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Case depth prediction of nitrided samples with Barkhausen noise measurement

Lookup NU author(s): Christopher Aylott, Professor Brian Shaw

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Nitriding is a heat treatment process that is commonly used to enhance the surface properties of ferrous components. Traditional quality control uses sacrificial pieces that are destructively evaluated. However, efficient production requires quality control where the case depths produced are non-destructively evaluated. In this study, four different low alloy steel materials were studied. Nitriding times for the samples were varied to produce varying case depths. Traditional Barkhausen noise and Barkhausen noise sweep measurements were carried out for non-destructive case depth evaluation. A prediction model between traditional Barkhausen noise measurements and diffusion layer hardness was identified. The diffusion layer hardness was predicted and sweep measurement data was used to predict case depths. Modelling was carried out for non-ground and ground samples with good results.


Publication metadata

Author(s): Sorsa A, Santa-Aho S, Aylott C, Shaw BA, Vippola M, Leiviska K

Publication type: Article

Publication status: Published

Journal: Metals

Year: 2019

Volume: 9

Issue: 3

Online publication date: 14/03/2019

Acceptance date: 10/03/2019

Date deposited: 23/04/2019

ISSN (electronic): 2075-4701

Publisher: MDPI AG

URL: https://doi.org/10.3390/met9030325

DOI: 10.3390/met9030325


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