EVALUATION OF SURFACE-MODIFIED MATERIALS BY MODEL-ASSISTED ANALYSES OF BARKHAUSEN EFFECT SIGNALS
Author(s) -
C. C. H. Lo,
Yantao Shen,
Donald O. Thompson,
Dale E. Chimenti
Publication year - 2009
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.3114110
Subject(s) - barkhausen effect , barkhausen stability criterion , signal (programming language) , materials science , spectral density , frequency domain , range (aeronautics) , acoustics , field (mathematics) , magnetic field , domain wall (magnetism) , surface (topology) , power (physics) , mechanics , computational physics , physics , computer science , mathematics , composite material , magnetization , mathematical analysis , geometry , telecommunications , thermodynamics , quantum mechanics , pure mathematics , programming language
Barkhausen effect (BE) measurements offer a useful technique for evaluation of surface conditions of magnetic materials. Theoretical analysis of BE signals has nevertheless remained a challenge due to a lack of adequate model description of the phenomenon. This paper presents model‐assisted analysis of BE signals with an aim of evaluating surface‐modified materials whose magnetic properties vary continuously with depth. The approach is based on an extended BE model which describes the signal power spectrum. In the extended model, the local fluctuation of pinning field and correlation length parameters, which characterize domain wall motion and hence the generation of BE signals, are related to the domain wall pinning strength which vary with depth as described in terms of a parametrized function. In this study, the BE signals measured over a broad frequency range from carburized steels and oxidized Ni97Al3 were analyzed using multiple frequency passbands to extract signals generated at different depths. D...
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