Analysis of measurement conditions influence on the magnetic Barkhausen noise phenomenon
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Abstrakt
The effectiveness of the magnetic Barkhausen noise method (MBN), used for non-destructive testing of ferromagnetic materials, depends to a large extent on a number of factors determining the measurement conditions. The use of conditions allowing the highest possible level of discrimination between the various states of the materials state is of highest importance. Therefore, this paper presents an analysis of the impact of measurement conditions on Barkhausen noise signals observed for various states of the material conditions. Taking into consideration the stochastic nature of MBN and the complex characterization of its changes, the analysis was based on the time-frequency representation of the MBN signal. The paper presents selected distributions achieved using two transformation methods. In addi- tion, the extraction methods of features allowing the quantification of complex information were given. Finally, the discrimination ability for a number of parameters and features of MBN signals were deter- mined and the obtained results were discussed.
Pobrania
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Creative Commons CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
Artykuły czasopisma Welding Technology Review (Przegląd Spawalnictwa) publikowane są w otwartym dostępie na licencji CC BY (licencja Creative Commons Uznanie autorstwa 4.0 Międzynarodowe). Licencja CC BY jest najbardziej otwartą dostępną licencją i uważaną za „złoty standard” w formule otwartego dostępu; jest również preferowany przez wielu fundatorów badań. Licencja ta umożliwia czytelnikom kopiowanie i redystrybucję materiału na dowolnym nośniku i w dowolnym formacie, a także zmienianie, przekształcanie lub budowanie na nim materiału, w tym do użytku komercyjnego, pod warunkiem wskazania oryginalnego autora.
Bibliografia
Makowska K., Kowalewski Z.L., Augustyniak B., Piotrowski L., Determination of mechanical properties of P91 steel by means of magnetic Barkhausen emission, Journal of Theoretical and Applied Mechanics, 2014, Vol. 52(1), 181-188.
Kleber X., Vincent A., On the role of residual internal stresses and dislocations on Barkhausen noise in plas-tically deformed steel, NDT & E International, 2004, Vol. 37(6), 439445.
Psuj G., Fusion of Multiple Parameters of Magnetic Testing Results for Damage Assessment of Loaded Steel Structures, Studies in Applied Electromagnetics and Mechanics, 2015, Vol. 40, 192199.
Szymanik B., Psuj G., Infrared and electromagnetic inspection of steel structures under load, Quantitative Infra-Red Thermography Journal, 2016, Vol. 13, 232241.
Deng Y., Li Z., Chen J., Qi X., The effects of the structure characteristics on Magnetic Barkhausen noise in commercial steels, Journal of Magnetism and Magnetic Materials, 2018, Vol. 451, 276282.
BartoÅ¡ová I., VeternÃková J., Slugeň V., Study of candidate materials for new reactor systems using positron annihilation spectroscopy and Barkhausen noise, Nuclear Engineering and Design, 2014, Vol. 273, 376380.
Yamazaki T., Furuya Y., Nakao W., Experimental evaluation of domain wall dynamics by Bark-hausen noise analysis in Fe30Co70 magnetostrictive alloy wire, Journal of Magnetism and Magnetic Materials, 2019, Vol. 475, 240248.
Ding S., Tian G., Dobmann G., Wang P., Analysis of domain wall dynamics based on skewness of magnetic Barkhausen noise for applied stress determination, Journal of Magnetism and Magnetic, 2017, Vol. 421, 225229.
Prez-Benitez J.A., Padovese L.R., Capó-Sánchez J., Anglada-Rivera J., Investigation of the magnetic Barkhausen noise using elementary signals parameters in 1000 commercial steel, Journal of Magnetism and Magnetic, 2003, Vol. 263, 7277.
Psuj G., Maciusowicz M., Chudzik P., Influence of measurement conditions on the Magnetic Bark-hausen Noise properties, In Proceedings of the 2018 International Interdisciplinary PhD Workshop (IIPhDW), 2018, 326329.
Kwaśniewski J., Roskosz M., Witoś M., Molski S., Applications of Magnetometric Sensors Based on Amorphous Materials in Diagnostics of Wire Ropes, Archives of Mining Sciences, 2018, Vol. 63(1), 221-227.
Sorsa A., Santa-aho S., Vippola, M., Lepistö T., Leiviskä K., Utilization of frequency-domain information of Barkhausen noise signal in quantitative prediction of material properties, AIP Conf. Proc., 2014, Vol. 1581(1), 12561263.
Kypris O., Nlebedim I.C., Jiles D.C., A model for the Barkhausen frequency spectrum as a function of applied stress, Journal of Applied Physics, 2014, Vol. 115(8), 083906.
Tomkowski R., Jonsson S., Lundin P., Nerman P., Penetration depth investigation of Barkhausen noise signal for case-hardened components, Dresden, Germany, 2017.
Psuj G., Maciusowicz M., Analysis of time-frequency representation of Magnetic Barkhausen noise for the need of damage evaluation of steels elements, In Proceedings of the 2018 International Interdisciplinary PhD Work-shop (IIPhDW), 2018, pp. 108110.
Padovese L., Martin N., Millioz F., Time-frequency and Time-Scale analysis of Barkhausen noise signals, Pro-ceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2009, Vol. 223(5), 577588.
Maciusowicz M., Psuj G., Use of Time-Dependent Multispectral Representation of Magnetic Barkhausen Noise Signals for the Needs of Non-Destructive Evaluation of Steel Materials, Sensors, 2019, Vol. 19(6), 1443.
Psuj G., Maciusowicz M., The use of time-dependent spectral representation of Barkhausen noise signal for the needs of non-destructive evaluation of steel elements, Badania Nieniszczące i Diagnostyka, 2018, 6971.
Boashash B., Ouelha S., Designing high-resolution timefrequency and timescale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance, Digital Signal Processing, 2018, Vol. 77, 120152.
Łopato P., Psuj G., Herbko M., Maciusowicz M., Evaluation of stress in steel structures using electromagnetic methods based on utilization of microstrip antenna sensor and monitoring of AC magnetization process, Informatyka Automomatyka Pomiary W Gospododarce i Ochronie Środowiska, 2016, nr 4.