1975
DOI: 10.1109/tmag.1975.1058960
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Spectral damping in Barkhausen noise

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Cited by 35 publications
(10 citation statements)
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“…When a ferromagnetic material is subjected to an external varying magnetic field, a voltage signal is induced in a pick-up coil due to changes in magnetisation of material caused by the discrete movement of magnetic domain walls overcoming various pinning sites in the material [1]. This phenomenon of electromagnetic activity known as Magnetic Barkhausen noise [1][2][3]. Jiles and Suominen [3] while working on assessment of micro-hardness and residual stress observed that the skin-depth of MBN at the same analyzing frequency decreases for materials having higher specific electric conductivity and relative permeability.…”
Section: Introductionmentioning
confidence: 99%
“…When a ferromagnetic material is subjected to an external varying magnetic field, a voltage signal is induced in a pick-up coil due to changes in magnetisation of material caused by the discrete movement of magnetic domain walls overcoming various pinning sites in the material [1]. This phenomenon of electromagnetic activity known as Magnetic Barkhausen noise [1][2][3]. Jiles and Suominen [3] while working on assessment of micro-hardness and residual stress observed that the skin-depth of MBN at the same analyzing frequency decreases for materials having higher specific electric conductivity and relative permeability.…”
Section: Introductionmentioning
confidence: 99%
“…The depth penetration of MBN signal is damped due to the skin effect, which is caused by the opposing eddy currents induced by the changing magnetic field. The damping of a noiselike signal as a Barkhausen noise, containing a spectral distribution of frequencies between f 1 and f 2 , can be described by a function of ( ) D x as described in Equation 3, where ( ) g f is the frequency spectrum of the captured signal within the selected frequency range, x is the depth of detection, / A πµ ρ = , µ is the permeability of the material and ρ is the electrical resistivity of the material 27,28 .…”
Section: Methodsmentioning
confidence: 99%
“…The Barkhausen noise signals were measured within a frequency range of 70-200 kHz using bandpass filtering with a sampling frequency of 2.5 MHz. The result of these measurement parameters is an approximate effective measurement depth of 25-50 µm [4].…”
Section: Methodsmentioning
confidence: 99%