Robot-assisted laser thermography - Towards automatic characterization of surface defects
- By means of laser thermography, surface defects, in particular surface breaking cracks, can be detected with high sensitivity. Basically, this requires a focused heat source (high-power laser), a thermographic camera and a relative movement between laser and test object, as well as a suitable evaluation algorithm to distinguish between surface defects and defect-free areas. In this paper we report on a method in which the relative motion is realised by a robot to fully inspect large and non-planar test objects such as rail sections, turbine blades, gears, etc. We show the influence of the excitation laser, which can be varied in terms of spot geometry, wavelength, and scan scheme, and we demonstrate our evaluation algorithms with the aim of automatically detecting surface defects.
Autor*innen: | Nelson Wilbur Pech MayORCiD |
---|---|
Weitere Person: | Philipp Daniel HirschORCiD, Julien LecompagnonORCiD, Mathias ZieglerORCiD |
Dokumenttyp: | Vortrag |
Veröffentlichungsform: | Präsentation |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2022 |
Organisationseinheit der BAM: | 8 Zerstörungsfreie Prüfung |
8 Zerstörungsfreie Prüfung / 8.3 Thermografische Verfahren | |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | Flying line thermography; Robot-assisted thermography; Surface breaking defects |
Themenfelder/Aktivitätsfelder der BAM: | Chemie und Prozesstechnik |
Veranstaltung: | 16th Quantitative Infrared Thermography Conference |
Veranstaltungsort: | Paris, France |
Beginndatum der Veranstaltung: | 04.07.2022 |
Enddatum der Veranstaltung: | 08.07.2022 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 26.08.2022 |
Referierte Publikation: | Nein |
Eingeladener Vortrag: | Nein |