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Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurement

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Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurement. / Sorsa, Aki; Santa-aho, Suvi; Aylott, Christopher; Shaw, Brian; Vippola, Minnamari; Leiviskä, Kauko.

In: Metals, Vol. 9, No. 3, 325, 14.03.2019.

Research output: Contribution to journalArticleScientificpeer-review

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Sorsa, Aki ; Santa-aho, Suvi ; Aylott, Christopher ; Shaw, Brian ; Vippola, Minnamari ; Leiviskä, Kauko. / Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurement. In: Metals. 2019 ; Vol. 9, No. 3.

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@article{1c6b5d2477514f89819da25962793161,
title = "Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurement",
abstract = "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 werestudied. 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.",
keywords = "Barkhausen noise, magnetic methods, Material characterization, nitriding, mathematical modelling, Signal processing",
author = "Aki Sorsa and Suvi Santa-aho and Christopher Aylott and Brian Shaw and Minnamari Vippola and Kauko Leivisk{\"a}",
year = "2019",
month = "3",
day = "14",
doi = "10.3390/met9030325",
language = "English",
volume = "9",
journal = "Metals",
issn = "2075-4701",
publisher = "MDPI",
number = "3",

}

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TY - JOUR

T1 - Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurement

AU - Sorsa, Aki

AU - Santa-aho, Suvi

AU - Aylott, Christopher

AU - Shaw, Brian

AU - Vippola, Minnamari

AU - Leiviskä, Kauko

PY - 2019/3/14

Y1 - 2019/3/14

N2 - 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 werestudied. 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.

AB - 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 werestudied. 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.

KW - Barkhausen noise

KW - magnetic methods

KW - Material characterization

KW - nitriding

KW - mathematical modelling

KW - Signal processing

U2 - 10.3390/met9030325

DO - 10.3390/met9030325

M3 - Article

VL - 9

JO - Metals

JF - Metals

SN - 2075-4701

IS - 3

M1 - 325

ER -