employee
Bryansk, Russian Federation
employee
Moscow, Moscow, Russian Federation
student
Bryansk, Bryansk, Russian Federation
employee
Bryansk, Bryansk, Russian Federation
VAC 05.16.01 Металловедение и термическая обработка металлов и сплавов
UDK 62 Инженерное дело. Техника в целом. Транспорт
GRNTI 53.49 Металловедение
The basics of metallography and modern systems used for studying and analyzing the structures of materials are described. Special attention is paid to the techniques of quantitative microscopy, as a kind of ancestress of modern microstructure analysis systems. The analysis of modern computer programs used to analyze images of microstructures obtained from digital microscopes is presented. The basics of fractal analysis as a highly effective tool for calculating numerical values of parameters of geometrically complex objects are outlined. Using the example of the analysis of graphitized cast iron structure, the application of the fractal analysis method to determine such characteristics of the graphite phase as the shape of graphite inclusions and their distribution in the alloy volume is demonstrated. As part of the study, various classes of cast iron have been studied, such as graphitic pig iron with flaked graphite, cast iron with vermicular graphite, and high-grade cast iron with spheroidal graphite. To determine the shape of graphite inclusions, a fractal dimension has been proposed to be used, and the unevenness of the distribution has been estimated using such a function as lacunarity. The individual stages of determining these characteristics using a specialized FracLac module applied in the structure of the ImageJ program are presented. The obtained results showed high adequacy. Despite positive assessment, the shortcomings identified during the research on the use of fractal analysis methods for identifying geometrically complex dimensional and topological parameters inherent in the graphite phase in cast iron are noted. The ways for further improvement of these methods for solving a wide range of problems in metallography of alloys are proposed.
cast iron, graphite phase, microstructure, fractal analysis, parameters, shape, distribution
1. Anisovich, A. G. Praktika metallograficheskogo issledovaniya materialov: monografiya / A. G. Anisovich, I. N. Rumyanceva. -Minsk: Belarus. nauka, 2013. – 221 s.
2. Timchenko, E. V. Cifrovaya opticheskaya mikroskopiya: ucheb. Posobie / E. V. Timchenko, P.E. Timchenko. – Samara: Izd-vo Samar. gos. erokosm. un-ta, 2015. – 104 s.
3. Anisovich, A. G. Iskusstvo metallografii: ispol'zovanie metodov opticheskogo kontrastirovaniya / A. G. Anisovich // Vesti NAN Belarusi. Ser. fiz. tehn. nauk. 2016 № 1. – S. 36–42.
4. Anisovich, A. G. Primenenie polyarizovannogo sveta v analize metallov i splavov / A. G. Anisovich // Lit'e i metallurgiya, 2012 № 3(67). – S. 146–151.
5. Anisovich, A. G. Vizualizaciya poverhnosti metodom differencial'no-interferencionnogo kontrasta / A. G. Anisovich, I. N. Rumyanceva // Lit'e i metallurgiya, 2013 № 3(72). – S. 156–162.
6. Panteleev, V. G. Komp'yuternaya mikroskopiya / V.G. Panteleev, O.V. Egorova, E.I. Klykova. - M.: Tehnosfera, 2005. – 304 c.
7. Kuc, Yu. V. Sovremennye metody issledovaniya mikrostruktury s pomosch'yu komp'yuternogo materialovedeniya s ispol'zovaniem prikladnyh programm / Yu. V. Kuc, A. Yu. Povstyanoy. - Luckiy nacional'nyy tehnicheskiy universitet. - S. 323-329.
8. Anisovich, A. G. Opredelenie balla zerna stali komp'yuternymi metodami / A. G. Anisovich, I. N. Rumyanceva, L. V. Bislyuk // Lit'e i metallurgiya. - 2010 № 3. - S. 100-104.
9. Anisovich, A. G. Ocenka oshibok operatora pri kolichestvennom analize struktury komp'yuternymi metodami / A. G. Anisovich, A. V. Basalay // Lit'e i metallurgiya. - 2012. - №4(68). - S. 145-150.
10. Serra, J. Image Analysis and Mathematical Morphology / J. Serra. – London: Academic Press.,1992. – P.329.
11. Povstyanoy, O. Yu. Morfologicheskoe opisanie, analiz i obrabotka izobrazheniy mikrostruktury sopel dlya peskostruynoy obrabotki, kotorye izgotovleny metodami poroshkovoy metallurgii / O. Yu. Povstyanoy, V.A. Sichuk, V.D. Rud', O.V. Zabolotniy // Nauchnye zametki. – Luck: LNTU, 2013 – Vypusk 41 S.203-210.
12. Mardia, K. V. A spatial thresholding method for image segmentation, IEEE Trans. / K. V. Mardia, T. J. Hainsworth // Pattern Anal. Mach. Intell. 10, (1988). - S. 919–927.
13. Latypova, N. V. Fraktal'nyy analiz: ucheb. posobie / N. V. Latypova. – Izhevsk: Izdatel'skiy centr «Udmurtskiy universitet», 2020. – 120 s.
14. Mandel'brot, B. Fraktal'naya geometriya prirody / B. Mandel'brot. – M.: In-t komp'yuter. issledovaniy, 2002. – 656 s.
15. Socenko, O. V. Komp'yuternaya DLA-model' formirovaniya sharovidnogo grafita v vysokoprochnom chugune / O. V. Socenko. - Nacional'naya metallurgicheskaya akademiya Ukrainy. - Dnepropetrovsk. - S. 3-9.
16. Krylov, B. A. Fraktal'nyy analiz polutonovyh izobrazheniy / B. A. Krylov. - S. 112-114.
17. Privezencev, D. G. Obzor fraktal'nyh metodov cifrovoy obrabotki izobrazheniy v metallografii / D. G. Privezencev, A. L. Zhiznyakov. - S. 133-141.
18. Konyuhov, A. L., Rukovodstvo k ispol'zovaniyu programmnogo kompleksa ImageJ dlya obrabotki izobrazheniy: ucheb.-metod. posobie / A. L. Konyuhov. – Tomsk: kafedra TU, TUSUR, 2012. – 105 s.