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Evaluation of high spatial resolution imaging of magnetic stray fields for early damage detection
(2016)
Metal magnetic memory (MMM) technique with associated ISO 24497-1:3 is gaining considerable interest in the magnetic NDT community. In contrast to traditional Magnetic Flux Leakage (MFL) testing, the inspection objects are not intentionally magnetized by an external magnetic field. Due to the physical coupling between mechanical stress and magnetization of ferromagnetic materials, it is assumed that the distribution of the residual MFL correspond to the internal stress of the specimen, or in the most general sense, to a degradation of the material.
Usually, MMM measurements are performed by relatively bulky magnetic inspection sensors. The evaluation of local magnetic field distribution is limited thereby. Highprecision GMR (Giant Magneto Resistance) measurements in the micrometer regime can provide a higher degree of information due to better spatial resolution.
We present a concise summary of studies on the correlation of magnetic structure and microstructure of steels. In particular, we compare residual stress measurements in S235JRC steel welds by means of neutron diffraction with high resolution magnetic field mappings. Results indicate a qualitative correlation between residual stresses and local stray field variation. In addition, stray field measurements of plastically deformed specimens for quasi-static and cyclic loading cases are discussed. The present study concludes that GMR sensors can detect inhomogeneous plastic deformations of S235JR steel in a very early stage, without specific signal processing according to the ISO 24497-1:3.
The measurement of spontaneous magnetic stray fields of ferromagnetic materials is considered as a new method of non-destructive testing, the Metal Magnetic Memory method. Usually fluxgate sensors with spatial resolution in the order of a few millimeters are used as receivers. This contribution discusses the application of GMR (Giant Magneto Resistance) sensors with a spatial resolution in the micrometer range. Studies reveal that GMR sensors can detect clear demarcated plastic deformations in S235JR steel. Furthermore we present high spatial resolution magnetic measurements of deformation induced martensite formation of AISI 304 metastable austenitic steel for different deformation states.
Characterization of residual stress state by neutron diffraction and residual magnetic field mapping
(2016)
Based on the residual stress characterization of tungsten inert gas welded S235JRC+C plates by means of neutron diffraction, the evaluation of residual stress with high spatial resolution GMR (giant magneto resistance) sensors is discussed. The experiments performed indicate a correlation of residual stress changes and local residual magnetic stray fields.
The residual stress distribution of tungsten inert gas welded S235JRC+C plates was determined by means of neutron diffraction(ND). Large longitudinal residual stresses with maxima around 600 MPa were found. With these results as reference, the evaluation of residual stress with high spatial resolution GMR (giant magneto resistance) sensors was discussed. The experiments performed indicate a correlation between changes in residual stresses (ND) and the normal component of local residual magnetic stray fields (GMR). Spatial variations in the magnetic field strength perpendicular to the welds are in the order of the magnetic field of the earth.
Evaluation of high spatial resolution imaging of magnetic stray fields for early damage detection
(2017)
The paper discusses the evaluation of elastic and plastic strain states in two low-carbon steels of the same steel group with high spatial resolution GMR (giant magneto resistance) sensors. The residual stress distributions of tungsten inert gas welded plates were determined by means of neutron diffraction as a reference. The normal component of local residual magnetic stray fields arise in the vicinity of the positions of maximum stress. The experiments performed on flat tensile specimen indicate that the boundaries of plastic deformations are a source of stray fields. The spatial variations of magnetic stray fields for both the weld and the tensile samples are in the order of the earths magnetic field.
Giant magneto-resistive (GMR) sensor based metal magnetic memory (MMM) technique is proposed for mapping of deformation-induced self-magnetic leakage fields (SMLFs) in carbon steel. The specimens were subjected to different amounts of tensile deformation and the deformation-induced SMLFs were measured using a GMR sensor after unloading the specimens. 3D-nonlinear finite element modeling was performed to predict stress–strain state in a steel specimen under tensile load. The experimentally obtained SMLF images were correlated with the finite element model predicted stress–strain states. Studies reveal that the MMM technique can detect the plastic deformation with signal-to-noise ratio better than 20 dB. The technique enables the mapping of plastic deformation in carbon steels for the evaluation of the severity of deformation. The study also reveals that deformation-induced SMLF is influenced by the presence of initial surface residual stress, introduced by shot peening. The intensity of SMLF signal is found to increase with increase in tensile load and decrease with shot peening.
This talk presents a new application for high-spatial resolution eddy current testing (ET) with magneto resistive (MR) sensor arrays. With rising popularity and availability of additive manufacturing (AM), companies mainly in the aerospace sector, set high requirements on quality control of AM parts, especially produced with selective laser melting (SLM). Since it was shown that those parts are prawn to flaws like pores or cracks, every part needs to be tested. Therefore, NDT Methods, like ET, could help to characterize SLM parts. Research on ET has shown, that offline ET with high spatial resolution MR sensor arrays is possible and that flaws as small as 50 µm could be detected while significantly reducing testing time. In this talk a first approach on automated online ET method for testing SLM parts is proposed. An approach with hundreds of MR sensor is made to maintain spatial resolution and short testing times. Classic signal conditioning methods are used to reduce cost and complexity while maintaining high testing bandwidths. The proposed idea enables further research on automated generation of testing reports, process control or automated flaw curing.
Additive Fertigung hat in den letzten Jahren aufgrund der hohen Flexibilität stark an Bedeutung gewonnen. Insbesondere in der Luft- und Raumfahrttechnik werden hohe Anforderungen an die Qualitätskontrolle additiv gefertigter Bauteile gestellt. Teile die mit dem selektiven Laserschmelzen (SLM) hergestellt werden, bilden schon währen des Fertigungsprozesses Poren oder Risse aus. Aus diesem Grund ist die zerstörungsfreie Prüfung jedes Bauteils notwendig. Erste Versuche haben gezeigt, dass die ex-situ Wirbelstromprüfung von SLM-Bauteilen mit hochauflösenden MR Sonden möglich ist und dass Fehler im Bereich von einiger µm detektiert werden können. In dem Vortrag wird eine automatisierte in-situ Wirbelstromprüfung von SLM-Bauteilen vorgestellt. Für die Prüfung wird eine Vielzahl hochauflösender MR Sensoren verwendet, um die benötige hohe Ortsauflösung bei gleichzeitig kurzer Prüfzeit zu erreichen. Zusätzlich werden klassische Methoden der Signalverarbeitung verwendet, um die Kosten und die Komplexität des Systems trotz hoher Prüffrequenz zu minimieren. Das vorgestellte System kann in der Zukunft helfen automatisiert Prüfberichte zu generieren, den SLM-Prozess zu kontrollieren oder automatisiert Fehlstellen auszuheilen.
Additive Fertigung hat in den letzten Jahren aufgrund der hohen Flexibilität stark an Bedeutung gewonnen. Insbesondere in der Luft- und Raumfahrttechnik werden hohe Anforderungen an die Qualitätskontrolle additiv gefertigter Bauteile gestellt. Teile die mit dem selektiven Laserschmelzen (SLM) hergestellt werden, bilden schon währen des Fertigungsprozesses Poren oder Risse aus. Aus diesem Grund ist die zerstörungsfreie Prüfung jedes Bauteils notwendig. Erste Versuche haben gezeigt, dass die ex-situ Wirbelstromprüfung von SLM-Bauteilen mit hochauflösenden MR Sonden möglich ist und dass Fehler im Bereich von einiger µm detektiert werden können. In dem Vortrag wird eine automatisierte in-situ Wirbelstromprüfung von SLM-Bauteilen vorgestellt. Für die Prüfung wird eine Vielzahl hochauflösender MR Sensoren verwendet, um die benötige hohe Ortsauflösung bei gleichzeitig kurzer Prüfzeit zu erreichen. Zusätzlich werden klassische Methoden der Signalverarbeitung verwendet, um die Kosten und die Komplexität des Systems trotz hoher Prüffrequenz zu minimieren. Das vorgestellte System kann in der Zukunft helfen automatisiert Prüfberichte zu generieren, den SLM-Prozess zu kontrollieren oder automatisiert Fehlstellen auszuheilen.