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Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (235) (entfernen)
Eingeladener Vortrag
- nein (122)
Die Schwerpunktthemen für die Forschung der BAM im Bereich der zerstörungsfreien Prüfung werden vorgestellt. Es stehen die aktuellen Forschungsprojekte der Fachbereiche 8.1 bis 8.7 der Abteilung 8 und des Arbeitsgebietes Probabilistische Sicherheits- und Zuverlässigkeitsanalysen von Frau Dr. Bertovic sowie der Nachwuchsgruppe von Frau JProf. Dr. Kruschwitz im Vordergrund.
Crack detection in metallic samples at high surface temperature, hostile and hazardous environments, etc. is challenging situation in any manufacturing industries. Most of the present NDE methods are suitable only for lower surface temperatures, especially room temperature. In this situation, we need a fast and non-contact NDT method which can be applied even in high sample surface temperature. Laser thermography is one of the techniques having a high potential in non-contact inspection. As a preliminary investigation, in this article, we have studied the potentiality of laser line thermography in crack detection at room temperature. In laser line thermography, a continuous wave (CW) laser is used to generate a laser line, which in turn is used to scan the metal surface. The heat distribution over the sample surface is recorded by an infrared thermal (IR) camera. Two different approaches are reported in this work. Firstly, a stationary laser line source and its interaction with cracks; secondly, moving laser line source scanning over a surface with crack. When the distance between crack centre to laser line centre increases, crack detectability will decrease; and when laser power increases, crack detectability will increase. A dedicated image processing algorithm was developed to improve the detectability of the cracks. To understand the heat transfer phenomenon, a simplified 3D model for laser thermography was developed for the heat distribution during laser heating and was validated with experimental results. Defects were incorporated as a thermally thin resistive layer (TTRL) in numerical modeling, and the effect of TTRL in heat conduction is compared with experimental results.
Die thermografische ZfP basiert auf der Wechselwirkung von thermischen Wellen mit Inhomogenitäten. Diese Inhomogenitäten hängen mit der Probengeometrie oder der Materialzusammensetzung zusammen. Obwohl die Thermografie für ein breites Spektrum von Inhomogenitäten und Materialien geeignet ist, ist die grundlegende Einschränkung die diffuse Natur der thermischen Wellen und die Notwendigkeit, ihre Wirkung lediglich an der Probenoberfläche radiometrisch messen zu können. Die Ausbreitung der thermischen Wellen von der Wärmequelle über die Inhomogenität zur Detektionsoberfläche führt zu einer Verschlechterung des räumlichen Auflösungsvermögens der thermografischen Technik. Ein neuer konzertierter Ansatz auf Basis einer räumlich strukturierten Erwärmung und einer Joint Sparsity des Signalensembles ermöglicht eine verbesserte Rekonstruktion von Inhomogenitäten.
Im Beitrag wird die Implementierung dieses Ansatzes auf Basis einer strukturierten Beleuchtung mit einem 1D-Laser-Array vorgestellt. Die einzelnen Emitterzellen des Laser-Arrays werden durch ein pseudozufälliges Binärmuster gesteuert und zusätzlich leicht verschoben. Die wiederholte Messung dieser verschiedenen Konfigurationen bei gleichzeitig konstanter Inhomogenität ermöglicht eine Rekonstruktion der Inhomogenität unter Ausnutzung der Joint Sparsity.
Photothermal radiometry with an infrared camera allows the contactless temperature measurement of multiple surface pixels simultaneously. A short light pulse heats the sample. The heat propagates through the sample by diffusion and the corresponding temperature increase is measured at the samples surface by an infrared camera. The main drawback in radiometric imaging is the loss of the spatial resolution with increasing depth due to heat diffusion, which results in blurred images for deeper lying structures. We circumvent this information loss due to the diffusion process by using blind structured illumination, combined with a non-linear joint sparsity reconstruction algorithm.
X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. This study Shows how a simple artificial neural network model can be used to determine the thickness, roughness and density of thin films of different organic semiconductors [diindenoperylene, copper(II) phthalocyanine and alpha-sexithiophene] on silica from their XRR data with millisecond computation time and with minimal user input or a priori knowledge. For a large experimental data set of 372 XRR curves, it is shown that a simple fully connected model can provide good results with a mean absolute percentage error of 8–18% when compared with the results obtained by a genetic least mean squares fit using the classical Parratt formalism. Furthermore, current drawbacks and prospects for improvement are discussed.
Historians and librarians are interested in watermarks and mould surface patterns in historic papers, because they represent the “fingerprints” of antique papers. However, these features are usually covered or hidden by printing, writing or other media. Different techniques have been developed to extract the watermarks in the paper while avoiding interference from media on the paper. Beta radiography provides good results, but this method cannot be widely used because of radiation safety regulations and the long exposure times required due to weak isotope sources employed. In this work, two promising methods are compared which can be used to extract digital high-resolution images for paper watermarks and these are electron radiography and low energy X-ray radiography. For electron radiography a “sandwich” of a lead sheet, the paper object, and a film in a dark cassette, is formed and it is exposed at higher X-ray potentials (> 300 kV). The photoelectrons escaping from the lead sheet penetrate the paper and expose the film. After development, the film captures the watermark and mould surface pattern Images for the paper being investigated. These images are then digitized using an X-ray film digitizer. The film employed could potentially be replaced by a special type of imaging plate with a very thin protection layer to directly generate digital Images using computed radiography (CR). For the second method, a low energy X-ray source is used with the specimen paper placed on a digital detector array (DDA). This method directly generates a low energy digital radiography (DR) image. Both methods provide high quality images without interference from the printing media, and provide the potential to generate a “fingerprint”
database for historical papers. There were nevertheless found to be differences in the images obtained using the two methods.
The second method, using a low energy X-ray source, has the potential to be integrated in a portable device with a small footprint incorporating user safety requirements. Differences obtained using the two methods are shown and discussed.
The separation of two closely located defects in fields of Thermographic NDE is very challenging. The diffusive nature of thermal waves leads to a fundamental limitation in spatial resolution. Therefore, super resolution image reconstruction can be used.
The measured thermal waves can be transformed to virtual (ultrasound) waves that can be processed by applying ultrasound reconstruction algorithms and finally the super resolution algorithm. Otherwise, it is also possible to make use of a Fourier transform with a subsequent super resolution routine.
These super resolution thermographic image reconstruction techniques in post-processing are discussed and evaluated regarding performance, accuracy and repeatability.
Wir laden zum Trainingsworkshop Datenanalyse ein. Angetrieben durch die Digitalisierung und die sogenannte Industrie 4.0 steigt die Erwartungshaltung gegenüber der Nutzung von Daten. Die Unsicherheit, Widersprüchlichkeit und Redundanz separat verarbeiteter einzelner Quellen soll durch die synergetische Zusammenführung heterogener Datensätze überwunden werden. Dabei steht der zunehmenden Aufgabenkomplexität eine ebenso zunehmende Verfügbarkeit an Daten und Analyseverfahren gegenüber.
Der Workshop vermittelt ein konzeptionelles Verständnis für moderne Datenanalyseverfahren (Machine Learning (ML), Multivariate Statistik) und soll durch ein anschließendes Hands-On Training mit Python (https://www.python.org) einen einfachen Einstieg in die Thematik ermöglichen. Der Kurs richtet sich an den wissenschaftlichen Nachwuchs.
Die herkömmliche Bildgebung mit Röntgenstrahlung beruht auf unterschiedlicher Absorption durch verschiedene Materialien im Volumen eines Körpers. Es entsteht ein "Massebild". Die hier vorgestellten Verfahren benutzen die Brechung und Beugung von Röntgenstrahlen, um innere Oberflächen oder die Molekulartextur von Materialien und Bauteilen abzubilden. Im Vortrag werden die entsprechenden Messtechniken an der BAM im Labormaßstab sowie an Großforschungseinrichtungen vorgestellt und anhand einiger Anwendungsbeispiele die zusätzlichen Informationen zur herkömmlichen Durchstrahlung diskutiert.
Composite pressure vessels for transporting dangerous goods and for hydrogen and natural gas vehicles consist of a load-bearing composite and a gas-tight, metallic or polymeric barrier layer (liner). To investigate the aging behavior of such composite pressure vessels, BAM carried out the interdisciplinary project COD-AGE. The aim of the project was the development of methods and models for the description and determination of the aging behavior of carbon fiber composites using the example of pressure vessels in order to better predict aging and safe working life. One focus of this project was the provision of suitable NDT methods. These included both test-related tests and the possible development of test equipment for later practical use.
In the lecture, test results of the age-related eddy current test on composite pressure vessels are presented.
In aging tests, pressure vessels made of an approximately 4 mm thick aluminum liner and approx. 8 mm thick CFRP layer were examined. Typical application of such pressure vessels are respiratory protective devices of the fire department. The pressure vessels were tested using conventional eddy current technology from the outer and inner side as well as with high-frequency eddy current technology. Both damage to the metallic liner and structures of the CFRP could be detected. A particular mechanical challenge was the inspection of the inside of the liners, since a cylindrical surface with an inside diameter of 150 mm has to be tested with an access of only 15 mm diameter.
Rail inspection performed by ultrasonic rail inspection trains is a complex and challenging process. A large number of variables and parameters given by the environment, the track and the testing-system have an influence on the overall performance of the inspection and the inspection result. Typically the parameter vary in a combination depending on the track condition.
To evaluate the individual influence of each relevant variable, simulation tools can be used. Therefore the entire inspection process has to be transferred into a model using combined modelling techniques.
The goal of this work is to model an instrumented ultrasonic test run with a rail inspection train with the parameters varied by a script over a virtually driven distance.
aRTist is an easy-to-use and practical simulation tool to generate realistic radiographic images from CAD objects. A dedicated add-on module makes CT simulation easy (virtual computer tomography). Just choose the number of projections.
Unlike in the practice, simulation can separately image the primary and scatter radiation. This allows studying the scattering artefacts in CT (gray-level variations in regions of homogeneous material).
Es wurden Prüfkörper aus additiver Fertigung mittels Laser Sinter Verfahren (Polyamid 12, PA 12) und Fused Layer Modeling (Acrylnitril-Butadien-Styrol, ABS) sowie Prüfkörper aus dem Kunststoff-Spritzguss Verfahren (PA 12 und ABS) über 2000 Stunden künstlich bewittert. Vor, während und nach der Bewitterung erfolgte eine zerstörungsfreie Prüfung mittels Thermografie, optischer Mikroskopie und spektralen Methoden (UV/VIS-Spektroskopie und spektrale Reflexion), um den Alterungsfortschritt zu untersuchen und Schäden durch die künstliche Bewitterung sowie eingedruckte Defekte zu identifizieren und zu detektieren.
Zusätzlich wurden zerstörende Zugprüfungen vorgenommen, welche mit einer IR-Kamera verfolgt wurden. Auf diese Weise konnten lokale Temperaturänderungen, hervorgerufen durch elastische sowie plastische Verformungen, zeitaufgelöst erfasst und ausgewertet werden.
Additively manufactured test specimens made of polyamide 12 (PA 12) by Laser Sintering as well as of acrylonitrile butadiene styrene (ABS) by Fused Layer Modelling, were characterised with active thermography directly after manufacturing and after artificial weathering. For this, two different excitation methods (flash and pulse heating) were used and compared, regarding their suitability for the detection of constructed and imprinted defects inside the test specimens. To increase the quality of the thermograms, data processing methods like thermal signal reconstruction (TSR) and Fourier Transformation after TSR were applied. To further investigate the long-term stability of the additively manufactured test specimens towards environmental stress, like UV radiation, heat, humidity, water contact and frost with active thermography, an artificial weathering test over 2000 hours (~3 months) was applied to the specimens. The monitoring of the changes in the optical properties of the weathered plastics was supplemented by spectral reflectance and UV/VIS spectroscopy.
In traditional NDT, human is seen as the main source of error. The advances in NDT 4.0 lead to believe that by increased automation, people, and therefore human error, can be diminished. The research on human-automation interaction shows that increased automation does not necessarily lead to a decrease of human error, a phenomenon dubbed as “automation ironies”, introduced by Bainbridge in 1987. The research shows that whereas with automation the known human error can be prevented, there is still room for new risks and error sources, which are unknown. As we advance from automation to industry 4.0 concepts, the possibility for human error shifts slightly to the developers of systems but remains in the interaction with systems as well, as the tasks and task demands change and give rise for possible failure at different stages of the NDT process, as once known.
In der traditionellen zerstörungsfreien Prüfung wird der Mensch als Hauptfehlerquelle angesehen. Die Fortschritte bei der zerstörungsfreien Prüfung 4.0 lassen vermuten, dass durch eine verstärkte Automatisierung Menschen und damit menschliche Fehler verringert werden können. Die Untersuchung der Mensch-Automatisierungs-Interaktion zeigt, dass eine zunehmende Automatisierung nicht unbedingt zu einer Verringerung des menschlichen Fehlers führt, ein Phänomen, das 1987 von Bainbridge als „Automatisierungs-Ironien“ bezeichnet wurde. Die Untersuchungen zeigten, dass obwohl bei der Automatisierung bekannte menschliche Fehler verhindert werden können, gibt es noch Raum für neue Risiken und Fehlerquellen, die unbekannt sind. Während wir von der Automatisierung zu Industrie-4.0-Konzepten übergehen, verlagert sich die Möglichkeit menschlicher Fehler geringfügig auf die Entwickler von Systemen, bleibt jedoch auch in der Interaktion mit Systemen erhalten, da sich die Aufgaben und Aufgabenanforderungen ändern und es zu möglichen Fehlern in verschiedenen Phasen von ZfP-Prozessen kommen kann.
It is known that human factors (HF) affect the reliability of non-destructive testing (NDT). However, reliability is often expressed in probability of detection (POD) curves, obtained in practical trials, where human and organisational factors are considered only indirectly, through the few people taking part in the trials. Recently, we have observed an increase in the use of numerical modelling to obtain POD curves outside of practical trials. The so-called model-assisted POD(MAPOD) approaches have so far only very rarely included some kind of variation to account for HF. This talk presents different possibilities to include HF in MAPOD and discusses the advantages and disadvantages of each approach.
This presentation discusses industry 4.0 from the perspective of human machine interaction (HMI). Based on available literature the changes, new demands and possible problems related to people’s jobs as a result of increased digitisation and use of artificial intelligence are addressed. Combining literature with own experience in non-destructive testing (NDT), the author addresses the possible challenges and chances for the NDT personnel in the era of NDT 4.0.
Im weitverbreiteten Fall der thermografischen ZfP sollen Defekte im Probeninneren detektiert werden. Da diese eine Inhomogenität darstellen, genügt jegliche Mess- und Datenverarbeitungstechnik, die diese Inhomogenität als Kontrast in der transienten Temperaturverteilung herausarbeitet. Ein üblicher Ansatz ist eine extrem kurze und intensive Blitzlampenbeleuchtung zusammen mit einer nachträglichen Fourier-Transformation zu verwenden. Für die zusätzliche Tiefenbestimmung werden entweder rein phänomenologische Ansätze, semi-analytische Ansätze mit Kalibrationsmessungen oder Fits an analytische bzw. numerische Modelle verwendet. Ein üblicher semi-analytischer Ansatz ist z.B. die Analyse des Abknickens der transienten Abkühlkurve. Problematisch ist das schnelle Abklingen der Amplitude auf Rauschniveau und damit die inhärente Beschränkung der Tiefenreichweite. Eine äquivalente Beschreibung der Wärmeleitung ist über sehr stark gedämpfte thermische Diffusionswellen möglich. Die Eindringtiefe ist dann gleich der thermischen Diffusionslänge. Der semi-analytische Ansatz über normales Least-Squares-Fitting funktioniert für 1D-Schicht-Systeme sehr gut, versagt aber für höherdimensionale Messprobleme. Genau hier setzt eine seit Kurzem bekannte Transformation der diffusen Temperaturentwicklung (bzw. des Realteils der Diffusionswelle) in eine propagierende virtuelle Temperaturwelle an. Dieses sog. Virtual-Wave-Konzept stellt sich selbst als ein weiteres inverses Problem dar. Der Nutzen dieser in einer linearen virtuellen Zeitdomäne propagierenden Welle überkompensiert den numerischen Mehraufwand jedoch deutlich. Zusammen mit neuen Technologien in der Erwärmung durch Hochleistungs-Laser-Arrays und in der Datenakquisition durch kHz-Kameras erlaubt dieser Ansatz eine signifikante Verbesserung der Tiefenreichweite in der Impuls-Thermografie. Im Beitrag werden experimentelle Ergebnisse an einer additiv hergestellten Metallprobe mit überdeckten Schlitzen vorgestellt, die eine Detektion dieser Defekte bis zu einem Seitenverhältnis von Defektbreite/Defekttiefe ~ 0,25 erlauben, also ca. 4 mal tiefer als die übliche Faustformel.