Tytuł artykułu
Autorzy
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The investigations on microstructure of P92 steel in the as-received condition and after 105h ageing at 600 and 650°C were carried out. For the recorded images of microstructure, the quantitative analysis of precipitates was performed. On that basis, a statistical analysis of collected data was made with the aim of estimating parameters of selected theoretical statistical distribution. Then, the forecast for average precipitate diameter and standard deviation of such a distribution for the time of 1,5*105h at 600 and 650°C was calculated. The obtained results of investigations confirm the possibility of using, in evaluation of degradation degree for materials in use, the forecasting methods derived from mathematical statistics, in particular the theory of stochastic processes and methods of forecasting by analogy.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
753--760
Opis fizyczny
Bibliogr. 23 poz., rys.
Twórcy
autor
- Institute for Ferrous Metallurgy, Gliwice, Poland
autor
- Silesian University of Technology, Institute of Engineering Materials and Biomaterials, Faculty of Mechanical Engineering, 18a Konarskiego Str., 44-100 Gliwice, Poland
autor
- Institute for Ferrous Metallurgy, Gliwice, Poland
autor
- Silesian University of Technology, Institute of Engineering Materials and Biomaterials, Faculty of Mechanical Engineering, 18a Konarskiego Str., 44-100 Gliwice, Poland
Bibliografia
- [1] A. Hernas, J. Dobrzański, J. Pasternak, S. Fudali, Characteristics of the new-generation materials for the power industry, Publishing House of the Silesian University of Technology, Gliwice 2015.
- [2] T. Tański, K. Labisz, B. Krupińska, M. Krupiński, M. Król, R. Maniara, W. Borek, J. Therm. Anal. Calorim. (2015) DOI 10.1007/s10973-015-4871-y, (in press).
- [3] J. Dobrzański, Open Access Library, Materials science interpretation of the life of steels for power plants, Gliwice 2011.
- [4] L. Blacha, K. Michałek, A. Smalcerz, M. Warzecha, Metalurgija 53, (4), 574-576 (2014).
- [5] L. A. Dobrzański, A. Grajcar, W. Borek, Mater. Sci. Forum. 638-642, 3224-3229 (2010).
- [6] A. Zieliński, G. Golański, M. Sroka, P. Skupień, Mater. High Temp. 33, (2), 154-163 (2016), DOI: 10.1080/09603409.2016.1139306 (in press).
- [7] M. Król, P. Snopiński, B. Tomiczek, T. Tański, W. Pakieła, W. Sitek, P. Est. Acad. Sci. 65, (2), 107-116 (2016).
- [8] M. Król, T. Tański, W. Sitek, Mater. Sci. Eng. 95, (2015), DOI:10.1088/1757-899X/95/1/012006 (in press).
- [9] Z. Brytan, J. Niagaj, Chiang. Mai. J. Sci. 40, (5), 923-937 (2013).
- [10] X. Guo, J. Gong, Y. Jiang, X. Wang, Y. Zhao, Mater. High Temp. (2015), DOI:1878641315Y-0000000003 (in press).
- [11] P. F. Giroux, F. Dalle, M. Sauzay, J. Malaplate, B. Fournier, A.F. Gourgues-Lorenzon, Mat. Sci. Eng. A-Struct. 527, (16), 3984-3993 (2010).
- [12] L. A. Dobrzanski, R. Maniara, J. Sokolowski, W. Kasprzak, M. Krupiński, Z. Brytan, J. Mater. Process. Tech. 192, 582-587 (2007).
- [13] J. Hald, Int. J Pres. Ves. Pip. 85, (1), 30-37 (2008).
- [14] L. A. Dobrzański, W. Borek, Mater. Sci. Forum. 654-656, (1-3), 266-269 (2010).
- [15] H. Adrian, J. Augustyn-Pieniążek, P. Marynowski, P. Matusiewicz, Hutnik, Wiadomości Hutnicze 81, (4), 208-214 (2014).
- [16] A. Zieliński, G. Golański, M. Sroka, J. Dobrzański, Mater. Sci. Tech-Lond. (2015), DOI: 10.1179/1743284715Y.0000000137 (in press).
- [17] A. Zieliński, M. Miczka, M. Sroka, Mater. Sci. Tech-Lond., 2016, DOI:10.1080/02670836.2016.1150242 (in press).
- [18] W. Sitek, T. Famena. 34, (3), 39-46 (2010).
- [19] A. Zieliński, G. Golański, M. Sroka, Kovove Mater. 54, (1), 61-70 (2016).
- [20] A. Zieliński, M. Miczka, B. Boryczko, M. Sroka, Arch. Civ. Mech. Eng. 2016, DOI:10.1016/j.acme.2016.04.010 (in press).
- [21] N. J. Cox, Stata. J. 5, (2), 259-273 (2005).
- [22] I. H. Salgado-Ugarte, M. Shimizu, T. Taniuchi, Stata. Tech. Bull. 3, 155-173 (1993).
- [23] M. Fisz, Probability theory and mathematical statistics, John Wiley and Sons, 1980.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-58629a37-4b7d-4b81-bf6d-0829a7d4e2cb