Detection of Decarburising Depth in Hadfield Steels Using a Multi-magnetic NDE Method

Kahrobaee, Saeed; Akhlaghi, Iman Ahadi; Davis, Claire; Zhou, Lei

doi:10.1080/10589759.2022.2038150

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…Common decarburization detection methods, such as metallographic analysis or microhardness measurement, are destructive, time-consuming, and cannot be applied in online processing. Over the past ten years, the feasibility of measuring decarburization with nondestructive testing (NDT) methods has been investigated, such as eddy current (EC) [ 3 , 4 , 5 ], magnetic hysteresis curve [ 6 , 7 ], and magnetic Barkhausen noise (MBN) [ 8 , 9 , 10 ]. A ferrite layer on a ferrite-70% pearlite structure in AISI 1055 steel was determined with a normalized impedance of EC signals.…”

Section: Introductionmentioning

confidence: 99%

“…A similar microstructural change had also been detected using the MBN technique [ 5 ]. Kahrobaee et al measured the decarburization depth of Hadfield steels with three NDT methods and found that magnetic flux leakage had a better linear relationship with decarburization depth compared with the magnetic hysteresis curve and EC method [ 7 ]. Among those NDT methods, the MBN technique is sensitive to surface microstructure [ 11 ] and contains lots of magnetic features [ 12 ]; therefore, it is a promising candidate for the characterization of the decarburization depth.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Surface Decarburization Depth Detection in Rods of 60Si2Mn Steel with Magnetic Barkhausen Noise Technique

Wang

Ding

et al. 2023

Sensors

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Magnetic Barkhausen noise (MBN), sensitive to the microstructure of materials, can be applied in the surface decarburization depth detection of ferromagnetic specimens. However, the effects of core microstructures on the determination results of decarburization depth have not been explored. In this study, MBN was employed to evaluate the magnetic properties of the decarburized 60Si2Mn spring steels with martensitic and pearlitic core microstructures. Spring steel samples were austenitized at different times to generate different decarburization depths. Seven magnetic features were extracted from the MBN butterfly profiles. We used the variation coefficient, linear correlation coefficient, and normalized sensitivity to discuss the influence of the core microstructures on these seven features. The different core microstructures led to a large difference in the ability of MBN features to characterize the decarburization layer depth. However, three features of MBN butterfly profiles demonstrated an approximately linear dependency (linear correlation coefficient > 94%) on surface decarburization depth and monotonically increased with the increase in depth in both core microstructures of spring steels.

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