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In unserer heutigen Zeit werden die Zwischenräume innerhalb der einzelnen Abteilungen eines Betriebs und zwischen einzelnen nationalen oder globalen Akteuren immer wichtiger: Produzierbarkeit vs. Wirtschaftlichkeit, Fortschritt vs. Nachhaltigkeit. Auch die zerstörungsfreie Prüfung (ZfP) – bisher hauptsächlich als Endkontrolle oder Wartungselement wahrgenommen – kann und sollte im Wandel der Digitalisierung und Industrie 4.0 einen neuen Stellenwert erhalten.
Die ZfP kann schon während der Konstruktion helfen, sichere und zuverlässige Produkte zu erstellen. Jedoch müssen dafür eine adäquate Informationskultur und die notwendigen Kennzahlen vorhanden sein. Objektive, probabilistische Kennzahlen (wie die POD - Auffindwahrscheinlichkeit) sind hierbei der Schlüssel. Diese müssen jedoch unbedingt an Prüfverfahren, Prüfgegenstand und Prüfbedingung angepasst werden, da sonst die gesamte Aussage in Frage zu stellen ist. Im Vortrag werden Beispiele aus der Anwendung gezeigt, die die Aussagekraft der Kennzahl aber auch die Sorgfalt, mit denen die einzelnen Aussagen genutzt werden, unterstrichen werden soll. Bewertung von Daten von realen Fehler, Anpassung an die Bruchfestigkeit und die Betrachtung von mehreren Prüfparametern am Beispiel der Bewertung von radiographischen, Ultraschall- und Wirbelstromprüfung werden in dem Vortrag gezeigt.
Dass die Zuverlässigkeit der ZfP eine sehr wichtige Rolle bei der Bewertung sicherheitsrelevanter Systeme spielt, ist bekannt. Laut dem modularen Zuverlässigkeitsmodell für zerstörungsfreie Prüfprozesse hängt die Zuverlässigkeit von der innewohnenden (physikalisch-technischen) Fähigkeit der Prüfsystems, den Anwendungsparametern, den menschlichen Faktoren und dem organisatorischen Kontext ab. Seit Einführung des Modells während des ersten Workshops zur Zuverlässigkeit der ZfP (European-American Workshop on Reliability of NDE) wurde das Modell in weiteren fünf Workshops stetig weiterentwickelt, diskutiert und an den Stand der Wissenschaft angepasst. Das Ziel dieser Publikation ist es, den aktuellen Stand der Diskussion und die neusten Fragestellungen der internationalen Zuverlässigkeitsgemeinschaft vorzustellen. Im Einzelnen werden die Entwicklung fortgeschrittener Modelle zur Bewertung der Probability of Detection (POD), Bewertungsansätze im Bereich Structural Health Monitoring und Fragestellungen zu den menschlichen Faktoren dargestellt. Besonderer Wert wurde sowohl auf die Entwicklung, als auch auf die Anwendung der Ansätze in der industriellen Praxis gelegt.
Currently at Deutsche Bahn (DB) ultrasonic inspections in maintenance procedures for wheelset axles with a bore hole are, to the greatest possible extent, carried out using automated ultrasonic inspection system. Although the acceptance levels are in accordance with DIN 27201 part 7, the testing results have shown in recent years that in the case of true indications, the effective defect sizes were far below the level of acceptance. Due to this experience it can be assumed that the automated ultrasonic inspection systems are testing substantially more sensitively than required. This increased sensitivity leads to an increase in false indications, generally resulting in the unnecessary demounting of wheelsets. In Research cooperation between Federal Institute for Materials Research and Testing (BAM) and DB the effective flaw detection sensitivity of existing automated ultrasonic inspection system will be determined and the true/false indication ratio optimised. Through systematic investigations with the Probability of Detection method on the existing automated ultrasonic inspection system the results could be directly applied to the optimisation of existing ultrasonic inspections of wheelset axles with a bore hole in maintenance procedures and the level of reliability can be considerably increased.
The General Guidance in the Swedish regulations state that the safety assessment for a final repository for spent nuclear fuel should be 1 million years after closure. SKB developed the KBS-3 method, according to which the spent nuclear fuel is protected by three barriers. It is encapsulated in canisters with a diameter of 1 metre and a length of 5 metres. The canister consists of a cast iron insert surrounded by a 5 centimetre thick shell of copper. The canisters are disposed in the bedrock at a depth of about 500 meters surrounded by bentonite clay. In order to assess the safety over this extremely long period, an extensive quality control programme is applied to the canisters before deposit. In this programme, the use of
non-destructive testing (NDT) is vital. The safety assessment of the canister in turn places high demands on the coverage, detectability, and reliability of the applied NDT inspections of the canister parts, i.e. cast iron insert, copper base, tube and lid, and the copper friction stir welds (FSW). This paper presents the extensive full-scale inspection development programme that runs at the Canister Laboratory in Oskarshamn (Sweden). In order to fulfil the high demands, phased array ultrasonic inspection techniques are developed using practical trials aided by ultrasonic modelling. The techniques apply, for example, different frequencies, inspection angles, focus depths, and both longitudinal and shear waves. Increased inspection reliability of the FSW is achieved by applying digital X-ray technique using a 9 MeV linear accelerator and a line detector. To complete the coverage, complementary surface inspections methods, i.e. eddy current array, magnetic flux sensor techniques and magnetic particle inspection, are applied. The canister safety assessment was the driving force to include reliability studies during the NDT development. Initially, the technical reliability was considered, resulting in development of advanced POD models (probability of detection). In combination with human factors studies, these models were implemented as tools in the development of the NDT techniques. Human factors studies were also applied to improve the inspection procedures to be more user-friendly enabling reliable inspections.
Reliability analysis of the ultrasonic inspection system for the inspection of hollow railway axles
(2016)
Axles are safety critical train components that are subjected to significant cyclic loading during operation. If the crack is initiated in the axle, cyclic loading will lead to crack propagation. To maintain structural integrity, axles must be periodically inspected for fatigue cracks in the material. Deutsche Bahn uses mechanized ultrasonic inspection system to inspect hollow railway axles. The inspections are performed from the bore surface, using several conventional transducers with different incident angles, inspecting the axle along the entire length. As with the every safety critical system, the reliability of these inspections must be determined with regard to their flaw detection capabilities. Traditionally this is done according to the relevant standards for railway vehicles. To investigate the capability of the NDT system more thoroughly, we want to evaluate the capability of the inspection system to detect flaws by means of probability of detection (POD) curves. It will be shown that other parameters, beside the size of the crack, for example crack position in the axle, influence the detection of the crack. The influence of these parameters was evaluated using ultrasonic simulation. The evaluation served as an input for the manufacturing of the flaws in the real scale axle. Once these axles are inspected and the data evaluated, using data from both measurement and simulation, we will express the POD of the crack as function of influencing parameters using the multiparameter POD model.
The canister for the permanent storage of spent nuclear fuel used by SKB in Sweden consists of a cast iron insert surrounded by a five centimetre thick shell of copper. It is a safety critical component and in order to secure long-term structural integrity non-destructive methods are used to inspect 100% of the volume of each canister, before it is disposed of in the repository. One of the critical components that requires inspection is a sealing weld, joining the copper tube and the lid. The friction stir weld is inspected using an ultrasonic phased array system. The area of the weld is inspected with several inspection channels with different angles and varying coverage. To make sure that no defects that might occur in the weld are overseen, the reliability of the inspection must be quantified. The reliability of NDT is usually quantified with the probability of detection curves. The influence of the parameters that might influence the POD of the flaws in the weld is investigated analysing the experimental results, as well as with a help of a numerical simulation of the inspection.