Influence of the maximum applied magnetic field on the angular dependence of Magnetic Barkhausen Noise in API5L steels

Martínez-Ortiz, P.; Benítez, José Alberto Pérez; Espina-Hernández, J.H.; Caleyo, F.; Mehboob, Nasir; Größinger, R.; Hallen, J.M.

doi:10.1016/j.jmmm.2015.10.036

Cited by 19 publications

(9 citation statements)

References 21 publications

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“…Regardless of the approach finally applied, the named factors that define anisotropy are not the only ones that affect the course of angular characteristics of the MBN. The measurement conditions also have a significant impact on the effectiveness of anisotropy detection and measurement sensitivity, as presented and discussed in [31]. Similar observations were made in [23], where the need to maintain a constant value of magnetic flux density was underlined.…”

Section: Introductionsupporting

confidence: 67%

“…Moreover, this increase in activity is most visible on the presented spectrograms near the central part of the entire MBN signal period. From extensive research reported in the literature, RMA has a particular impact on activity in this area [25,30,31]. This would indicate the greatest impact of RMA on the distribution of resultant anisotropy and the occurrence of the easy magnetization axis.…”

Section: Feature Formulamentioning

confidence: 99%

“…Its purpose is to divide a single burst into bands (sections) defined in relation to the magnetization period or magnetic field level. An example of such an approach was presented in [25,30,31]. In those works, the area of greatest MBN activity (referred to main MBN peak) was associated by authors with the motion of 180 • DWs referring to the effect of roll magnetic anisotropy (RMA).…”

Section: Introductionmentioning

confidence: 99%

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Use of Time-Frequency Representation of Magnetic Barkhausen Noise for Evaluation of Easy Magnetization Axis of Grain-Oriented Steel

Maciusowicz

Psuj

2020

Materials

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The paper presents a new approach to non-destructive evaluation of easy/hard magnetization axis in grain-oriented SiFe electrical steels based on the Barkhausen phenomenon and its time-frequency (TF) characteristics. Anisotropy in steels is influenced by a number of factors that formulate the global relationship and affect the Barkhausen effect. Due to the observed high variability in the dynamics of magnetic Barkhausen noise (MBN) over time, obtained for various directions in grain-oriented steel, it becomes justified to conduct MBN signal analyses in the time-frequency domain. This representation allows not only global information from MBN signal over entire period to be expressed, but also detailed relationships between properties in time and in frequency to be observed as well. This creates the opportunity to supplement the information obtained. The main aspect considered in the work is to present a procedure that allows an assessment of the resultant angular characteristics in steel. For this purpose, a sample of a conventional grain-oriented SiFe sheet was used. Measurements were made for several angular settings towards the rolling and transverse directions. A data transformation procedure based on short-time Fourier transform (STFT) as well as quantitative analysis and synthesis of information contained in the TF space was presented. Angular characteristics of selected TF parameters were shown and discussed. In addition, an analysis of the repeatability of information obtained using the proposed procedure under various measurement conditions was carried out. The relationship between the selection of calculation parameters used during transformation and the repeatability of the obtained TF distributions were demonstrated. Then the selection of the final values of the calculation parameters was commented upon. Finally, the conclusions of the work carried out were discussed.

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Section: Introductionsupporting

confidence: 67%

Section: Feature Formulamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Use of Time-Frequency Representation of Magnetic Barkhausen Noise for Evaluation of Easy Magnetization Axis of Grain-Oriented Steel

Maciusowicz

Psuj

2020

Materials

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“…The observed courses of the angular characteristics are probably the effect associated with megnetocrystalline distribution under the low magnetizing field conditions. Under such conditions, the Barkhausen phenomenon is mainly influenced by 180 • domain walls, and as the value of the field used increases, the contribution of nucleation of reverse domains and the 90 • domain wall motion increases [43]. However, this observation should still be confirmed with additional experiments.…”

Section: Evaluation Of Anisotropymentioning

confidence: 93%

Time-Frequency Analysis of Barkhausen Noise for the Needs of Anisotropy Evaluation of Grain-Oriented Steels

Maciusowicz

Psuj

2020

Sensors

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The paper presents a new approach to obtain information on magnetic anisotropy in Si–Fe grain oriented ferromagnetic steel based on the observation of the magnetic Barkhausen noise (MBN). Until now, in the literature one can only notice the MBN study of magnetic anisotropy in steels carried out in a single time or frequency domain. However, due to the observed high variability of the dynamics of the MBN phenomenon over its occurrence period, depending on the steel properties, the idea of utilization of combined time and frequency representations to obtain new or supplementary information arises. For this purpose, the MBN phenomenon was observed in various directions for steels with oriented magnetic properties. Then, using the short-time Fourier transform, time-frequency (TF) distributions were determined and features vectors enabling the quantification of crucial information were determined. Before performing the final experiments, a series of tests were carried out for different measuring conditions. As a result, it was possible to adjust the conditions enabling us to obtain the highest possible sensitivity for MBN and discrimination level between directional properties in the material. Then, an algorithm of detailed analysis and division of the TF representation into subranges was proposed, enabling the extraction of more detailed information about the phenomena occurring during the magnetization process. This allowed us to clearly indicate and then separate three areas of MBN main activity. Finally, the obtained angular distributions of selected features were presented and discussed, and further conclusions were given.

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“…3). Such finding, suggesting that the observed RMS signal of BN is preferentially driven by other factors than the crystallographic texture of material, must be however taken with caution due to the known sensitivity of the azimuthal course of BN RMS signal to the excitation field strength [6].…”

Section: Anisotropy Of Magnetic Barkhausen Noise and Influence Of Coamentioning

confidence: 99%

Microstructure, Texture, and Magnetic Properties of GOES

et al. 2018

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A series of Fe3Si grain oriented electric steel samples are investigated as a function of grain size and the level of perfection of the dominating Goss texture. Characterization of morphology, crystallographic texture and magnetic properties is performed by light microscopy, scanning electron microscopy, electron backscatter diffraction, neutron diffraction and magnetic Barkhausen noise methods. The experiments are conducted on the "as fabricated" specimens and then on the specimen sheets with the protective coating removed. Juxtaposition of the obtained results provides information about the complex links between the texture, microstructure, and the resulting magnetic properties of the specimens observed at different excitation conditions.

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Influence of the maximum applied magnetic field on the angular dependence of Magnetic Barkhausen Noise in API5L steels

Cited by 19 publications

References 21 publications

Use of Time-Frequency Representation of Magnetic Barkhausen Noise for Evaluation of Easy Magnetization Axis of Grain-Oriented Steel

Use of Time-Frequency Representation of Magnetic Barkhausen Noise for Evaluation of Easy Magnetization Axis of Grain-Oriented Steel

Time-Frequency Analysis of Barkhausen Noise for the Needs of Anisotropy Evaluation of Grain-Oriented Steels

Microstructure, Texture, and Magnetic Properties of GOES

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