2010
DOI: 10.1088/0957-0233/21/11/115702
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Multiparameter analysis of the Barkhausen noise signal and its application for the assessment of plastic deformation level in 13HMF grade steel

Abstract: The paper presents the results of multiparameter analysis of Barkhausen noise (BN) signal properties. In addition to the commonly used quantifiers of the BN signal, such as amplitude, integral of the BN envelope or results of pulse count analysis, we propose an additional analysis based on the change in magnetizing current amplitude. As it turns out the character of the change of the BN signal (as a function of the plastic deformation level) measured for various magnetizing currents differs significantly. Bein… Show more

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Cited by 24 publications
(22 citation statements)
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References 12 publications
(18 reference statements)
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“…Using an analogy with the hysteresis loss separation theory, we can assume that the f mag term would correspond to the excess loss having an important contribution to the BN activity [2], [6], [9]. The negative linear term could be connected with the eddy current damping, which should become a significant factor at f mag > 10 Hz, or with the BN pulse overlapping [4], [14]. The hypothesis of the eddy current influence is supported by the fact that the similar rms dependence for thinner strips of the softer electrical steels was well fitted with b = 0 [9].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Using an analogy with the hysteresis loss separation theory, we can assume that the f mag term would correspond to the excess loss having an important contribution to the BN activity [2], [6], [9]. The negative linear term could be connected with the eddy current damping, which should become a significant factor at f mag > 10 Hz, or with the BN pulse overlapping [4], [14]. The hypothesis of the eddy current influence is supported by the fact that the similar rms dependence for thinner strips of the softer electrical steels was well fitted with b = 0 [9].…”
Section: Resultsmentioning
confidence: 99%
“…During a century of discovery and research, it was proven to originate from irreversible domain wall motions [1]. However, there is still a noticeable lack of deep knowledge of main driving forces influencing the BN response [2]- [4]. Industrial applications of the BN technique for a non-destructive quality testing do not significantly contribute to better understanding and clearer interpretation of the BN results [5].…”
Section: Introductionmentioning
confidence: 99%
“…Naturally one has to take into account the fact that the curves are reversed, since the positive plastic deformation results in negative compressive stresses and vice versa. As for the central peak, in this region the overall BE intensity decreases for both deformation modes (even though the amplitudes behave in a J Nondestruct Eval (2017) 36 :10 different way) due the dislocation structure modificationthe changes in that region may be material dependent due to the differences in the dislocation structure of their initial state [4][5][6][7]. For the higher deformation levels the dislocation structure modification becomes less significant and being so the sigmoidal curve can be treated as a curve obtained for the material with high dislocation density subjected to elastic stress.…”
Section: Barkhausen Effect Signal Propertiesmentioning
confidence: 90%
“…Such attempts have been made yet, as it turned out, the observed dependence of the BE signal intensity on the deformation level is strongly material dependent-for the tensile deformation it can increase [4] for soft materials, such as e.g. Armco iron, decrease [5] for high strength martensitic steels, or behave in a nonmonotonic way [6,7] for the intermediate materials. Being so the assessment of the deformation level sometimes requires application of rather advanced signal analysis techniques.…”
Section: Introductionmentioning
confidence: 99%
“…are considered. In [8], the disadvantages of the methods of monitoring the technical state by separate parameters are presented. Advantages of using multivariable control are given.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%