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Metal science and metallography
Название Estimation of single large nonmetallic inclusions in steel using statistics of extreme values
Автор A. A. Kazakov, A. I. Zhitenev, M. A. Salynova
Информация об авторе

Peter the Great St.Petersburg Polytechnic University (St. Petersburg, Russia):

A. A. Kazakov, Dr. Eng., Prof., e-mail: kazakov@thixomet.ru
A. I. Zhitenev, Engineer,
M. A. Salynova, Engineer

Реферат

Modern methods of metallographic evaluation of nonmetallic inclusions (NMIs) in wheel steels has been discussed. It has been shown that large single nonmetallic inclusions cannot be estimated when only one plane of a section is analyzed by the stereological methods used in industry today. For an assessment of such inclusions in standard ASTM E 2283 it is offered to investigate four different planes of the section and to process the obtained results by means of the mathematical tools of extreme values statistics. The results of such processing allow to predict the size of the largest NMI in wheel steel. On an example of the specimens which have been cut out from industrial railway wheels it is shown that the results of the ASTM E 2283 evaluation have predictive features: analysis of 24 specimens planes has not reveal large nonmetallic inclusions exceeding the critical sizes, but the forecast made on these data has allowed to predict the presence of such large NMIs. The results of factory acceptance tests of the same metal on other planes of the section have confi rmed the presence of large inclusions exceeding the critical size. The developed technique has been implemented as a plug-in of the Thixomet Pro Image Analyzer, and its use in the final control of wheel and other high performance steels can serve as a basis for improving the steelmaking technology as well as will allow to calculate reasonably a resource of products manufactured from them.

Ключевые слова Single large nonmetallic inclusions, wheel steel, metallographic methods, statistics of extreme values, prediction of large inclusions in steel
Библиографический список

1. Murakami Y. Metal Fatigue: Effects of Small Defects and Nonmetallic Inclusions. Tokyo: Yokendo Ltd. 1993. pp. 75–122.
2. Gubenko S. I. Transformation of non-metallic inclusions in steel. Moscow: Metallurgiya, 1991. 225 p.
3. Belchenko G. I., Gubenko S. I. Non-metallic inclusions and quality of steel. Kiev: Tekhnika, 1980. 168 p.
4. Kushnarev A. V. Quality improvement of continuously cast billets of wheel steel manufactured at JSC «EVRAZ NTMK». Chernye Metally. 2014. No. 3. pp. 33–37.
5. AAR Specifi cation M-107/M-208. Standard for Wheels, Wrought Carbon Steel. 2017.
6. ASTM E 1245-03. Standard Practice for Determining the Inclusion or Second-Phase Constituent Content of Metals by Automatic Image Analysis. 2003.
7. Spektor Ya. I., Lyashenko V. P., Samsonov A. N. Study of fatigue microcracks and non-metallic inclusions. Stal i nemetallicheskie vklyucheniya. 1980. No. 4. pp. 30–38.
8. Gumbel E. J. Statistics of extremes. New York: Columbia University Press., 1958. pp. 349–358.
9. Beretta S., Anderson C. W. Extreme value statistics in metal fatigue. Societa Italiana di Statistica: Atti della XLI Riunione Scientifica. pp. 251–260.
10. Murakami Y. Inclusion Rating by Statistics of Extreme Values and Its Application to Fatigue Strength Prediction and Quality Control of Materials. Journal of Research of the National Institute of Standards and Technology. 1994. Vol. 99, Iss. 4. pp. 345–351.
11. Beretta S., Murukami Y. Largest-Extreme-Value Distribution Analysis of Multiple Inclusion Types in Determining. Steel Cleanliness. Metall. Mater. Trans. B. 2001. Vol. 32B. pp. 517–523.
12. Kanbe Y., Karasev A., Todoroki H., Jonsson P. G. Application of Extreme value analysis for two and three dimensional determinations of the largest inclusion in metal samples. ISIJ International. 2011. Vol. 51, Iss. 4. pp. 593–602.
13. Kanbe Y., Karasev A., Todoroki H., Jönsson P. G. Analysis of Largest Sulfide Inclusions in Low Carbon Steel by Using Statistics of Extreme Values. Steel Research International. 2011. Vol. 82, Iss. 4. pp. 313–322.
14. Bytyqi A., Jenko M., Godec M. Characterization of the inclusion in spring steel using light microscopy and scanning electron microscopy. Materiali in tehnologije. 2011. Vol. 45. pp. 55–59.
15. Roiko A., Hänninena H., Vuorikari H. Anisotropic distribution of nonmetallic inclusions in a forged steel roll and its infl uence on fatigue limit. International journal of fatigue. 2012. Vol. 41. pp. 158–167.
16. Hetzner D. Developing ASTM E 2283: Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features. Journal of ASTM International. 2006. Vol. 3, Iss. 8. pp. 1–18.
17. ASTM 2283. Standard Practice for Extreme Value Analysis of Nonmetallic Inclusions in Steel and Other Microstructural Features. 2014.
18. Trushnikova A. S. The use of mathematical statistics methods for predicting the content of large non-metallic inclusions in steel. Proceedings of V Russian conference of young researches. Promising materials. Special issue. 2008. pp. 244–246.
19. Borovkov А. А. Mathematical statistics. Moscow: Nauka, 1984. 79 p.
20. Kolpishon E. Yu., Kazakov A. A., Zhitenev A. I., Titova T. I., Malykhina O. Yu., Durynin V. A. Metallographic control of billets for critical power engineering products and automation of microstructure research methods. Tyazheloe mashinostroenie. 2016. No. 11–12. pp. 2–8.

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