape on the TSRS, the Tanimoto criterion and the signal-to-noise ratio (SNR) were applied to the region of interest (ROI) of the carbon fiber reinforced polymer (CFRP) laminate with artificial defects as defect detectability criterion.zeige mehrzeige weniger

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Metadaten
Autor*innen:H. YagdjianORCiD
Koautor*innen:Julien Lecompagnon, Philipp Hirsch, Mathias ZieglerORCiD, M. Gurka
Dokumenttyp:Vortrag
Veröffentlichungsform:Präsentation
Sprache:Englisch
Jahr der Erstveröffentlichung:2024
Organisationseinheit der BAM:8 Zerstörungsfreie Prüfung
8 Zerstörungsfreie Prüfung / 8.3 Thermografische Verfahren
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurbau
Freie Schlagwörter:Laser; Thermografie; ZfP
Post-processing; Thermal shock response
Themenfelder/Aktivitätsfelder der BAM:Infrastruktur
Infrastruktur / Leichtbau
Veranstaltung:Jahrestaung der Deutschen Gesellschaft für Zerstörungsfreie Prüfung (DGZfP) 2024
Veranstaltungsort:Osnabrück, Germany
Beginndatum der Veranstaltung:06.05.2024
Enddatum der Veranstaltung:08.05.2024
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:30.05.2024
Referierte Publikation:Nein
Eingeladener Vortrag:Nein
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