Residual Stresses Measurements in Laser Powder Bed Fusion Using Barkhausen Noise Analysis. [PDF]
Materials (Basel), 2022 Staub A +4 more
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Short-Time Fatigue Life Estimation for Heat Treated Low Carbon Steels by Applying Electrical Resistance and Magnetic Barkhausen Noise. [PDF]
Materials (Basel), 2022 Wu H +5 more
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Quantitative Evaluation of the Effect of Temperature on Magnetic Barkhausen Noise. [PDF]
Sensors (Basel), 2021 Wang Y, Meydan T, Melikhov Y.
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Experimental Consideration of Conditions for Measuring Residual Stresses of Rails Using Magnetic Barkhausen Noise Method. [PDF]
Materials (Basel), 2021 Hwang YI +6 more
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Magnetic Barkhausen Noise Transient Analysis for Microstructure Evolution Characterization with Tensile Stress in Elastic and Plastic Status. [PDF]
Sensors (Basel), 2021 Liu J +5 more
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Applied SciencesThe Magnetic Barkhausen Noise (MBN) is a non-destructive testing method, which, due to its high sensitivity to changes in the microstructure of the material, is increasingly being applied with success as a tool for evaluation of magnetic material state ...
Michal Maciusowicz, Grzegorz Psuj
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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. [PDF]
Materials (Basel), 2021 Maciusowicz M, Psuj G, Kochmański P.
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Design and Implementation of Automatic Detection System of Gear Grinding Burn
Jixie chuandong, 2015 For the detection of grinding burn about tooth flank of cylindrical gear and bevel gear after grinding,the grinding burn detection system based on manipulator is proposed,which improves the degree of automation and reliability.The Barkhausen noise ...
Lin Jiachun, Huang Shaoyu
doaj
Time-Response-Histogram-Based Feature of Magnetic Barkhausen Noise for Material Characterization Considering Influences of Grain and Grain Boundary under In Situ Tensile Test. [PDF]
Sensors (Basel), 2021 Liu J +5 more
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Evaluation of Ferromagnetic Steel Hardness Based on an Analysis of the Barkhausen Noise Number of Events. [PDF]
Materials (Basel), 2020 Roskosz M, Fryczowski K, Schabowicz K.
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