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During the course of the study it involved tool steel C105U was used. The steel was austempered at temperatures of 130°C, 160°C and 180°C respectively. Methods of acoustic emission (AE) were used to investigate the resulting effects associated with transformations and a large number of AE events were registered. Neural networks were applied to analyse these phenomena. In the tested signal, three groups of events were identified of: high, medium and low energy. The average spectral characteristics enabled the power of the signal spectrum to be determined. After completing the process, the results were compiled in the form of diagrams of the relationship of the AE incidence frequency as a function of time. Based on the results, it was found that in the austempering of tool steel, in the first stage of transformation midrib morphology is formed. Midrib is a twinned thin plate martensite. In the 2nd stage of transformation, the intensity of the generation of medium energy events indicates the occurrence of bainite initialised by martensite. The obtained graphic of AE characteristics of tool steel austempering allow conclusions to be drawn about the kinetics and the mechanism of this transformation.
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Czasopismo
Rocznik
Tom
Strony
603--609
Opis fizyczny
Bibliogr. 24 poz., rys.
Twórcy
autor
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 5b Pawińskiego Str., 02-106 Warszawa, Poland
- Institute of Technology, Kazimierz Wielki University, 30 Chodkiewicza Str., 85-064 Bydgoszcz, Poland
autor
- Institute of Technology, Kazimierz Wielki University, 30 Chodkiewicza Str., 85-064 Bydgoszcz, Poland
autor
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 5b Pawińskiego Str., 02-106 Warszawa, Poland
autor
- Institute of Fundamental Technological Research, Polish Academy of Sciences, 5b Pawińskiego Str., 02-106 Warszawa, Poland
autor
- Institute of Technology, Kazimierz Wielki University, 30 Chodkiewicza Str., 85-064 Bydgoszcz, Poland
Bibliografia
- [1] I. Malecki, J. Ranachowski, Emisja Akustyczna. Źródła Metody Zastosowania, Wyd. Pascal 1994, Warszawa.
- [2] T. Z. Wozniak, Materials Characterization 59, 708-16 (2008).
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- [11] T.Z. Wozniak, K. Różniatowski, Z. Ranachowski, Metals and Materials International 17, 365 (2011).
- [12] H.K.D.H. Bhadeshia and C. H. Young, Mater. Sci. Tech. 10, 209 (1994).
- [13] H.K.D.H. Bhadeshia, Bainite in Steels, 2-nd ed. The Institute of Materials, London (2001).
- [14] T.Z. Wozniak, Materials Science and Engineering A408, 309 (2005).
- [15] T.Z. Wozniak, K. Różniatowski, Z. Ranachowski, Kovove Materialy-Metallic Materials 49, 319 (2011).
- [16] T.Z. Wozniak, Z.Ranachowski, P. Ranachowski, W. Ozgowicz, A. Trafarski, Arch. Met. Mater. 59, 1705-1712 (2014).
- [17] Umemoto M., Hyodo T., Maeda T., Tamura I., Acta Metall. 32, 1191-1203 (1984).
- [18] T.Z. Wozniak, Materials Characterization 59(6), 708 (2008).
- [19] A. Pawełek, J. Kuśnierz, J. Bogucka, J. Jasiński, Z. Ranachowski, Arch. of Metall. and Mater. 53 (2008).
- [20] A. Pawełek, J. Kuśnierz, J. Bogucka, J. Jasiński, Z. Ranachowski, P. Ranachowski, F. Rajmund, T. Dębowski, Arch. of Acoust. 32, 955-962 (1997).
- [21] V.S. Boiko, Phys. Stat. Sol.(b) 55, 477 (1973).
- [22] T.Z. Wozniak, J. Jeleńkowski, Zesz. Nauk. 193, Mech. 38, ATR, Bydgoszcz, 103 (1995).
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Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-caab3ffa-ca71-49f0-a700-a5e0d0aab8a6