Flux controlled magnetic barkhausen noise measurements on grain oriented electrical steels

2012 ◽  
Author(s):  
Arash A. Samimi ◽  
Thomas W. Krause ◽  
Lynann Clapham
Keyword(s):  
Barkhausen Noise ◽  
Magnetic Barkhausen Noise ◽  
Electrical Steels ◽  
Noise Measurements

scholarly journals Identification of Grain Oriented SiFe Steels Based on Imaging the Instantaneous Dynamics of Magnetic Barkhausen Noise Using Short-Time Fourier Transform and Deep Convolutional Neural Network

Materials ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 118
Author(s):  
Michal Maciusowicz ◽  
Grzegorz Psuj ◽  
Paweł Kochmański
Keyword(s):  
Fourier Transform ◽  
Barkhausen Noise ◽  
Magnetic Barkhausen Noise ◽  
Short Time Fourier Transform ◽  
Deep Convolutional Neural Networks ◽  
Electrical Steels ◽  
New Approach ◽  
Time Frequency ◽  
Short Time

This paper presents a new approach to the extraction and analysis of information contained in magnetic Barkhausen noise (MBN) for evaluation of grain oriented (GO) electrical steels. The proposed methodology for MBN analysis is based on the combination of the Short-Time Fourier Transform for the observation of the instantaneous dynamics of the phenomenon and deep convolutional neural networks (DCNN) for the extraction of hidden information and building the knowledge. The use of DCNN makes it possible to find even complex and convoluted rules of the Barkhausen phenomenon course, difficult to determine based solely on the selected features of MBN signals. During the tests, several samples made of conventional and high permeability GO steels were tested at different angles between the rolling and transverse directions. The influences of the angular resolution and the proposed additional prediction update algorithm on the DCNN accuracy were investigated, obtaining the highest gain for the angle of 3.6°, for which the overall accuracy exceeded 80%. The obtained results indicate that the proposed new solution combining time–frequency analysis and DCNN for the quantification of information from MBN having stochastic nature may be a very effective tool in the characterization of the magnetic materials.

Magnetic Barkhausen Noise Measurements to Assess Temper Embrittlement in HY-80 Steels

2020 ◽  
Vol 56 (3) ◽  
pp. 1-8
Author(s):  
Aroba Saleem ◽  
P. Ross Underhill ◽  
Shannon P. Farrell ◽  
Thomas W. Krause
Keyword(s):  
Temper Embrittlement ◽  
Barkhausen Noise ◽  
Magnetic Barkhausen Noise ◽  
Noise Measurements

Detection of stress concentrations around a defect by magnetic Barkhausen noise measurements

1996 ◽  
Vol 80 (11) ◽  
pp. 6391-6395 ◽  
Author(s):  
K. Mandal ◽  
D. Dufour ◽  
R. Sabet‐Sharghi ◽  
B. Sijgers ◽  
D. Micke ◽  
...  
Keyword(s):  
Barkhausen Noise ◽  
Magnetic Barkhausen Noise ◽  
Stress Concentrations ◽  
Noise Measurements ◽  
Detection Of Stress

Characterization of Electron Beam Welded Non-Oriented Electrical Steel with Magnetic Barkhausen Noise

2014 ◽  
Vol 605 ◽  
pp. 39-42 ◽  
Author(s):  
Polykseni Vourna
Keyword(s):  
Mechanical Properties ◽  
Magnetic Properties ◽  
Electron Beam ◽  
Electrical Steel ◽  
Electron Beam Welding ◽  
Magnetic Measurements ◽  
Barkhausen Noise ◽  
Magnetic Barkhausen Noise ◽  
Electrical Steels

In this paper the influence of Electron Beam Welding (EBW) on the microstructure, mechanical and magnetic properties of Non-Oriented Electrical steels was presented and evaluated. Single pass welds free of defects were produced at welding speeds and pulsed currents following a predesigned protocol. The samples microstructure and the macrohardness tests were concluded with the magnetic measurements (Barkhausen Noise) in order to correlate the structural and mechanical properties with the magnetizing behavior of Non-Oriented Electrical Steel.

Characterization of Metallurgical Transformations in Multi-Phase High Strength Steels by Barkhausen Noise Measurement

2007 ◽  
Vol 539-543 ◽  
pp. 4283-4288
Author(s):  
Aurélie Hug-Amalric ◽  
Xavier Kleber ◽  
Jacques Merlin ◽  
Hélène Petitgand ◽  
Philip Meilland
Keyword(s):  
High Strength Steels ◽  
High Strength ◽  
Residual Austenite ◽  
Noise Measurement ◽  
Barkhausen Noise ◽  
Dual Phase ◽  
Magnetic Barkhausen Noise ◽  
Noise Measurements ◽  
Multi Phase

The potentialities of using the magnetic Barkhausen noise measurement in characterization of metallurgical transformations have been highlighted in multi-phase High Strength (HS) steels. This kind of steels are composed of different metallurgical constituents, such as ferrite, bainite, martensite or residual austenite. Recently, we found that it was possible to assess the proportion of phases in ferrite-martensite steels and in industrial Dual-Phase steels too. In this work, we show that the Barkhausen noise measurements can be also suitable to follow bainitic transformation in a TRIP steel.

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