Grinding burn detection is essential for metallic components manufacturing because
grinding burn not only reduces the functional performance and fatigue life but also affects …

The aim of this study is to predict residual stress and hardness of a case-hardened steel
samples based on the Barkhausen noise measurements. A data-based approach for …

In this paper, magnetic Barkhausen noise (MBN) is employed to quantitatively predict the
hardness of GCr15 bearing steel. Firstly, to thoroughly investigate the relationship between …

Time-frequency methods are effective tools in identifying the frequency content of a signal
and revealing its timevariant features. This paper presents the use of instantaneous features …

As an emerging green technology, remanufacturing has received increasing attention
worldwide due to its energy-saving and waste-reducing benefits in manufacturing …

Artificial thermal damage to gear steel material was produced using two heating methods:
induction heating and laser irradiation. In the present work, the aim was to obtain in-depth …

Both magnetic Barkhausen noise (MBN) and tangential magnetic field (TMF) strength can be
applied in the quantitative prediction of surface hardness of ferromagnetic specimens. The …

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 …

Grinding is usually done in the final finishing of a component. As a result, the surface quality
of finished products, eg, surface roughness, hardness and residual stress, are affected by …

In this study, Barkhausen noise (BN) magnetizing voltage sweep (MVS) measurement is
used to evaluate non-destructively the surface residual stress state of hardened …