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Forecasting the distribution of precipitate diameters in the presence of changes in the structure of the material

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The results of investigations on the microstructure of T23 and T24 low-alloy steels as well as P91 and P92 high-chromium steels in the as-received condition and after 70.000 h annealing at 550-650°C are presented. The quantitative analysis of the existing precipitates was performed for representative images of microstructure. The statistical analysis of collected data allowed the parameters of a selected theoretical statistical distribution to be estimated. A forecast of average precipitate diameter and standard deviation of such a distribution for the time of 100,000 hours at 550 and 600°C for T23 and T24 steels and at 600 and 650°C for P91 and P92 steels was calculated. The obtained results of investigations have made it possible to compare changes in the microstructure of various steel grades due to long-term impact of elevated temperature. They have also confirmed the possibility of using, in evaluating the degradation degree of materials in use, the forecasting methods that derive from mathematical statistics, in particular the theory of stochastic processes and forecast by analogy methods. The presented approach allows the development of a forecast of precipitate diameter probability density under the microstructure instability conditions for selected steel grades. The assessment of material condition that takes into consideration, but is not limited to, the precipitate diameter measurement is useful as an assessment component in estimating the time of safe service of power unit elements working under creep conditions.
Słowa kluczowe
Twórcy
  • Institute of Ferrous Metallurgy, 12-14 K. Miarki Str., 44-100 Gliwice, Poland
autor
  • Institute of Ferrous Metallurgy, 12-14 K. Miarki Str., 44-100 Gliwice, Poland
autor
  • Czestochowa University of Technology, Institute of Materials Engineering, 19 Armii Krajowej Av., 42-200 Częstochowa, Poland
Bibliografia
  • [1] P. Duda, Ł. Felkowski, J. Dobrzański, H. Purzyńska, Mater. High Temp. 33, 1, 85-93 (2016).
  • [2] J. Dobrzański, Open Access Library, Materials science interpretation of the life of steels for power plants, Gliwice 2011.
  • [3] P. Duda, D. Rząsa, Int. J. Energ. Res. 36 (6), 703-709 (2012).
  • [4] J. Kępa, G. Golański, A. Zieliński, A. Brodziak-Hyska, J. Vibroeng, 14 (1), 143-150 (2012).
  • [5] P. Duda, Int. J. Mech. Sci., 107, 201-214. (2016).
  • [6] A. Hernas, J. Dobrzański, Life-time and damage of boilers and steam turbines elements, Publishing House of The Silesian University of Technology, Gliwice 2003
  • [7] A. Zieliński, M. Miczka, B. Boryczko, M. Sroka, Arch. Civ. Mech. Eng. 4, 813-824 (2016).
  • [8] A. Zieliński, G. Golański, M. Sroka, J. Dobrzański, Mater. Sci. Tech-Lond. 32 (8), 780-785 (2016).
  • [9] G. Golański, A. Zieliński, A. Zielińska-Lipiec, Materialwiss. Werkst. 46 (3), 248-255, (2015).
  • [10] W. Yan, W. Wang, Y.Y. Shan, K. Yang, Front. Mater. Sci. 7, 1-27 (2013).
  • [11] H. Adrian, J. Augustyn-Pieniążek, P. Marynowski, P. Matusiewicz, Hutnik, Wiadomości Hutnicze 81, (4), 208-214 (2014).
  • [12] S. M. Ross, Introduction to Probability and Statistics for Engineers and Scientists, Elsevier (2014).
  • [13] G. E. P. Box, G. M. Jenkins and G.C. Reinsel, Time series analysis, forecasting and control, Wiley, (2008).
  • [14] M. Fisz, Probability theory and mathematical statistics, John Wiley and Sons, (1980).
  • [15] Z. Gong, W. Dingand and B. Wang, Heat Treat. Met. 4, 78-81 (2013).
  • [16] G. Golański, A. Zieliński, J. Słania and J. Jasak, Arch. Metall. Mater. 59 (4), 1350-1354 (2014).
  • [17] A. Zieliński, G. Golański, M. Sroka, T. Tański, Mater. High Temp. 33 (1), 24-32 (2016).
  • [18] A. Zieliński, M. Miczka, M. Sroka, Mater. Sci. Tech-Lond. 32 (18), 1899-1910 (2016).
  • [19] A. Zieliński, G. Golański, M. Sroka, P. Skupień, Mater. High Temp. 33 (2), 154-163 (2016).
  • [20] A. Zieliński, G. Golański, M. Sroka, Mat. Sci. Eng. A-Struct. 682, 664-672 (2017).
  • [21] K. Rodak, A. Hernas, A. Kiełbus, Characteristics of new low-alloy steel T23 for power industry. In: Proc. 10th Jubilee International Scientific Conference Achievements in Mechanical & Materials Engineering, Gliwice, Cracow, 483-486 Zakopane, Poland. (2001).
  • [22] L. Wang, L. Zhu, Y. Deng, Q. Wang, F. Zou, High Temp. Mater. Proc. 27 (1), 11-18 (2008).
  • [23] A. Zieliński, G. Golański, M. Sroka, Kovove Mater. 54 (1), 61-70 (2016).
  • [24] A. Zieliński, A., J. Dobrzański, Archives of Materials Science and Engineering 60, 72-81 (2013).
  • [25] M. Fisz, Probability theory and mathematical statistics, 1980, Hoboken, NJ, John Wiley and Sons.
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-051cef4e-55ab-4be4-aed8-49f826e2bef3
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