Study of the influence of thecomposition and structure of ст3псsteel on hardness
DOI:
https://doi.org/10.30838/J.PMHTM.2413.230419.133.287Keywords:
hardness, steel, perlite, fractal, matrix of planning, modelAbstract
Formulation of theproblem. The use of indirect methods of quality control of metal rolling is due to many factors, among which the influence of the chemical composition and technological regimes should be noted. These factors affect the structure and the mechanical characteristics, in particular, low carbon steels. In the work for the prediction of hardness indicators of Ст3псsteel, it is proposed to apply the methodology of planning experiments, taking into account the influence of elements of chemical composition and structure. To estimate the ferrite-pearlite structure, it is proposed to use the fractal formalism, the use of which allows you to track changes in the structure by determining the fractal dimension of its elements. Materials and methods. Using the methodology of planning experiments, the effect of the chemical composition and structure on the mechanical properties of low-carbon Ст3пс lowalloyed steel was investigated. Results. By implementing the experiment planning matrix, a mathematical model was obtained for evaluating the hardness of Ст3псsteel, taking into account the influence of elements of chemical composition and the fractal dimension of perlite. The model is adequate according to the criteria of Cochran's and Fisher. Based on the analysis of the coefficients of the regression equation, a histogram of the influence of the elements of the chemical composition of the studied steel on the hardness indicators was constructed. The growth of the fractal dimension of perlite from 1,785 to 1,946 with an increase in the carbon content from 0,14 to 0,22 % was recorded, which indicates the possibility of its use in assessing the structure of low-carbon steels. Conclusions. A method for assessing the hardness of St3ps steel has been developed, taking into account the influence of elements of chemical composition and fractal dimension of perlite. The results indicate the prospects forthe application of the theory of fractals in the prediction of the mechanical properties of low-carbon steels.
References
Skoblo T.S., Vorontsov N.M., Budagyants N.A. and others. Prokatnyye valki iz vysokouglerodistykh staley [Rolling rolls made of high-carbon steels]. Moscow : Metallurgiya Publ., 1994, 336 p. (in Russian).
Dubrov Yu., Bolshakov V. and Volchuk V. Puti identifikatsii periodicheskikh mnogokriterial'nykh tekhnologiy [Road periodic identification of multi-criteria Technology]. Saarbrucken : Palmarium Academic Publishing, 2015, 236 p. (in Russian).
Bolshakov V.I., Volchuk V.N. and Dubrov Yu.I. Identifikatsiya mnogoparametricheskikh, mnogokriterial'nykh tekhnologiy iputi ikh prakticheskoy realizatsii [Multiparameter identification, multicriteria techniques and ways of their implementation]. Metaloznavstvo ta termichna obrobka metaliv[Metall Science and Heat Treatment of Metals]. 2013, no.4. pp. 5–11. (in Russian).
Bol’shakov V.I., Volchuk V.N. and Dubrov Yu.I. Etapy identyfikatsiyi bahatoparametrychnykh tekhnolohiy ta shlyakhy yikhrealizatsiyi [Stages multiparameter identification technologies and ways of their implementation]. Visnyk Natsionalʹnoyi akademiyi nauk Ukrayiny [Bulletin of the National Academy of Sciences of Ukraine]. 2013, no. 8, pp. 66–72. (in Ukrainian).
MishutnА., Kroviakov S., PishevO.and Soldo B. Modified expanded clay lightweight concretes for thin-walled reinforced concrete floating structures. Technical Journal, 2017, vol. 11, no. 3, pp. 121124.
Kroviakov S. and Mishutn A. Production technology of modified expanded clay lightweight concrete for floating structures. The Scientific Journal of Cihan University –Sulaimanyia. 2017, vol. 1, no. 4, pp.210.
Bol’shakov V.I., Volchuk V.N. and Dubrov Yu.I. K voprosu o postanovke zadachi identifikatsii fraktal'noy struktury metalla[Statement on the issue of the problem identification of fractal metal structures]. Visnyk Prydniprovs’koyi derzhavnoyi akademiyi budivnytstva ta arkhitektury [Bulletin of Prydniprovs’ka State Academy of Civil Engineering and Architecture]. 2016, no. 5, pp. 35–39. (in Russian).
Volchuk V.N. K opredeleniyu oblasti kompromissa kharakteristik kachestva materialov [By identifying areas compromiseperformance materials quality]. Metallovedenie i termicheskaya obrabotka metallov [Metall Science and Heat Treatment of Metals]. 2015, no. 3, pp. 21–25. (in Russian).
Gurvich A.K. and Ermolov I.N. Ul'trazvukovaya defektoskopiya svarnykh shvov [Ultrasonic testing of welds]. Kyiv : Tekhnika, 1972, 460 p. (in Russian).
Bolshakov V.I., Volchuk V.N. and Dubrov Yu.I. O prognozirovanii kachestva tselevogo produkta v periodicheskikhtekhnologiyakh [Predicting the quality of a desired product in periodic technologies]. Dopovidi Natsionalnoi akademii nauk Ukrainy [Reports of the National Academy of Sciences of Ukraine]. 2014, no. 11, pp. 77–81. (in Russian).
Bol’shakov V.I., Volchuk V.N., Dubrov Yu.I. and Deyneko L.N. Formirovanie modeli prognoza kachestva materiala, osnovannoj na `ekspertnoj ocenke i aktivnom `eksperimente [Formation of a model for predicting the quality of a material based on expert judgment and an active experiment]. Komp'yuternoe materialovedenie i obespechenie kachestva : mater. k 45-mu mezhdunar. sem. po modelirovaniyu i optimizacii kompozitov [Computer Science and Quality Assurance : mater. to the 45th Intern. Sem. on modelingand optimization of composites]. Odessa : AstroPrint, 2006, pp. 146−150. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Fundamentals of fractal modeling. Kyiv, Ukraine : PH "Akademperiodyka" National Academy of Sciences of Ukraine, 2017, 170 p. (in Russian).
Bol’shakov V., Volchuk V. and Dubrov Yu. Fractals and properties of materials. Saarbrucken : Lambert Academic Publishing, 2016, 140 p.
Volchuk V., Klymenko I., Kroviakov S., Orešković M. Method of material quality estimation with usage of multifractal formalism. Tehnički glasnik –Technical Journal, 2018, vol. 12, no. 2, рр. 9397.
Volchuk V.M. K primeneniyu fraktal'nogo formalizma pri ranzhirovanii kriteriyev kachestva mnogoparametricheskikh tekhnologiy[On the Application of Fractal Formalism for Ranging Criteria of Quality of Multiparametric Technologies ]. Metallofizika i noveyshiye tekhnologii[Metal Physics and Advanced Technologies]. 2017, vol. 39, no 3, рp. 949957. (in Russian).
Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Regularization of One Conditionally Ill-Posed Problem of Extractive Metallurgy. Metallofizika i Noveishie Tekhnologii, 2018, vol. 40, no. 9, pр. 11651171.
Bol’shakov V.I., Dubrov Yu.I., Kryulin F.V. and Volchuk V.N. Sposib vyznachennya fraktal’noyi rozmirnosti zobrazhennya[Method for determining fractal dimensionality of an image]. Patent product no. 51439А, UA. MPK 7 G06K9/00, bulletin no. 11, 2002. (in Ukrainian).
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