Datei im Netzwerk der BAM verfügbar ("Closed Access")
Filtern
Dokumenttyp
- Zeitschriftenartikel (16)
- Beitrag zu einem Tagungsband (13)
- Buchkapitel (1)
- Beitrag zu einem Sammelband (1)
- Vortrag (1)
Schlagworte
- GMR (8)
- Magnetic flux leakage (3)
- Microstructure (3)
- Neutron diffraction (3)
- Non-destructive testing (3)
- Residual stress (3)
- Directivity (2)
- Ferroelectret (2)
- GMR sensor (2)
- Low carbon steel (2)
Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (3)
- 8.4 Akustische und elektromagnetische Verfahren (3)
- 5 Werkstofftechnik (2)
- 5.2 Metallische Hochtemperaturwerkstoffe (2)
- 9 Komponentensicherheit (2)
- 5.1 Mikrostruktur Design und Degradation (1)
- 7 Bauwerkssicherheit (1)
- 7.1 Baustoffe (1)
- 8.5 Röntgenbildgebung (1)
- 9.2 Versuchsanlagen und Prüftechnik (1)
Eingeladener Vortrag
- nein (1)
The metal magnetic memory (MMM) technique relies on the measurement of stress-induced self-magnetic leakage fields (SMLFs) at the stress concentration zones (SCZs) of ferromagnetic materials during mechanical loading. However, there is an associated change in geometry of the specimen along with the stress due to plastic deformation. This paper presents a three-dimensional finite element (3D-FE) analysis of the stress-induced geometry effect on SMLFs in notched specimens during tensile deformation. The tangential (Hx) and normal (Hy) components of the SMLF signals have been predicted from the deformed specimens caused by different levels of tensile stress. Key parameters from the SMLF signals are determined for the possible estimation of damage in the specimen under tension. Studies reveal that the stress-induced geometry effect has a great influence (about 20%) on the SMLF signals, especially in the plastic deformation stage. The results show that the peak amplitude could be used for the estimation of different deformation stages under tension. The study also reveals that the SMLF signal is influenced by the thickness of the tensile specimen. The model-predicted thickness profile has also been experimentally validated.
Die Messung spontaner magnetischer Streufelder ferromagnetischer Materialien wird als neue, Metal Magnetic Memory (MMM) genannte, Methode der zerstörungsfreien Prüfung (ZfP) angesehen, Schädigungen frühzeitig vorherzusagen. Die MMM Methode versucht, die sich gleichzeitig mit der Schadensentwicklung ausbildende lokale magnetische Struktur für die ZfP zu nutzen und zwar schon vor der eigentlichen Rissinitiierung. Das zugehörige Regelwerk ISO 24497 verspricht neben der Detektion von Mikrorissen und Inhomogenitäten des Werkstoffgefüges auch die Bestimmung des (Eigen-) Spannungszustandes. Neue, an der Bundesanstalt für Materialforschung und -prüfung für die ZfP angepasste GMR (Giant Magneto Resistance)-Sensorik erlaubt Magnetfeldmessungen mit einer Ortsauflösung im Mikrometerbereich. Mit höherer Ortsauflösung zeigen sich Unterschiede, jedoch keine Widersprüche zu bisher publizierten Daten. Ihnen wesentlich ist, dass es einige verwertbare Hinweise auf einen Zusammenhang von Restfeldmagnetisierung und Materialeigenschaften gibt.
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.
This study examines the relationship between the magnetic mesostructure with the microstructure of low carbon steel tungsten inert gas welds. Optical microscopy revealed variation in the microstructure of the parent material, in the heat affected and fusion zones, correlating with distinctive changes in the local magnetic stray fields measured with high spatial resolution giant magneto resistance sensors. In the vicinity of the heat affected zone high residual stresses were found using neutron diffraction.
Notably, the gradients of von Mises stress and triaxial magnetic stray field modulus follow the same tendency transverse to the weld. In contrast, micro-X-ray fluorescence characterization indicated that local changes in element composition had no independent effect on 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.
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.
We present an all-purpose crack detection algorithm for flying spot thermography which is directly applicable to a thermogram sequence without the need of any additional information about the experimental setup. A single image containing distinct crack signatures is derived in two steps. Firstly, the spatial derivative is calculated for each frame of the sequence and, secondly, the resulting data set is sorted pixel wise along the time axis. The feasibility of the proposed procedure is proven by testing a piece of rail that comprises roll contact fatigue cracks and by comparing the results with magnetic particle testing.
In this article, we present a measurement procedure to gain information about depth and angle of surface braking cracks. The method is based on a local excitation with, e.g., a laser. The resulting surface temperature is recorded with an infrared camera. Based on this data, crack-caused anisotropies in the lateral heat flow can be detected and exploited to characterise the cracks. The experimental set-up is based on a Nd:YAG laser for heating and a high-speed infrared camera (InSb FPA, 3 to 5 µm) providing a frame rate of up to 500 Hz. Up to now, only qualitative information was gained from measurements of this type, whereas the local transient behaviour of temperature distribution provides also quantitative information of the crack parameters. Using FEM simulation we can show herein that it is possible to simultaneously resolve the angle and depth and, in particular, the depth of non-perpendicular cracks.
The paper presents numerical methods to detect and classify defects and inhomogeneities by means of active thermography. The objective is to determine the wall thickness of structure elements with an inaccessible back wall, for example, of pipes or Containers. As test specimens we used approximately 2 cm thick PVC samples with spatial variations in the back wall geometry. Flash lamps provided the heating. To know the thickness of the wall, we used two inversion methods and compared the results achieved. One is an iterative echo defect shape method and already tested on Steel test specimens with good reconstruction results. The second one is the Levenberg-Marquardt method, applied here to thermographic data for non-destructive testing. Since data capturing using active thermography and the presented numerical methods can easily be automated, the combination of these two procedures is a promising approach providing a broad area of application.
The paper presents a numerical method to detect and characterise defects and inhomogeneities by means of active thermography. The objective was to determine the wall thickness of structure elements with an inaccessible back wall, e.g., elements of pipes or containers. As test specimens we used PVC samples with the thickness of about 2 cm that had spatial variations in the back wall geometry. Flash lamps provided the heating. To measure the thickness of the wall, we employed the LevenbergMarquardt method, which we applied here to experimental thermographic data for non-destructive testing. We started the inversion procedure by making a rough first estimation of the back wall geometry following the echo defect shape method, and then we calculated the thickness of the back wall. We found reasonable reconstruction results which differed from the real value significantly below 1 mm at the defect centre, whereas the error wais increased at the edge of the defect, depending on its shape and depth.