Statistical Evaluation of Barkhausen Noise Testing (BNT) for Ground Samples

Tomkowski, Robert; Sorsa, Aki; Santa-aho, Suvi; Lundin, Per; Vippola, Minnamari

doi:10.3390/s19214716

Cited by 9 publications

(1 citation statement)

References 12 publications

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“…Thus, more complex model structures could lead to more accurate results. Nevertheless, the uncertainty involved with BN measurement can be high [32] and thus simpler model structures should be preferred.…”

Section: Conclusion and Further Researchmentioning

confidence: 99%

Sub-Surface Analysis of Grinding Burns with Barkhausen Noise Measurements

et al. 2022

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Barkhausen noise (BN) measurements are commonly used for surface characterisation. However, often there is also a need to verify the sub-surface region because detrimental tensile stresses may be present after different manufacturing steps. Especially in a grinding burn, the surface stress may be compressive, but it changes quickly into tensile stress below the surface. The aim of this study was to find out whether regular surface-sensitive BN measurement is also sensitive to the stresses below the surface caused by grinding burns. More specifically, the aim was to study the relationship between BN features and sub-surface stresses and to identify a model that estimates sub-surface stresses. Real samples were collected from an actual process. The samples were cylindrical samples manufactured from commercial alloyed AISI/SAE L6 steel that was through-hardened prior to grinding. Barkhausen noise measurements were carried out for 42 grinding burn locations followed by X-ray diffraction-based residual stress surface measurements and residual stress depth profiles. Depth information was obtained through step-by-step electrolytic removal of thin layers. The stress profiles were pre-processed through interpolation and averaged stress was calculated as a function of depth below the surface. Correlation analysis was carried out to evaluate the relationships between BN features and stress at different depths and among BN features. The main outcome of the analysis was that BN measurement is dominated by the sub-surface tensile stresses rather than the compressive stress at the surface. It was also noticed that BN features form two groups, corresponding to average Barkhausen activity and magnetising field strength leading to maximum Barkhausen activity. Models for stress at different steps were identified systematically. The performance of the models for sub-surface stresses was reasonable with R2 values of around 0.85 and root mean squared error (RMSE) values of around 95 MPa. Based on the results, it is concluded that BN measurement provides information about sub-surface stresses and that stress can be evaluated through straightforward modelling, allowing fast detection of grinding burns.

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Section: Conclusion and Further Researchmentioning

confidence: 99%