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Quantitative defect reconstruction in active thermography for fiber-reinforced composites

  • Carbon-fiber reinforced composites are becoming more and more important in the production of light-weight structures, e.g., in the automotive and aerospace industry. Thermography is often used for non-destructive testing of These products, especially to detect delaminations between different layers of the composite. In this presentation, we aim at methods for defect reconstruction from thermographic measurements of such carbon-fiber reinforced composites. The reconstruction results shall not only allow to locate defects, but also give a quantitative characterization of the defect properties. We discuss the simulation of the measurement process using finite element methods, as well as the experimental validation on flat bottom holes. Especially in pulse thermography, thin boundary layers with steep temperature gradients occurring at the heated surface need to be resolved. Here we use the combination of a 1D analytical solution combined with numerical solution of the remaining defectCarbon-fiber reinforced composites are becoming more and more important in the production of light-weight structures, e.g., in the automotive and aerospace industry. Thermography is often used for non-destructive testing of These products, especially to detect delaminations between different layers of the composite. In this presentation, we aim at methods for defect reconstruction from thermographic measurements of such carbon-fiber reinforced composites. The reconstruction results shall not only allow to locate defects, but also give a quantitative characterization of the defect properties. We discuss the simulation of the measurement process using finite element methods, as well as the experimental validation on flat bottom holes. Especially in pulse thermography, thin boundary layers with steep temperature gradients occurring at the heated surface need to be resolved. Here we use the combination of a 1D analytical solution combined with numerical solution of the remaining defect equation. We use the simulations to identify material Parameters from the measurements. Finally, fast heuristics for reconstructing defect geometries are applied to the acquired data, and compared for their accuracy and utility in detecting different defects like back surface defects or delaminations.zeige mehrzeige weniger

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Metadaten
Autor*innen:S. Götschel, Christiane MaierhoferORCiD, Jan P. Müller, Nick Rothbart, M. Weiser
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Graue Literatur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):19th World Conference on Non-Destructive Testing 2016
Jahr der Erstveröffentlichung:2016
Veröffentlichende Institution:Bundesanstalt für Materialforschung und -prüfung (BAM)
Herausgeber (Institution):Deutsche Gesellschaft für Zerstörungsfreie Prüfung (DGZfP)
Jahrgang/Band:2016
Erste Seite:Th.4.C.4-1
Letzte Seite:Th.4.C.4-10
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurwissenschaften und zugeordnete Tätigkeiten
Freie Schlagwörter:Active thermography; Numerical simulation; Thermal wave; Time-resolved thermogram
Veranstaltung:19th World Conference on Non-Destructive Testing 2016
Veranstaltungsort:München, Germany
Beginndatum der Veranstaltung:13.06.2016
Enddatum der Veranstaltung:17.06.2016
URN:urn:nbn:de:kobv:b43-366644
URL:https://www.wcndt2016.com/Programme/show/Th-4-C-4
Verfügbarkeit des Dokuments:Datei für die Öffentlichkeit verfügbar ("Open Access")
Lizenz (Deutsch):License LogoCreative Commons - Namensnennung-Keine Bearbeitung
Datum der Freischaltung:24.06.2016
Referierte Publikation:Nein
Schriftenreihen ohne Nummerierung:Wissenschaftliche Artikel der BAM
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