Correlation Between Hysteresis and Barkhausen Noise Parameters of Electrical Steels

Stupakov, O.; Perevertov, O.; Stoyka, V.; Wood, Roger

doi:10.1109/tmag.2009.2030415

Cited by 20 publications

(12 citation statements)

References 10 publications

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“…However, in contrast to the usual hysteresis loop, amplitude of the BN loop is not normalized in Y-axis and strongly depends on the experimental conditions. Therefore, the most useful and stable parameter is proved to be the BN coercivity, BN H c , which is introduced similarly to its hysteresis analog as an intersection of the BN loop with the field axis [9,10,15]. As seen from Fig.…”

Section: Resultsmentioning

confidence: 99%

“…[9,10]. The magnetically open samples were magnetized by a single Fe-Si yoke of the same 30 mm width with inner and outer pole distances of 50 and 110 mm.…”

Section: Magnetic Measurementsmentioning

confidence: 99%

“…The technique is surface sensitive, therefore, it is considered to be a promising candidate for characterization of the decarburization depth [8,9]. Our innovation for the common BN procedure, direct surface field control, makes it possible to introduce a new parameter, which is specially suitable for the considered task [9,10]. Influence of two industrial methods of decarburized surface treatment for the iron oxide removing was additionally investigated.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of surface decarburization depth by magnetic Barkhausen noise technique

Stupakov

Perevertov

Tomáš

et al. 2011

Journal of Magnetism and Magnetic Materials

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Section: Resultsmentioning

confidence: 99%

“…[9,10]. The magnetically open samples were magnetized by a single Fe-Si yoke of the same 30 mm width with inner and outer pole distances of 50 and 110 mm.…”

Section: Magnetic Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of surface decarburization depth by magnetic Barkhausen noise technique

Stupakov

Perevertov

Tomáš

et al. 2011

Journal of Magnetism and Magnetic Materials

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“…4a the local coercivity (h c ) can be found from the BN loops for each carbon steel sample. Local coercivity (h c ), also known as BN coercivity [28], has been shown to have strong correlations with bulk coercive force [28,29], energy loss [29], residual stress [30] and decarburization depth [27]. However, the correlation between h c and carbon content has not been investigated previously.…”

Section: Bn Loops and Local Coercivitymentioning

confidence: 99%

Multi-parameter Evaluation of Magnetic Barkhausen Noise in Carbon Steel

2016

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The sensitivity of magnetic Barkhausen noise to many factors has limited its potential application for basic material characterization and detection of residual stress in carbon steel, a common structural material. The present work investigates Barkhausen noise response in plain carbon steel under conditions of varying carbon content, applied elastic stress and different magnetization level. The surface Barkhausen noise measurement system uses a feedback for controlling the flux waveform, which facilitates reproducibility of measurements and also permits extraction of additional parameters from the B-H loop of magnetic circuit. Barkhausen noise parameters correlate with known material parameters, such as coercivity, which vary with carbon content and stress. These results demonstrate the potential for in-situ characterization of carbon steel.

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“…(1) Hysteresis losses are due to the steady losses of the Weiss domains and are supposed to depend on excitations and be independent of the structures and lamination thickness of iron cores; (2) on the contrary, eddy-current losses are due to the existence of eddy-currents and are affected by structures and lamination thickness, which affect the distribution and intensity of the eddy-current; (3) excess losses are due to dynamic losses of the Weiss domains caused by block walls' discontinuous movements with the production of the Barkhausen jumps [10,11]. Based on the above contents, the Steinmetz equation [1] was proposed a century ago and has been widely used for iron loss estimation under sinusoidal excitations.…”

Section: Introductionmentioning

confidence: 99%

Predicting Iron Losses in Laminated Steel with Given Non-Sinusoidal Waveforms of Flux Density

Chen

Huang

et al. 2015

Energies

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Abstract:In electrical machines, iron losses are essential for electromagnetic and thermal designs and analyses. Although many models have been proposed to predict iron losses in magnetic materials, the calculation of iron losses under non-sinusoidal excitations is still an open field. Most works concern the influences of the value, the change rate or the frequency of flux density in the frequency domain. In this paper, we propose an engineering model for predicting loss characteristics with given waveforms of flux density in the time domain. The characteristics are collected from the knowledge of the iron loss in a laminated ring-shaped transformer. In the proposed model, we derive mathematical formulas for exciting currents in terms of flux density by describing the function methods through multi-frequency tests with sinusoidal excitations. The non-linearity of the material is interpreted by branches of conductances accounting for hysteresis and eddy-current losses. Then, iron losses are calculated based on the law of conservation of energy. An experimental system was built to evaluate the magnetic properties and iron losses under sinusoidal and non-sinusoidal excitations. Actual measurement results verify the effectiveness of the proposed model.

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Correlation Between Hysteresis and Barkhausen Noise Parameters of Electrical Steels

Cited by 20 publications

References 10 publications

Evaluation of surface decarburization depth by magnetic Barkhausen noise technique

Evaluation of surface decarburization depth by magnetic Barkhausen noise technique

Multi-parameter Evaluation of Magnetic Barkhausen Noise in Carbon Steel

Predicting Iron Losses in Laminated Steel with Given Non-Sinusoidal Waveforms of Flux Density

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