Heat flow thermography for non-destructive testing of composites and natural materials – An application-oriented overview
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Jochen Aderhold
Jochen Aderhold studied physics at the Leibniz-Universität Hannover and obtained his PhD in the Department of Electrical Engineering at the Laboratory for Information Technology, also at the Leibniz-Universität. In 2003, he moved to the WKI, where he works on image processing in the infrared spectral range and on hyperspectral imaging.
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Peter Meinlschmidt
Peter Meinlschmidt earned his diploma in physics at the Carl-von-Ossietzky-Universität in Oldenburg and worked there for five years as a research assistant. For over twenty years he has been supervising research projects in the field of optical metrology and thermography at the WKI.
Friedrich Schlüter studied physics at the Carl-von-Ossietzky-Universität in Oldenburg and has been working at the WKI since 2001. His work focuses on non-destructive testing, in particular by means of thermography, as well as on 3D measuring technology and deformation measurement technology.
Abstract
Heat flow thermography is a non-destructive testing method that offers a number of advantages. These include the relatively quick inspection of larger areas, the ease of interpretation of the results and the absence of potential hazards such as ionizing radiation. The disadvantage is, depending on the application, its limited penetration depth. The present article explains the physical principles of the process and provides examples of concrete realizations, mainly in the field of composites and natural materials. One focus is on the evaluation of the acquired thermal images and image series, since they often contain more information than is visible at first glance, and a suitable post-processing of the data is the key to a successful application.
Zusammenfassung
Die Wärmefluss-Thermographie ist ein zerstörungsfreies Prüfverfahren, das eine Reihe von Vorteilen bietet. Dazu gehören die relativ schnelle Inspektion größerer Bereiche, die einfache Interpretation der Ergebnisse und das Fehlen potenzieller Gefahren wie ionisierender Strahlung. Nachteilig ist je nach Anwendung die begrenzte Eindringtiefe. Der vorliegende Artikel erklärt die physikalischen Prinzipien des Prozesses und liefert Beispiele für konkrete Umsetzungen, hauptsächlich im Bereich von Verbundwerkstoffen und Naturmaterialien. Ein Schwerpunkt liegt auf der Auswertung der aufgenommenen Wärmebilder und Bildserien, da diese oft mehr Informationen enthalten, als auf den ersten Blick erkennbar ist. Eine geeignete Nachbearbeitung der Daten ist der Schlüssel für eine erfolgreiche Anwendung.
About the authors
Jochen Aderhold studied physics at the Leibniz-Universität Hannover and obtained his PhD in the Department of Electrical Engineering at the Laboratory for Information Technology, also at the Leibniz-Universität. In 2003, he moved to the WKI, where he works on image processing in the infrared spectral range and on hyperspectral imaging.
Peter Meinlschmidt earned his diploma in physics at the Carl-von-Ossietzky-Universität in Oldenburg and worked there for five years as a research assistant. For over twenty years he has been supervising research projects in the field of optical metrology and thermography at the WKI.
Friedrich Schlüter studied physics at the Carl-von-Ossietzky-Universität in Oldenburg and has been working at the WKI since 2001. His work focuses on non-destructive testing, in particular by means of thermography, as well as on 3D measuring technology and deformation measurement technology.
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© 2020 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Editorial
- Modern non-destructive testing
- Beiträge
- Ellipsometric inline inspection of dielectric substrates with nonplanar surfaces
- Laser-Doppler-Vibrometrie an dynamischen Strukturen von Windenergieanlagen
- Optical coherence tomography for non-destructive testing
- Heat flow thermography for non-destructive testing of composites and natural materials – An application-oriented overview
- Micromagnetic materials characterization using machine learning
- Application of the total focusing method for quantitative nondestructive testing of anisotropic welds with ultrasound
Articles in the same Issue
- Frontmatter
- Editorial
- Modern non-destructive testing
- Beiträge
- Ellipsometric inline inspection of dielectric substrates with nonplanar surfaces
- Laser-Doppler-Vibrometrie an dynamischen Strukturen von Windenergieanlagen
- Optical coherence tomography for non-destructive testing
- Heat flow thermography for non-destructive testing of composites and natural materials – An application-oriented overview
- Micromagnetic materials characterization using machine learning
- Application of the total focusing method for quantitative nondestructive testing of anisotropic welds with ultrasound
