Feature extraction and evaluation for quantitative prediction of hardness in bearing steel based on magnetic Barkhausen noise

C Hang, W Liu, G Dobmann, W Chen, P Wang, K Li - NDT & E International, 2023 - Elsevier
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 …

Magnetic evaluation of Bauschinger effect in marine engineering steels

P Vourna, ND Papadopoulos, K Argiris, PP Falara… - NDT & E …, 2023 - Elsevier
In the present study, the association between the magnetic behavior of steels the
Bauschinger effect was evaluated. For this reason, three different grades of steel were …

[HTML][HTML] Multi-instrumental approach to domain walls and their movement in ferromagnetic steels–Origin of Barkhausen noise studied by microscopy techniques

S Santa-aho, M Honkanen, S Kaappa, L Azzari… - Materials & Design, 2023 - Elsevier
Two steels, ferrite and ferrite-pearlite were thoroughly characterized by a multi-instrumental
microscopy techniques to get detailed information about their microstructure and magnetic …

Magnetic incremental permeability of elastically deformed Iron and Nickel

AN Stashkov, EA Schapova, AP Nichipuruk… - Journal of …, 2024 - Springer
The field dependences of the signal of induction transducer U~(H), proportional to the
magnetic incremental permeability, have been measured on nickel and iron subjected to …

Magnetic domain walls interacting with dislocations in micromagnetic simulations

S Kaappa, S Santa-aho, M Honkanen… - Communications …, 2024 - nature.com
Defects, impurities, and embedded particles in ferromagnetic materials are long known to be
responsible for the Barkhausen effect due to the jerky field-driven motion of domain walls …

Surface decarburization depth detection in rods of 60Si2Mn steel with magnetic Barkhausen noise technique

P Li, X Wang, D Ding, Z Gao, W Fang, C Zhang, C He… - Sensors, 2023 - mdpi.com
Magnetic Barkhausen noise (MBN), sensitive to the microstructure of materials, can be
applied in the surface decarburization depth detection of ferromagnetic specimens …

Barkhausen noise in disordered striplike ferromagnets: Experiment versus simulations

D Spasojević, M Marinković, D Jovković, S Janićević… - Physical Review E, 2024 - APS
In this work, we present a systematic comparison of the results obtained from the low-
frequency Barkhausen noise recordings in nanocrystalline samples with those from the …

Abnormal signals elimination in hardness evaluation using Barkhausen noise and tangential magnetic field

C Hang, W Liu, G Dobmann, W Chen, L Li… - Journal of …, 2023 - Springer
In this paper, magnetic Barkhausen noise (MBN) and tangential magnetic field (TMF) are
employed to quantitatively predict the hardness of bearing steel GCr15. In order to solve the …

Classification of process conditions in martensitic stainless steel: A machine learning approach on magnetic Barkhausen emission signals

M Mohan, MM Ramya - Journal of Applied Physics, 2022 - pubs.aip.org
Sorting of materials at different stages of manufacturing processes is very important to
ensure the final product quality. In this paper, the machine learning algorithms are used on …

[HTML][HTML] Magnetic domain wall dynamics studied by in-situ Lorentz microscopy with aid of custom-made Hall-effect sensor holder

M Honkanen, H Lukinmaa, S Kaappa, S Santa-Aho… - Ultramicroscopy, 2024 - Elsevier
We built a custom-made holder with a Hall-effect sensor to measure the single point
magnetic flux density inside a transmission electron microscope (TEM, JEM-F200, JEOL) …