Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal

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ŽEROVNIK, Pavel ;FEFER, Dušan ;GRUM, Janez .
Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 60, n.1, p. 21-28, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/surface-integrity-characterization-based-on-time-delay-of-the-magnetic-barkhausen-noise-voltage-signal/>. Date accessed: 11 may. 2021. 
doi:http://dx.doi.org/10.5545/sv-jme.2012.906.
Žerovnik, P., Fefer, D., & Grum, J.
(2014).
Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal.
Strojniški vestnik - Journal of Mechanical Engineering, 60(1), 21-28.
doi:http://dx.doi.org/10.5545/sv-jme.2012.906
@article{sv-jmesv-jme.2012.906,
	author = {Pavel  Žerovnik and Dušan  Fefer and Janez  Grum},
	title = {Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {60},
	number = {1},
	year = {2014},
	keywords = {Micro-magnetic method; Barkhausen noise; time delay of the voltage signal; micro hardness; Student's t-test; reliability},
	abstract = {The captured magnetic Barkhausen noise (BN) signal is composed of a series of voltage impulses changes produced by movements of the magnetic domains. In most cases the captured voltage signals cannot be directly related to individual parameters to assess the material state, i.e. the properties, of the surface layer. For further efficient analysis of the voltage signals, an appropriate method for signal processing should be chosen in order to use the characteristic value of the voltage signal. Our method of processing represents the time delay of a BN voltage signal, i.e. the maximum voltage value of the signal, with reference to the sine wave of the magnetizing current. Measurement of the time delays of the voltage signals was carried out under optimum magnetizing conditions, which gave us the greatest number of voltage impulses in the signal. These are influenced by the turns and orientation of the magnetic domains. The aim of this research was to compare the voltage-signal time delay obtained with quenched and tempered specimens at two neighbouring temperatures. The temperature differences ranged from ΔT1 = 10 °C, up to ΔT2 = 25 °C. These small temperature differences in the tempering-temperature produced small differences in the micro hardness of the individual specimens and found out whether there were significant differences between micro hardnesses. The assessment of the reliability of the prediction of micro hardness was carried out using the Student’s t-test.},
	issn = {0039-2480},	pages = {21-28},	doi = {10.5545/sv-jme.2012.906},
	url = {https://www.sv-jme.eu/article/surface-integrity-characterization-based-on-time-delay-of-the-magnetic-barkhausen-noise-voltage-signal/}
}
Žerovnik, P.,Fefer, D.,Grum, J.
2014 June 60. Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 60:1
%A Žerovnik, Pavel 
%A Fefer, Dušan 
%A Grum, Janez 
%D 2014
%T Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal
%B 2014
%9 Micro-magnetic method; Barkhausen noise; time delay of the voltage signal; micro hardness; Student's t-test; reliability
%! Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal
%K Micro-magnetic method; Barkhausen noise; time delay of the voltage signal; micro hardness; Student's t-test; reliability
%X The captured magnetic Barkhausen noise (BN) signal is composed of a series of voltage impulses changes produced by movements of the magnetic domains. In most cases the captured voltage signals cannot be directly related to individual parameters to assess the material state, i.e. the properties, of the surface layer. For further efficient analysis of the voltage signals, an appropriate method for signal processing should be chosen in order to use the characteristic value of the voltage signal. Our method of processing represents the time delay of a BN voltage signal, i.e. the maximum voltage value of the signal, with reference to the sine wave of the magnetizing current. Measurement of the time delays of the voltage signals was carried out under optimum magnetizing conditions, which gave us the greatest number of voltage impulses in the signal. These are influenced by the turns and orientation of the magnetic domains. The aim of this research was to compare the voltage-signal time delay obtained with quenched and tempered specimens at two neighbouring temperatures. The temperature differences ranged from ΔT1 = 10 °C, up to ΔT2 = 25 °C. These small temperature differences in the tempering-temperature produced small differences in the micro hardness of the individual specimens and found out whether there were significant differences between micro hardnesses. The assessment of the reliability of the prediction of micro hardness was carried out using the Student’s t-test.
%U https://www.sv-jme.eu/article/surface-integrity-characterization-based-on-time-delay-of-the-magnetic-barkhausen-noise-voltage-signal/
%0 Journal Article
%R 10.5545/sv-jme.2012.906
%& 21
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 60
%N 1
%@ 0039-2480
%8 2018-06-28
%7 2018-06-28
Žerovnik, Pavel, Dušan  Fefer, & Janez  Grum.
"Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal." Strojniški vestnik - Journal of Mechanical Engineering [Online], 60.1 (2014): 21-28. Web.  11 May. 2021
TY  - JOUR
AU  - Žerovnik, Pavel 
AU  - Fefer, Dušan 
AU  - Grum, Janez 
PY  - 2014
TI  - Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2012.906
KW  - Micro-magnetic method; Barkhausen noise; time delay of the voltage signal; micro hardness; Student's t-test; reliability
N2  - The captured magnetic Barkhausen noise (BN) signal is composed of a series of voltage impulses changes produced by movements of the magnetic domains. In most cases the captured voltage signals cannot be directly related to individual parameters to assess the material state, i.e. the properties, of the surface layer. For further efficient analysis of the voltage signals, an appropriate method for signal processing should be chosen in order to use the characteristic value of the voltage signal. Our method of processing represents the time delay of a BN voltage signal, i.e. the maximum voltage value of the signal, with reference to the sine wave of the magnetizing current. Measurement of the time delays of the voltage signals was carried out under optimum magnetizing conditions, which gave us the greatest number of voltage impulses in the signal. These are influenced by the turns and orientation of the magnetic domains. The aim of this research was to compare the voltage-signal time delay obtained with quenched and tempered specimens at two neighbouring temperatures. The temperature differences ranged from ΔT1 = 10 °C, up to ΔT2 = 25 °C. These small temperature differences in the tempering-temperature produced small differences in the micro hardness of the individual specimens and found out whether there were significant differences between micro hardnesses. The assessment of the reliability of the prediction of micro hardness was carried out using the Student’s t-test.
UR  - https://www.sv-jme.eu/article/surface-integrity-characterization-based-on-time-delay-of-the-magnetic-barkhausen-noise-voltage-signal/
@article{{sv-jme}{sv-jme.2012.906},
	author = {Žerovnik, P., Fefer, D., Grum, J.},
	title = {Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {60},
	number = {1},
	year = {2014},
	doi = {10.5545/sv-jme.2012.906},
	url = {https://www.sv-jme.eu/article/surface-integrity-characterization-based-on-time-delay-of-the-magnetic-barkhausen-noise-voltage-signal/}
}
TY  - JOUR
AU  - Žerovnik, Pavel 
AU  - Fefer, Dušan 
AU  - Grum, Janez 
PY  - 2018/06/28
TI  - Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 60, No 1 (2014): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2012.906
KW  - Micro-magnetic method, Barkhausen noise, time delay of the voltage signal, micro hardness, Student's t-test, reliability
N2  - The captured magnetic Barkhausen noise (BN) signal is composed of a series of voltage impulses changes produced by movements of the magnetic domains. In most cases the captured voltage signals cannot be directly related to individual parameters to assess the material state, i.e. the properties, of the surface layer. For further efficient analysis of the voltage signals, an appropriate method for signal processing should be chosen in order to use the characteristic value of the voltage signal. Our method of processing represents the time delay of a BN voltage signal, i.e. the maximum voltage value of the signal, with reference to the sine wave of the magnetizing current. Measurement of the time delays of the voltage signals was carried out under optimum magnetizing conditions, which gave us the greatest number of voltage impulses in the signal. These are influenced by the turns and orientation of the magnetic domains. The aim of this research was to compare the voltage-signal time delay obtained with quenched and tempered specimens at two neighbouring temperatures. The temperature differences ranged from ΔT1 = 10 °C, up to ΔT2 = 25 °C. These small temperature differences in the tempering-temperature produced small differences in the micro hardness of the individual specimens and found out whether there were significant differences between micro hardnesses. The assessment of the reliability of the prediction of micro hardness was carried out using the Student’s t-test.
UR  - https://www.sv-jme.eu/article/surface-integrity-characterization-based-on-time-delay-of-the-magnetic-barkhausen-noise-voltage-signal/
Žerovnik, Pavel, Fefer, Dušan, AND Grum, Janez.
"Surface Integrity Characterization Based on Time-Delay of the Magnetic Barkhausen Noise Voltage Signal" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 60 Number 1 (28 June 2018)

Authors

Affiliations

  • University of Ljubljana, Faculty of Mechanical Engineering, Laboratory for Heat Treatment and Laboratory for Materials Testing, Slovenia 1
  • University of Ljubljana, Faculty of Electrical Engineering, Slovenia 2
  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia 3

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 60(2014)1, 21-28

https://doi.org/10.5545/sv-jme.2012.906

The captured magnetic Barkhausen noise (BN) signal is composed of a series of voltage impulses changes produced by movements of the magnetic domains. In most cases the captured voltage signals cannot be directly related to individual parameters to assess the material state, i.e. the properties, of the surface layer. For further efficient analysis of the voltage signals, an appropriate method for signal processing should be chosen in order to use the characteristic value of the voltage signal. Our method of processing represents the time delay of a BN voltage signal, i.e. the maximum voltage value of the signal, with reference to the sine wave of the magnetizing current. Measurement of the time delays of the voltage signals was carried out under optimum magnetizing conditions, which gave us the greatest number of voltage impulses in the signal. These are influenced by the turns and orientation of the magnetic domains. The aim of this research was to compare the voltage-signal time delay obtained with quenched and tempered specimens at two neighbouring temperatures. The temperature differences ranged from ΔT1 = 10 °C, up to ΔT2 = 25 °C. These small temperature differences in the tempering-temperature produced small differences in the micro hardness of the individual specimens and found out whether there were significant differences between micro hardnesses. The assessment of the reliability of the prediction of micro hardness was carried out using the Student’s t-test.

Micro-magnetic method; Barkhausen noise; time delay of the voltage signal; micro hardness; Student's t-test; reliability