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Eingeladener Vortrag
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A novel approach for rating fatigue-initiating inclusions in highly demanding steel (INCAFAT)
(2018)
INCAFAT project aimed to improve existing fatigue damage models by establishing the most suitable combination of measurement techniques to characterise harmful inclusion populations in highly demanding steels. The different inclusion assessments carried out confirm that, chemical composition, secondary metallurgy and manufacturing route affect content, nature, size and shape of inclusions. According to the FEM model, inclusions produce an alteration of the stress field in their surrounding region, which can promote a fatigue failure. Experimental work on fatigue testing has demonstrated that depending on the stressed direction fatigue failures in highly demanding steels could be produced by different types of inclusions. Fractography analyses confirmed that meso-inclusions harmful in fatigue cannot be rated by standard methods, nor 10 MHz ultrasonic testing (macro) or micro-cleanness assessments. The necessity of rating these meso-inclusions has led to critical evaluation of Extreme Value Analysis according to ASTM E2283-08 and the development of high frequency immersion ultrasonic testing. EVA methodology based on inclusion width can be applied reliably when principal stress is parallel to the rolling direction. On the contrary, if inclusions are testing in the elongated directions its fails. On the other hand, the guidelines and recommendations for high frequency ultrasonic testing have been compiled in a new European standard draft. This method based on focal beam probes and high-resolution devices is able to provide information on meso-inclusion distribution.
Using the Modular Reliability Model the three different main influencing elements, i.e. intrinsic capability (IC), application parameters (AP) and the human factors (HF), are, in the first instance, investigated separately. The intrinsic capability stands for the pure physical-technological process of the signal detection caused by the waves or the rays from a material defect in the presence of noise (driven by the material and the devices). This intrinsic capability is the upper bound of the possible reliability. Already when measuring this intrinsic capability for thick walled components the original one-parameter POD must be extended to a multiparameter POD, where, in addition to the defect size, a number of additional physical parameters, such as the grain size distribution (or attenuation), defect depth, and angle or surface roughness, must be considered. For real life cycle assessments it is necessary to evaluate the signal response from real defects. The industrial application factors, e.g. coupling conditions, limited accessibility, heat and environmental vibrations, diminish the reliability. The amount of reduction can be determined quantitatively, if the underlying conditions are controlled. In case they are not controlled it is necessary to count for a fluctuation in the reliability in the field anyway. The third group of important influencing factors are the human factors, which do not only cover the individual performance capability of the inspectors but also the design of the working place,the procedure, the teamwork quality, interaction with systems, the organization, and finally, the relationship between the companies involved in the inspection process and to which extend the responsible parties are aware of it. When comparing an “ideal inspection” with a “real inspection” it is worth while to look how the existing practices, rules and standards support reliable testing and where the “delta” is. In the context of vigor, with respect to the industrial end user, it needs to be shown how the level of reliability of NDE, influenced by the different factors, has an impact on acceptance or rejection of safety critical parts.
Advantage of a combined ultrasonic and eddy current examination for railway inspection trains
(2007)
Some years ago, two railway inspection trains (RIT) already equipped with ultrasound, had additional advanced eddy current techniques installed. Recently, a new RIT was equipped with a system that was designed, from the beginning, to employ a combination of these two techniques for non-destructive rail inspection. The eddy current technique has been developed to enable identification and evaluation of rolling contact fatigue (RCF) defects. The ultrasound technique is aimed at measurements in the rail bulk volume, which are not feasible using the eddy current technique. Experience gained from application has shown that clear improvement on rail inspection can be achieved. For example, following Deutsche Bahn DB (German Rail) AG guideline, defects which are classified as group 2 using ultrasound testing can be further labelled as 'distinguished positions' if, for example, head checking can be identified in the same position using the eddy current technique. In other words, the new technique is capable of identifying two fundamentally different types of defects occurring at the same location. Such defects can then be classified as Group 1, equivalent according to the DB AG guideline. Furthermore, problem cases in the past, such as the decision whether a weld or rail joint is present for a fishing table, can be reliably determined using additional information from the eddy current technique. In this paper, examples will be provided to demonstrate application.
Aktuelle Entwicklungen der Wirbelstrom- und Ultraschallprüfung an verlegten Eisenbahnschienen
(2019)
Die kombinierte Schienenprüfung mit Wirbelstrom und Ultraschall ermöglicht eine ganzheitliche Detektion von Inhomogenitäten im Kopf und Steg der Schiene und gewährleistet das Auffinden sowohl von Volumen-als auch Oberflächeneffekten wie z. B. Head Checks. Für die verbesserte Detektion von Rollkontaktermüdung (rolling contact fatique, RCF) und den daraus resultierenden Schienenfehlern (Head-Checks, Squats, Riffel, …) wurde für die Wirbelstromprüfung der Prüfbereich auf die gesamte Rollkontaktfläche erweitert. Der Fokus liegt im Neudesign der Wirbelstrom-Prüfvorrichtung und der damit verbundenen normgerechten Auslegung der Konstruktion für die fahrzeugspezifischen Gegebenheiten. Ferner wurde die Anwendersoftware des kombinierten Prüfsystems vereinheitlicht. Um die wirtschaftliche Effektivität unsere Prüftechnik zu steigern, wird die Multiplex-Gerätetechnologie in die automatisierte Schienenprüfung eingeführt. Damit wird der freizuhaltende Einbauraum innerhalb der Fahrzeuge sowie Kabelwege deutlich reduziert. Durch den Übergang zu der Multiplextechnologie wurde weiterhin die Stromaufnahme um mehr als 50% reduziert.
In diesem Vortrag werden die aktuellen Techniken für die angewandte mechanisierte Schienenprüfung dargestellt und Perspektiven für die Zukunft der handgeführten und fahrzeuggeführten Prüftechnik aufgezeigt. Insbesondere wird hier die bildhafte Darstellung, der zusätzliche Nutzen von Arraysensoren sowie die Möglichkeiten der Simulation von Schienenfehlern vorgestellt.
Die wiederkehrende zerstörungsfreie Prüfung von längs gebohrten
Eisenbahnradsatzwellen mit Ultraschall erfolgt im eingebauten Zustand aus der Wellenbohrung heraus. Neben den aufzufindenden Fehleranzeigen erzeugt aufgrund der geometrischen Bedingungen der Radsatzwelle hierbei jeder Querschnittsübergang eine umlaufende Formanzeige in der Ergebnisdarstellung. Durch den Prozess des Aufschrumpfens der Radscheiben auf die Sitze können weiterhin örtlich statistisch verteilte Bereiche im Sitz entstehen, die bei der Ultraschallprüfung Anzeigen hervorrufen, die so genannten Scheinanzeigen. Insbesondere in den Bereichen der Querschnittsübergänge ist zum einen die Prüfsituation sehr komplex, zum anderen ist hier die Wahrscheinlichkeit für eine Rissbildung am höchsten. Bei der Befundanalyse stößt die derzeit verwendete Prüftechnik in diesen Bereichen an ihre Grenzen, so dass nicht immer eine eindeutige Prüfaussage erfolgen kann. Im Bericht werden Lösungsansätze für Analyseverfahren vorgestellt, die auf Basis der Gruppenstrahlertechnik bzw. mit Fokusprüfköpfen in Verbindung mit dem Einsatz von Signalverarbeitung vielversprechende Ergebnisse zur Optimierung dieser Situation aufzeigen.
This report describes the progress in understanding and describing the detectability of the ultrasonic inspection technique developed by SKB for the inspection of copper tubes used for the final disposal of the Swedish spent nuclear fuel. In former research activities dedicated to the different parts of the canister, the probability of detection (POD) evaluation technique, as developed for thin aircraft components, was further developed for the application on complex hick-walled components. The result of this development was the introduction of a “multi-parameter” POD framework. In contrast to taking only the defect size into consideration (as for aircraft components) additional influencing factors, relevant for thick components, such as depth position, orientation and part geometry, were included. Furthermore, the variation of ultrasonic attenuation due to various material properties was included.
Automated Wall Thickness Evaluation for Turbine Blades Using Robot-Guided Ultrasonic Array Imaging
(2024)
Nondestructive testing has become an essential part of the maintenance of modern gas turbine blades and vanes since it provides an increase in both safety against critical failure and efficiency of operation. Targeted repairs of the blade’s airfoil require localized wall thickness information. This information, however, is hard to obtain by nondestructive testing due to the complex shapes of surfaces, cavities, and material characteristics. To address this problem, we introduce an automated nondestructive testing system that scans the part using an immersed ultrasonic array probe guided by a robot arm. For imaging, we adopt a two-step, surface-adaptive Total Focusing Method (TFM) approach.
For each test position, the TFM allows us to identify the outer surface, followed by calculating an adaptive image of the interior of the part, where the inner surface’s position and shape are obtained. To handle the large volumes of data, the surface features are automatically extracted from the TFM images using specialized image processing algorithms. Subsequently, the collection of 2D extracted surface data is merged and smoothed in 3D space to form the outer and inner surfaces, facilitating wall thickness evaluation. With this approach, representative zones on two gas turbine vanes were tested, and the reconstructed wall thickness values were evaluated via comparison with reference data from an optical scan. For the test zones on two turbine vanes, average errors ranging from 0.05 mm to 0.1 mm were identified, with a standard deviation of 0.06–0.16 mm.