Case Depth Prediction of Nitrided Samples with Barkhausen Noise Measurement

Aki Sorsa, Suvi Santa-aho, Christopher Aylott, Brian Shaw, Minnamari Vippola, Kauko Leiviskä

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

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 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.
Original languageEnglish
Article number325
Number of pages14
JournalMetals
Volume9
Issue number3
DOIs
Publication statusPublished - 14 Mar 2019
Publication typeA1 Journal article-refereed

Keywords

  • Barkhausen noise
  • magnetic methods
  • Material characterization
  • nitriding
  • mathematical modelling
  • Signal processing

Publication forum classification

  • Publication forum level 1

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