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On the role of magnetic field intensity for better micro-structural characterization during Barkhausen Noise analysis

dc.contributor.authorYusufzai, M.Z.K.
dc.contributor.authorVashista, M.
dc.date.accessioned2021-02-11T10:40:45Z
dc.date.available2021-02-11T10:40:45Z
dc.date.issued2018-05-01
dc.description.abstractBarkhausen Noise analysis is a popular and preferred technique for micro-structural characterization. The root mean square value and peak value of Barkhausen Noise burst are important parameters to assess the micro-hardness and residual stress. Barkhausen Noise burst can be enveloped using a curve known as Barkhausen Noise profile. Peak position of profile changes with change in micro-structure. In the present work, raw signal of Barkhausen Noise burst was obtained from Ni based sample at various magnetic field intensity to observe the effect of variation in field intensity on Barkhausen Noise burst. Raw signal was opened using MATLAB to further process for microstructure analysis. Barkhausen Noise analysis parameters such as magnetizing frequency, number of burst, high pass and low pass filter frequency were kept constant and magnetizing field was varied in wide range between 200 Oe to 1200 Oe. The processed profiles of Barkhausen Noise burst obtained at various magnetizing field intensity clearly reveals requirement of optimum magnetic field strength for better characterization of micro-structure. © Published under licence by IOP Publishing Ltd.en_US
dc.description.sponsorshipBanaras Hindu University Indian Institute of Technology Mandien_US
dc.identifier.issn17578981
dc.identifier.urihttps://idr-sdlib.iitbhu.ac.in/handle/123456789/1311
dc.language.isoen_USen_US
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofseriesIOP Conference Series: Materials Science and Engineering;Vol. 346, Issue 1
dc.subjectBarkhausen Noiseen_US
dc.subjectSignal Processingen_US
dc.subjectMagnetizing field strengthen_US
dc.titleOn the role of magnetic field intensity for better micro-structural characterization during Barkhausen Noise analysisen_US
dc.typeArticleen_US

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