IMPACT OF THE COMPOSITION AND STRUCTURES ON THE PROPERTIES OF MASSIVE PRODUCTS

Authors

DOI:

https://doi.org/10.30838/J.PMHTM.2413.260222.13.628

Keywords:

cast iron rolls, chemical composition, mechanical properties, structure, model, forecast

Abstract

Introduction. The complexity of production technology of massive metal products, which include cast iron rolls, does not allow predicting accurately their mechanical properties in advance. Therefore, most existing models for predicting the mechanical properties of rolling rolls are based on experiment statistics and expert estimates. It is proposed to create a model for forecasting the mechanical properties of rolling mills by evaluating their chemical composition and structure. Materials and methodology. Roller cast iron of the СПХН-49 and СПХН-45 brand was selected as the study material. Metallographic analysis of the rolls structure was carried out in accordance with the State Standard 3443. It was found that the carbide content was in the range of 8… 14 %, plate graphite - 0,5… 1,3 %. The length of inclusions of graphite corresponded to a score of ПГД45…ПГД180. The results of the experiment. Prediction models  of mechanical properties of cast iron rolls СПХН-49 and СПХН-45 depending on their chemical composition and structure were obtained. The maximum error in the prediction of sВ rolls based on the analysis of chemical composition elements is 2,40 %; sизг - 5,85 %; KC – 5,81 % and HSD – 3,19 %. When estimating the mechanical properties of the rolls, based on the analysis of the elements of their structure, the maximum prediction errors were 4,83 % for sВ - 4,83 %; sизг - 4,58 %; KC – 5,74 % and HSD – 2,81 %. The pair correlation coefficients R2 of the obtained models are fixed within 0,55...0,94, which indicates the possibility of using the obtained models as an express method for the rapid determination of the mechanical properties of rolls СПХН-49 and СПХН-45 in the working range of parameters. Histograms of the influence of the studied parameters on the mechanical properties are constructed. Conclusions. As a result of the study of operating range parameters of the chemical composition and structure of the rolls СПХН-49 and СПХН-45, the forecast models of their properties are obtained. The analysis of the literature has allowed the use of expert estimates to rank the selected parameters.

Author Biography

A. S. Bobryk, State Higher Education Institution “Prydniprovskа State Academy of Civil Engineering and Architecture”

Department of Materials Science, Master of Engineering

References

Krivosheev A. E. Cast rolls. Moscow : Metallurgy, 1957, 360 p. (in Russian).

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, 1994, 336 p. (in Russian).

Bol’shakov V.I., Volchuk V.N. and Dubrov Yu.I. Identifikatsiya mnogoparametricheskikh, mnogokriterial'nykh tekhnologiy i puti 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).

Bolshakov V.I., Volchuk V.N. and Dubrov Yu.I. O prognozirovanii kachestva tselevogo produkta v periodicheskikh tekhnologiyakh [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).

Volchuk V.N. Issledovaniya vliyaniya khimicheskogo sostava chugunnykh prokatnykh valkov na ikh mekhanicheskiye svoystva [Studies of the influence of the chemical composition of cast iron rolls on their mechanical properties]. Visnyk Prydniprovs’koyi derzhavnoyi akademiyi budivnytstva ta arkhitektury [Bulletin of Prydniprovska State Academy of Civil Engineering and Architecture]. 2014, no. 5, pp. 12–18. (in Russian).

Volchuk V.N. K opredeleniyu oblasti kompromissa kharakteristik kachestva materialov [By identifying areas compromise performance materials quality]. Metallovedenie i termicheskaya obrabotka metallov [Metall Science and Heat Treatment of Metals]. 2015, no. 3, pp. 21–25. (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.M. and Dubrov Yu.I. Regularization of One Conditionally ill-Posed Problem of Extractive Metallurgy. Metallofizika i Noveishie Tekhnologii. 2018, vol. 40, no 9, рp. 1165−1171.

Bol’shakov Vad.I., Bol’shakov V.I., Volchuk V.N. and Dubrov Yu.I. Systemnyy analiz tekhnolohiyi vyrobnytstva masyvnoho metalevoho lyttya [System analysis techniques of producing solid metal castings]. Visnyk Natsional'noyi akademiyi nauk Ukrayiny [Bulletin of the National Academy of Sciences of Ukraine]. 2015, no. 9, pp. 69–73. (in Ukrainian).

Bolshakov V.I., Volchuk V.M. and Dubrov Yu.I. Primeneniye teoretiko-informatsionnogo podkhoda dlya identifikatsii struktury metalla [The use of information – theoretic approach to identify the structure of the metal]. Visnyk Prydniprovs’koyi derzhavnoyi akademiyi budivnytstva ta arkhitektury [Bulletin of Prydniprovska State Academy of Civil Engineering and Architecture]. 2014, no. 8, pp. 4–9. (in Russian).

Volchuk V., Klymenko I., Kroviakov S. and Orešković M. Method of material quality estimation with usage of multifractal formalism. Tehnički glasnik – Technical Journal. 2018, vol. 12, no. 2, рр. 93–97.

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. 949–957. (in Russian).

Bol’shakov V., Volchuk V. and Dubrov Yu. Fractals and properties of materials. Saarbrucken : Lambert Academic Publishing, 2016, 140 p.

Volchuk V.M. Model’ otsinyuvannya tverdosti chavunnykh valkiv СПХН-43 ta СШХНФ-47 [Model of assessment of the hardness of the iron rollers СПХН-43 and СШХНФ-47]. Metallovedenie i termicheskaya obrabotka metallov [Physical Metallurgy and Heat Treatment of Metals]. 2014, no. 3, pp. 12–19. (in Russian)

Kroviakov S., Zavoloka M., Dudnik L. and Kryzhanovskyi V. Comparison of strength and durability of concretes made with sulfate-resistant portland cement and portland cement with pozzolana additive. Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS. 2019, vol. 10, no. 19, pр. 81–86.

Lyashenko Т., Voznesensky V. and Krovyakov S. Analysis of water effect on fracture toughness in cementbased composites using computational materials science methods. In: International symposium on brittle matrix composites. 2000, pp. 210−219.

Volchuk V. and Tokosov S. Sposib prohnozu mekhanichnykh vlastyvostey chavunnykh valkiv [Method of forecasting mechanical properties of cast-iron rolls]. ScienceRise. 2018, vol. 11. рр. 57–61. (in Ukrainian).

Bolshakov V.I., Volchuk V.M. and Parhomenko O.F. Evaluation of High Strength Steel Fatigue. UDCS'19: Fourth International Iron and Steel Symposium, (April 46, 2019). Karabuk University, Karabuk, Turkey, 2019, vol. 4, рр. 415–417.

Bol'shakov V.I., Volchuk V.N., Deyneko L.N. and Dubrov Yu.I. Kompozitsiya metoda planirovaniya ekstremal'nykh eksperimentov i ekspertnoy informatsii dlya formirovaniya sistemy prognoza kachestva materialov [Composition of a method for planning extreme experiments and expert information for the formation of a material quality prediction system]. Perspektivnyye zadachi inzhenernoy nauki [Perspective Tasks of Engineering Science]. Dnipropetrovsk : GAUDEAMUS, 2001, vol. 2. pp. 203–208. (in Russian).

Dubrov Yu.I., Volchuk V.N. and Bol’shakov V.I. Primeneniye ekspertnoy informatsii pri formirovanii aktivnogo eksperimenta v materialovedenii [Application of expert information in the formation of an active experiment in materials science]. The modeling and optimization in materials science : proc. of 40th Int. Conf. Odessa, 2001, pp. 25–26. (in Russian).

Mishutin А., Kroviakov S., Pishev O. and Soldo B. Modified expanded clay lightweight concretes for thinwalled reinforced concrete floating structures. Technical Journal. 2017, vol. 11, no. 3, pp. 121–124.

Published

2020-04-10