Sub-Surface analysis of grinding burns with Barkhausen noise measurements

A Sorsa, M Ruusunen, S Santa-Aho, M Vippola - Materials, 2022 - mdpi.com
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 …

Case depth prediction of nitrided samples with Barkhausen noise measurement

A Sorsa, S Santa-aho, C Aylott, BA Shaw, M Vippola… - Metals, 2019 - mdpi.com
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 …

An efficient procedure for identifying the prediction model between residual stress and Barkhausen noise

A Sorsa, K Leiviskä, S Santa-aho, M Vippola… - Journal of …, 2013 - Springer
Residual stress of case-hardened steel samples is predicted in this paper with the linear
multivariable regression model. The development of the prediction model is based on the …

[PDF][PDF] 基于磁巴克豪森噪声的S136 钢表面硬度定量预测模型对比

何存富, 蔡燕超, 刘秀成, 吴斌 - 机械工程学报, 2019 - qikan.cmes.org
表面硬度是铁磁性材料制造质量评价的重要指标, 其无损定量检测是该领域的研究热点.
为将磁巴克豪森噪声技术用于S136 表面硬度的无损定量检测, 利用实验室研制的磁巴克豪森 …

Prediction of residual stresses using partial least squares regression on Barkhausen noise signals

A Sorsa, A Isokangas, S Santa-aho, M Vippola… - Journal of …, 2014 - Springer
Residual stresses are quantitatively predicted based on the Barkhausen noise
measurement with a partial least squares regression model. The measurements are taken …

Surface Integrity Evaluation Based on Barkhausen Noise Analysis: A Conceptual Approach

J Lötfering, M Schrank, AK Rüppel, M Meurer, T Bergs - Procedia CIRP, 2024 - Elsevier
Destructive testing methods, such as Vickers hardness test or hole drilling methods for
residual stress evaluation have long been conventional approaches in manufacturing to …

[PDF][PDF] Comparative of models for quantitative prediction of surface hardness in S136 steel based on magnetic Barkhausen noise

何存富, 蔡燕超, 刘秀成, 吴斌 - Journal of Mechanical Engineering, 2019 - qikan.cmes.org
The surface hardness is important index for the manufacturing quality evaluation of
ferromagnetic materials and the non-destructively quantitative testing of surface hardness is …

Prediction of material properties based on non-destructive Barkhausen noise measurement

A Sorsa - 2013 - oulurepo.oulu.fi
Barkhausen noise measurement is an intriguing non-destructive testing method suitable for
ferromagnetic materials. It is based on the stochastic movements of magnetic domain walls …

Utilization of frequency-domain information of Barkhausen noise signal in quantitative prediction of material properties

A Sorsa, S Santa-aho, M Vippola, T Lepistö… - AIP Conference …, 2014 - pubs.aip.org
This paper describes different approaches for utilizing frequency-domain information of
Barkhausen noise (BN) signal in quantitative prediction of material properties. Different …

A Method of Barkhausen Noise feature extraction based on an adaptive threshold

C Hang, W Liu, P Wang - Applied Sciences, 2019 - mdpi.com
This paper reports on a new feature extraction method for detection of applied stress using
magnetic Barkhausen noise (MBN). Some previous methods for extracting MBN features …