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Abstrakty
The statistical analysis of experimental data was presented and the precipitate diameter forecast for selected steel grade was developed in this paper. The investigations of changes in the material microstructure were carried out under high-temperature conditions. Therefore, this material was characterised by increasing instability over time. Long-term ageing tests were carried on P91 steel for 103, 104, 3 × 104 and 7 × 104 h at 600 and 650 °C. The recorded microstructure images allowed the quantitative analysis of precipitates that occur mainly at the former austenite grain boundaries and martensite laths. The statistical distribution forecast was developed for the ageing time of 105 h. The forecasting under the conditions of material structure changes requires repealing classic assumptions adopted in the theory of prediction. Such methodology was proposed in this article. This article is the basis for the development of further research in this field. The proposed methodology can be used for diagnostic purposes and in the equipment failure risk assessment.
Czasopismo
Rocznik
Tom
Strony
813--824
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
autor
- Institute for Ferrous Metallurgy, K. Miarki 12-14, 44-100 Gliwice, Poland
autor
- Institute for Ferrous Metallurgy, K. Miarki 12-14, 44-100 Gliwice, Poland
autor
- AGH University of Science and Technology, Faculty of Non-Ferrous Metals, Department of Metal Working and Physical Metallurgy of Non-Ferrous Metals, Al. Mickiewicza 30, 30-059 Krakow, Poland
autor
- Institute of Engineering Materials and Biomaterials, Silesian University of Technology, Konarskiego St. 18a, 44-100 Gliwice, Poland
Bibliografia
- [1] J. Pasternak, A. Hernas, P. Miliński, New martensitic steels for construction of supercritical boilers, Energetyka 10 (1997) 543–548.
- [2] J. Hald, Microstructure and long-term creep properties of 9– 12%Cr steels, International Journal of Pressure Vessels and Piping 85 (2008) 30–37.
- [3] A. Zieliński, G. Golański, M. Sroka, Assessment of microstructure stability and mechanical properties of X10CrWMo-VNb9-2 (P92) steel after long-term thermal ageing for high temperature applications, Kovove Materialy - Metallic Materials 54 (1) (2016) 61–70.
- [4] A. Zieliński, G. Golański, M. Sroka, P. Skupień, Microstructure and mechanical properties of the T23 steel after long-term ageing at elevated temperature, Materials at High Temperatures 33 (2) (2016) 154–163.
- [5] G. Golański, A. Zieliński, J. Słania, J. Jasak, Mechanical properties of VM12 steel after 30 000 h of ageing at 600 8C temperature, Archives of Metallurgy and Materials 59 (4) (2014) 1351–1354.
- [6] A. Zieliński, G. Golański, M. Sroka, T. Tański, Influence of long-term service on microstructure, mechanical properties and service life of HCM12A steel, Materials at High Temperatures 33 (1) (2016) 24–32.
- [7] J. Dobrzański, Materials science interpretation of the life of steels for power plants, Open Access Library 3 (2011) 1–228.
- [8] G. Golański, A. Zieliński, A. Zielińska-Lipiec, Degradation of microstructure and mechanical properties in martensitic cast steel after ageing, Materialwissenschaft und Werkstofftechnik 46 (3) (2015) 248–255.
- [9] X. Guo, J. Gong, Y. Jiang, X. Wang, Y. Zhao, Microstructures and high-temperature mechanical properties in 9Cr–0.5 Mo– 1.8 W–VNb steel after aging at 650 8C, Materials at High Temperatures 32 (6) (2015) 466–574.
- [10] P.F. Giroux, F. Dalle, M. Sauzay, J. Malaplate, B. Fournier, A.F. Gourgues-Lorenzon, Mechanical and microstructural stability of P92 steel under uniaxial tension at high temperature, Materials Science and Engineering A 527 (16) (2010) 3984–3993.
- [11] A. Zieliński, G. Golański, M. Sroka, J. Dobrzański, Estimation of long-term creep strength in austenitic power plant steels, Materials Science and Technology (2015), http://dx.doi.org/ 10.1179/1743284715Y.0000000137.
- [12] A. Zieliński, G. Golański, The influence of repair welded joint on the life of steam pipeline made of Cr-Mo steel serviced beyond the calculated working time, Archives of Metallurgy and Materials 60 (2) (2015) 1045–1049.
- [13] A. Gelman, J.B. Carlin, H.S. Stern, D.B. Dunson, A. Vehtari, D.B. Rubin, Bayesian Data Analysis, CRC Press, Boca Raton, 2013.
- [14] H. Adrian, J. Augustyn-Pieniążek, P. Marynowski, P. Matusiewicz, Model of carbonitride precipitation kinetics in microalloyed steel, Hutnik, Wiadomości Hutnicze 81 (4) (2014) 208–214.
- [15] PN-EN 10216-2:2009 Seamless steel tubes for pressure purposes. Technical delivery conditions. Part 2: Non-alloy and alloy steel tubes with specified elevated temperature properties.
- [16] A. Zieliński, J. Dobrzański, Characteristics of changes in properties and structure of X10CrMoVNb9-1 steel due to long-term impact of temperature and stress, Archives of Materials Science and Engineering 60 (2013) 72–81.
- [17] N.J. Cox, Speaking Stata: Density probability plots, The Stata Journal 5 (2) (2005) 259–273.
- [18] I.H. Salgado-Ugarte, M. Shimizu, T. Taniuchi, Exploring the shape of univariate data using kernel density estimators, Stata Technical Bulletin Reprints 3 (1993) 155–173.
- [19] M. Fisz, Probability Theory and Mathematical Statistics, John Wiley and Sons, New Jersey, 1980.
- [20] B. Boryczko, A. Hołda, Z. Kolenda, Deplation of the non-renewable natural resource in copper, zinc. Lead and aluminium production, Journal of Cleaner Production 84 (2014) 313–321.
- [21] B. Boryczko, Z. Kolenda, W. Nowak, The reliability of long-term energy forecasts, Gospodarka Surowcami Mineralnymi – Mineral Resources Management 31 (2015) 111–138.
- [22] A. Zieliński, M. Miczka, M. Sroka, Forecasting precipitate diameter probability density under T23 steel microstructure instability conditions, Materials Science and Technology (2016), http://dx.doi.org/10.1080/02670836.2016.1150242.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-721ed78c-e6b1-4272-836f-1cd6fe224c6d