Research of excitation frequency selection in Barkhausen noise detection for RPV irradiation embrittlement

2011 ◽  
Vol 2011 ◽  
pp. 1-6
Author(s):  
Saurabh Kumar ◽  
Mukesh Yadav ◽  
Prateek Agrawal ◽  
Mohd Zaheer Khan ◽  
Meghanshu Vashista

An experimental investigation was carried out to study the effect of variation in Barkhausen noise (BN) analysis parameters (magnetizing voltage and excitation frequency) for assessment of microhardness profile upon surface grinding. A varying amount of surface damage was induced in the ground samples by changing the downfeed during grinding. It was observed that variation in microhardness inversely affects root mean square (rms) value of BN signal. The observed BN profile indicated no phase transformation or microstructural changes upon grinding. Metallographic study of ground samples has been undertaken to confirm the results obtained by BN analysis. Barkhausen noise parameter (rms value of BN signal), at elevated magnetizing voltage and excitation frequency, increased with reduction in microhardness along the depth indicating the applicability of BN analysis technique in assessing the microhardness profile of ground steel.


2013 ◽  
Vol 455 ◽  
pp. 442-447 ◽  
Author(s):  
Tian Yu Ren ◽  
Guo Long Chen ◽  
Wei Min Zhang ◽  
Zhong Chao Qiu

This paper describes a newly developed set of Barkhausen noise testing system including magnetizing and pick-up coils and the subsequent data acquisition unit based on the generation mechanism of Barkhausen noise. We studied the intensity of magnetic Barkhausen noise (MBN) of 16MnR steel under different states of stress by tensile test of flat-shaped specimens.


2017 ◽  
Vol 2017 (45) ◽  
pp. 83-89
Author(s):  
A.A. Marusenkov ◽  

Using dedicated high-frequency measuring system the distribution of the Barkhausen jumps intensity along a reversal magnetization cycle was investigated for low noise fluxgate sensors of various core shapes. It is shown that Barkhausen (reversal magnetization) noise intensity is strongly inhomogeneous during an excitation cycle. In the traditional second harmonic fluxgate magnetometers the signals are extracted in the frequency domain, as a result, some average value of reversal magnetization noises is contributed to the output signals. In order to fit better the noise shape and minimize its transfer to the magnetometer output the new approach for demodulating signals of these sensors is proposed. The new demodulating method is based on information extraction in the time domain taking into account the statistical properties of cyclic reversal magnetization noises. This approach yields considerable reduction of the fluxgate magnetometer noise in comparison with demodulation of the signal filtered at the second harmonic of the excitation frequency.


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