CLASSIFICATION RULE FOR DETERMINING THE TEMPERATURE REGIME OF INDUCTION GRAY CAST IRON

Keywords: induction melting, high-temperature regime, low-temperature regime, slag, temperature control, factor-signs, classifying rule

Abstract

The complexity of using instruments for measuring the technological parameters of induction melting in a continuous mode, and sometimes the impossibility of this, requires the creation of reliable indirect methods for assessing the numerical values of these parameters. This is especially important for quality control of control systems that ensure a given melting temperature regime. The paper proposes a classification rule based on parametric classification methods, which makes it possible to determine the temperature regime of induction melting based on the SiO2 content in the slag and the distribution coefficient.

Checking the classifying ability of the obtained rule showed that it is high, since for all the numerical data of the factor-signs, both the high-temperature and low-temperature modes were classified correctly. The restrictions on the application of the classification rule are shown, among them: the restrictions imposed by the range of variation of the values of the attribute factors, and the restrictions imposed by the small sample of the initial data, as well as the arbitrary area of their distribution in the space of the factor-attributes.

The rule is presented in a normalized form, and also converted to natural form for ease of practical use.

Application of the rule can be recommended to technologists of metallurgical production of foundries to check the compliance of the technological process operations with the specified melting regulations. It can also be used to diagnose processes or temperature control systems that determine the quality of the resulting cast iron. To do this, it is enough to substitute the actual values of SiO2, and Kd into the classification rule. The value of the distribution coefficient Кd is calculated according to the actual data on the content of FeO and MnO in the slag

Downloads

Download data is not yet available.

Author Biographies

Iraida Stanovska, Odessa National Polytechnic University

Department of Higher Mathematics and Modeling Systems

Vasyl Duhanets, State Agrarian and Technical University in Podilia

Department of Technical Service and General Technical Disciplines

Faculty of Engineering and Technology

Lada Prokopovych, Odessa National Polytechnic University

Department of Cultural Studies, Art and Culture Philosophy Studies

Serhiy Yakhin , Poltava State Agrarian Academy

Department of Industrial Engineering

References

Puliaiev, A., Orendarchuk, J., Penziev, P., Akimov, O., Marynenko, D., Marchenko, A. (2017). Development of a system for organizing a modular design and technological preparation for the production of cast iron pistons for internal combustion engines. Technology Audit and Production Reserves, 3 (1 (35)), 23–27. doi: https://doi.org/10.15587/2312-8372.2017.105636

Akimov, O. V., Marchenko, A. P. (2008). Eksperimental'nye issledovaniya i komp'yuternoe modelirovanie materialov dlya blok-kartera DVS. Eastern-European Journal of Enterprise Technologies, 5 (1 (35)), 52–57.

Demin, D. A., Pelikh, V. F., Ponomarenko, O. I. (1998). Complex alloying of grey cast iron. Litejnoe Proizvodstvo, 10, 18–19.

Demin, D. A., Pelikh, V. F., Ponomarenko, O. I. (1995). Optimization of the method of adjustment of chemical composition of flake graphite iron. Litejnoe Proizvodstvo, 7-8, 42–43.

Trauzel', D., Shlyukaber, Donbah, F. (2003). Realizatsiya spetsial'nyh tehnologicheskih i metallurgicheskih zadach v induktsionnyh pechah sredney chastoty. Liteyshchik Rossii, 5, 20–23.

Silkin, E. (2007). Realizatsiya i sposoby upravleniya ventilyami v invertorah toka preobrazovateley chastoty dlya ustanovok induktsionnogo nagreva i plavki metallov. Silovaya elektronika, 3, 108–114.

Roberts, D. G., Hodge, E. M., Harris, D. J., Stubington, J. F. (2010). Kinetics of Char Gasification with CO2 under Regime II Conditions: Effects of Temperature, Reactant, and Total Pressure. Energy & Fuels, 24 (10), 5300–5308. doi: https://doi.org/10.1021/ef100980h

Kim, S. K., Park, C. Y., Park, J. Y., Lee, S., Rhu, J. H., Han, M. H. et. al. (2014). The kinetic study of catalytic low-rank coal gasification under CO2 atmosphere using MVRM. Journal of Industrial and Engineering Chemistry, 20 (1), 356–361. doi: https://doi.org/10.1016/j.jiec.2013.03.027

Demin, D. A. (1998). Change in cast iron’s chemical composition in inoculation with a Si-V-Mn master alloy. Litejnoe Proizvodstvo, 6, 35.

Endo, M., Yanase, K. (2014). Effects of small defects, matrix structures and loading conditions on the fatigue strength of ductile cast irons. Theoretical and Applied Fracture Mechanics, 69, 34–43. doi: https://doi.org/10.1016/j.tafmec.2013.12.005

Fourlakidis, V., Diószegi, A. (2014). A generic model to predict the ultimate tensile strength in pearlitic lamellar graphite iron. Materials Science and Engineering: A, 618, 161–167. doi: https://doi.org/10.1016/j.msea.2014.08.061

Cheng, Y., Huang, F., Li, W., Liu, R., Li, G., Wei, J. (2016). Test research on the effects of mechanochemically activated iron tailings on the compressive strength of concrete. Construction and Building Materials, 118, 164–170. doi: https://doi.org/10.1016/j.conbuildmat.2016.05.020

Demin, D. (2020). Constructing the parametric failure function of the temperature control system of induction crucible furnaces. EUREKA: Physics and Engineering, 6, 19–32. doi: https://doi.org/10.21303/2461-4262.2020.001489

Shumihin, V. S., Kutuzov, V. P., Hramchenkov, A. I. et. al.; Aleksandrov, N. N. (Ed.) (1982). Vysokokachestvennye chuguny dlya otlivok. Moscow: Mashinostroenie, 222.

Zavertkin, A. S. (2013). The influence of the lining’s manufacturing technology and of cast iron’s melting in induction furnaces on the slag forming. Novye Ogneupory (New Refractories), 1, 36–39.

Ponomarenko, O., Trenev, N. (2013). Computer modeling of crystallization processes as a reserve of improving the quality of pistons of ICE. Technology Audit and Production Reserves, 6 (2 (14)), 36–40. doi: https://doi.org/10.15587/2312-8372.2013.19529

Vasenko, Y. (2012). Technology for improved wear iron. Technology Audit and Production Reserves, 1 (1 (3)), 17–21. doi: https://doi.org/10.15587/2312-8372.2012.4870

Aouati, M. (2018). Improving the accuracy of classifying rules for controlling the processes of deculfuration and dephosphorization of Fe-C melt. Technology Audit and Production Reserves, 2 (3 (46)), 10–18. doi: https://doi.org/10.15587/2312-8372.2019.169696

Mourad, A. (2017). Parametric identification in the problem of determining the quality of dusulfusation and deposphoration processes of Fe-C alloy. Technology Audit and Production Reserves, 2 (1 (34)), 9–15. doi: https://doi.org/10.15587/2312-8372.2017.99130

Demin, D. (2017). Synthesis of optimal control of technological processes based on a multialternative parametric description of the final state. Eastern-European Journal of Enterprise Technologies, 3 (4 (87)), 51–63. doi: https://doi.org/10.15587/1729-4061.2017.105294


👁 125
⬇ 83
Published
2021-01-29
How to Cite
Stanovska, I., Duhanets, V., Prokopovych, L., & Yakhin , S. (2021). CLASSIFICATION RULE FOR DETERMINING THE TEMPERATURE REGIME OF INDUCTION GRAY CAST IRON. EUREKA: Physics and Engineering, (1), 60-66. https://doi.org/10.21303/2461-4262.2021.001604
Section
Engineering

Most read articles by the same author(s)