Surface Integrity Assessment Upon Electric Discharge Machining of Die Steel Using Non-Destructive Magnetic Barkhausen Noise Technique

2020 ◽  
Vol 73 (4) ◽  
pp. 967-974
Author(s):  
Binayaka Nahak ◽  
Ashish Srivastava ◽  
M. Z. Khan Yusufzai ◽  
Meghanshu Vashista
2014 ◽  
Vol 490-491 ◽  
pp. 351-357
Author(s):  
Liang Yin ◽  
Di Shu ◽  
Juan Chen ◽  
Xin Qi

The experiment shows that the Magnetic Barkhausen Noise (MBN) signal strongly depends on the elastic deformation, heat treatment state of surface and microstructure of the material, etc. Using the MBN technology that rely on the material characteristics, MBN can be used for testing the surface hardness of 60kg/m U74 seamless rail made by China Harbin welded rail plant. And the testing result obtained by the MBN method is consistent with the results obtained by the Brinell hardness (HB) method. Consequently, this non-destructive testing technique will have a strong life and an extensive market.


2017 ◽  
Vol 68 (5) ◽  
pp. 384-389
Author(s):  
Jozef Pal’a ◽  
Vladimír Jančárik

Abstract The magnetic Barkhausen noise (MBN) measurement method is a widely used non-destructive evaluation technique used for inspection of ferromagnetic materials. Besides other influences, the excitation yoke lift-off is a significant issue of this method deteriorating the measurement accuracy. In this paper, the lift-off effect is analysed mainly on grain oriented Fe-3%Si steel subjected to various heat treatment conditions. Based on investigation of relationship between the amplitude distribution of MBN and lift-off, an approach to suppress the lift-off effect is proposed. Proposed approach utilizes the digital feedback optimising the measurement based on the amplitude distribution of MBN. The results demonstrated that the approach can highly suppress the lift-off effect up to 2 mm.


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