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
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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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, 2018 Nondestructive examination of decarburised layer of steels using eddy current and magnetic Barkhausen noise testing ...
S Falahat (15841538) +2 more
core
Barkhausen Noise in 100Cr6 Bearing Steel as a Function of Microstructure and Stress State. [PDF]
Materials (Basel)Pitoňák M +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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Microstructural Characterization of Additively Manufactured AISI 4140 Parts Using Magnetic Barkhausen Noise. [PDF]
Materials (Basel)Krämer C, Schulze V, Dietrich S.
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Influence of Rolling Direction on Barkhausen Noise in Low-Alloyed Steel MC500. [PDF]
Materials (Basel)Koňár R +5 more
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A Method for Detecting the Randomness of Barkhausen Noise in a Material Fatigue Test Using Sensitivity and Uncertainty Analysis. [PDF]
Sensors (Basel), 2020 Hou Y +5 more
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Evaluation Method for Creep Damage of P92 Steel Based on Magnetic Barkhausen Noise and Magnetoacoustic Emission. [PDF]
Sensors (Basel)Huang Z +5 more
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Time-Frequency Analysis of Barkhausen Noise for the Needs of Anisotropy Evaluation of Grain-Oriented Steels. [PDF]
Sensors (Basel), 2020 Maciusowicz M, Psuj G.
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