Problem of identification of materials structures based on fractal representations
https://doi.org/10.17073/0368-0797-2021-4-311-316
Abstract
The research work is devoted to the control of materials structures described on the basis of fractal representations. The formation of fractal structures of materials is carried out due to positive feedback. The article describes the first stage of the work – statements of the problem of identification of materials structures based on fractal representations. Many recent studies indicate the fractal nature of material structures, while the mechanisms of positive feedbacks are based on the generation of fractal structures. At the present stage, the fundamental physicochemical laws governing the emergence and transformation of material structures are developed and presented in such a way that it is difficult to use them for the synthesis of structure control algorithms. In other words, they do not meet the requirements of control models – they do not reflect the dependence of the output actions on external factors. Therefore, it seems useful to go along the path of creating fractal models of structures that are identification structures of materials and then development of control actions, in particular on the parameters of positive feedback for predicting and changing the material structure in the required direction. This corresponds to the method of control algorithms synthesis with an assessment of the control object state and choice of controller gain coefficient. In this work, the statements of the problem of identification images of natural materials structures are formulated. Firstly, fractal models are built using well-known (standard) fractals, and secondly, fractal models are generated using the fractal structure formation mechanism. In the future, these statements of the problem will be used to develop methods and algorithms for materials structuresidentification in various industries, including mining and metallurgical industries.
Keywords
About the Authors
L. P. MyshlyaevRussian Federation
Leonid P. Myshlyaev, Dr. Sci. (Eng.), Prof. of the Chair “Automation and Information Systems”, Siberian State Industrial University, Director, LLC “Research Center of Control Systems”
42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007
55A Stroitelei Ave., Novokuznetsk, Kemerovo Region – Kuzbass 654005
K. G. Venger
Russian Federation
Konstantin G. Venger, Cand. Sci. (Eng.), Vice Governor of Kuzbass for Economic Development
62 Sovetskii Ave., Kemerovo, 650991
V. V. Grachev
Russian Federation
Vitalii V. Grachev, Cand. Sci. (Eng.), Assist. Prof. of the Chair “Automation and Information Systems”, Siberian State Industrial University, LLC “Research Center of Control Systems”
42 Kirova Str., Novokuznetsk, Kemerovo Region – Kuzbass 654007
55A Stroitelei Ave., Novokuznetsk, Kemerovo Region – Kuzbass 654005
K. A. Ivushkin
Russian Federation
Konstantin A. Ivushkin, Cand. Sci. (Economics), General Director
9 Kuznetskoe Route, Novokuznetsk, Kemerovo Region – Kuzbass 654034
References
1. Emel’yanov S.V., Korovin S.K. New Types of Feedback: Control under Uncertainty. Moscow: Nauka, Fizmatlit, 1997, 352 p. (In Russ.).
2. Robert C., Lee K. Optimal Estimation, Identification, and Control. Cambridge: MIT Press, 1966, 152 p.
3. Methods of Classical and Modern Theory of Automatic Control. In 3 vols. Vol. 1. Analysis and Statistical Dynamics of Automatic Control Systems. Egupov N.D. ed. Мoscow: Bauman STU, 2004, 748 p. (In Russ.).
4. Benoit B. Mandelbrot. The Fractal Geometry of Nature. New York: Freeman, 1982, 468 p.
5. Peitgen H.-O., Richter P.H. The Beauty of Fractals. Images of Complex Dynamical Systems. Berlin: Springer-Verlag, 1986, 169 p.
6. Jens F. Fractals. New York: Plenum Press, 1988, 217 p.
7. Benoit B. Mandelbrot. Fractals in Physics. Trieste, ICTP, 1985, 623 p.
8. Vasil’ev N. I., Datsenko E.N., Orlova I.O., Avakimyan N.N., Leshkovich N.M. Fractal approach to enhanced oil recovery. Bulatovskie chteniya. 2017, vol. 2, pp. 54–56. (In Russ.).
9. Khasanov M.M. Fractal characteristics of control objects dynamics. Avtomatika i telemekhanika. 1994, no. 2, pp. 59–67. (In Russ.).
10. Zhikharev L. A. Fractals in three-dimensional space. I-fractals. Geometry & Graphics. 2017, vol. 5, no. 3, pp. 55–66. (In Russ.). https://doi.org/10.12737/article_59bfa55ec01b38.55497926
11. Avnir D. The Fractal Approach to Heterogeneous Chemistry. 1989, 232 p.
12. Avnir D., Farin D., Pfeifer P. A discussion of some aspects of surface fractality and of its determination. New Journal of Chemistry. 1992, vol. 16, no. 4, pp. 439–449.
13. Talibuddin S., Runt J.P. Reliability test of popular fractals techniques applied to small 2-dimensional self-affine data sets. Journal of Applied Physics. 1994, vol. 76, no. 9, pp. 5070–5078. https://doi.org/10.1063/1.358490
14. Mirzadzhanzade A.Kh., Khasanov M.M., Bakhtizin R.N. Oil and gas production processes – A dynamic system. Uchenye zapiski Azerb. gos. neftyanoi akademii. 1992, no. 1, pp. 24–30. (In Russ.).
15. Lewerenz H.J. Fractal photocorrosion of silicon electrodes in concentrated ammonium fluoride. Electrochemical and Solid-State Letters. 2007, vol. 10, no. 8, pp. 51–55. https://doi.org/10.1149/1.2742503
16. Hu Y.-Q., Zhao Y.-P., Yu T.-X. Fractal pattern formation in anodic bonding of pyrex glass/Al/Si. International Journal of Nonlinear Sciences and Numerical Simulation. 2008, vol. 9, no. 4, pp. 315–322. https://doi.org/10.1515/IJNSNS.2008.9.4.315
17. Bao L., Ma J., Long W., He P., Zhang T., Nguyen V. Fractal analysis in particle dissolution: A review. Reviews in Chemical Engineering. 2014, vol. 30, no. 3, pp. 261–287. https://doi.org/10.1515/revce-2013-0032
18. Cipriani F., Sauvageot J.L. Fredholm modules on P.C.F. self-similar fractals and their conformal geometry. Communications in Mathematical Physics. 2009, vol. 286, no. 2, pp. 541–558. https://doi.org/10.1007/s00220-008-0673-4
19. Ivanova V.E., Balankin A.S., Bunin I.Zh., Oksogoev A.A. Synergetics and Fractals in Materials Science. Мoscow: Nauka, 1994, 383 p. (In Russ.).
20. Kuznetsov P.V., Panin V.E., Schreiber J. Fractal dimension as a characteristic of deformation stages of austenite stainless steel under tensile load. Theoretical and Applied Fracture Mechanics. 2001, vol. 35, no. 2, pp. 171–177. https://doi.org/10.1016/S0167-8442(00)00058-6
21. Derevyanko A.I., Syao Tszefan. Fractal model of metal surface corrosion. Sistemnye tekhnologii. Regional’nyi mezhvuzovskii sbornik nauchnykh rabot. 2011, no. 3 (74), pp. 152–156. (In Russ.).
22. Holten T., Jossang T., Meakin P., Feder J. Fractal characterization of two-dimensional aluminum corrosion fronts. Physical Review E. 1994, vol. 50, no. 2, pp. 754–759. https://doi.org/10.1103/PhysRevE.50.754
23. Mansouri H., Ibrik K., Bensalah N., Abdel-Wahab A. Anodic dissolution of pure aluminum during electrocoagulation process: Influence of supporting electrolyte, initial pH, and current density. Industrial & Engineering Chemistry Research. 2011, vol. 50, no. 23, pp. 13362–13372. https://doi.org/10.1021/ie201206d
24. Starovackaya S.N., Myshlyaev L.P., Tsiryapkina I.V. Materials structure description by fractal complex. In: External Fields Processing and Treatment Technology and Preparation of Metals and Alloys Nanostructure: Int. Seminar Articles. Gromov V. ed. Siberian State Industrial University: Publishing Center SibSIU, 2014, 348 p.
25. Grachev V.V., Myshlyaev L.P., Tsiryapkina A.V., Makarov G.V., Salamatin A.S., Raskin M.V. Development of control systems for technical and socio-economic facilities with positive feedback (Research report). Report on the State assignment of the Ministry of Education and Science no. 8611BCh for 2019. Work code 8.8611.2017 / BC, no. of state registration АААА-А17-117033010034-9. Inv. AAAAB20-220011790022-6. (In Russ.).
Review
For citations:
Myshlyaev L.P., Venger K.G., Grachev V.V., Ivushkin K.A. Problem of identification of materials structures based on fractal representations. Izvestiya. Ferrous Metallurgy. 2021;64(4):311-316. (In Russ.) https://doi.org/10.17073/0368-0797-2021-4-311-316