Abstract
This paper is aimed at studying the problem of developing a heat treatment model of metal. Advantageously, such a model can be used for recrystallization and spheroidizing annealing of calibrated steel. The proposed model is based on the heat treatment method of a billet from low- and medium-carbon steels intended for the fasteners’ manufacture. The achieved technical result provided a process for monitoring parameters in the heat treatment of metal. In particular, the temperature in the center of the metal product cross-section is controlled that provides the material with the necessary properties. The proposed approach allows avoiding low-productivity furnaces, which are applied to anneal steel before it is stamped. The multiprocessor computing complex with its specially oriented software allows managing the temperature of heating, holding and cooling along the entire plane of the billet section, thereby improving the quality of heat-treated steel. This model application allows reducing the duration of the technological process of spheroidizing metal annealing, reducing energy consumption, and significantly improving operating conditions, including the environmental state. Besides, the presented model allows synchronizing the technological process of metal heat treatment with the technological process of manufacturing fasteners, i.e., combine wire production into a standard technological line, which includes the preparation of wire rod, the billet heat treatment, and cold drawing of steel. There were carried out the experimental studies of the heat treatment of a long product. For this, a wire of a 20 mm diameter from steel 20G2G was subjected to heat treatment. Experimental studies have shown that metal while saving the required hardness, has the necessary elasticity properties.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
V. Ivaschenko, N. Alishov, G. Shvachych, M. Tkach, Latest technologies based on use of high-efficient multiprocessing computer systems. J. Qafqaz Univ. Math. Comput. Sci. Baku Azerbaijan 1(1), 44–51 (2015)
V. Ivaschenko, G. Shvachych, M. Tkach, Prospects of network interface Infiniband in multiprocessor computer system for solving problems of calculations’ area spreading. Syst. Technol. Dnipropetrovs’k 2(91), 32–43 (2013)
G. Shvachych, A. Shmukin, Features of designing parallel computational algorithms for PCs in heat and mass transfer problems. EEJAT 2(8), 42–44 (2004)
G. Shvachych, A. Shmukin, On the concept of unlimited parallelism in heat conduction problems. East Eur. J. Adv. Technol. 3(9), 81–84 (2004)
V. Ivaschenko, G. Shvachych, M. Tkach, Specifics of constructing of maximally parallel algorithmic forms of the solving of the applied tasks, in System Technology: Regional Interuniversity Collection of Proceedings, 3–9, 91 (2014)
I. Dolzhenkov, V. Bolshakov, V. Dolzhenkov, Equipment of thermal shops. Dnepropetrovsk: PGASiA, 320 p. (2004)
G. Shvachych, A. Sobolenko, Investigation of temperature regime of annealing furnaces of mine type of wire riots. Theory Pract. Metall. 1, 59–62 (2003)
G. Khasin, A. Dianov, T. Popova, L. Kukartseva, A. Shamov, Electro-thermal treatment and warm drawing of steel. Metallurgy 152 (1984)
M. Bobylev, V. Grinberg, D. Zakirov, Y. Lavrinenko, Preparation of structure during electrothermal treatment of steels for high-strength fasteners. Steel 11, 54–60 (1996)
D. Zakirov, M. Bobylev, Y. Lavrinenko, L. Lebedev, V. Syuldin, Patent of Russian Federation #2137847, cl. C 21 D 1/32, C 21 D 9/60, C 21 D 11/00. Installation for heat treatment of calibrated steel. Patent holder: Open Joint-Stock Company Avtonormal. No. 98117255/02; declared 09/16/1998; publ. 09/20/1999
I. Dolzhenkov, Spheroidization of carbides in steel. Metallurgy 143 (1984)
V. Ivashchenko, E. Bashkov, G. Shvachych, M. Tkach, Patent 61944 of Ukraine, IPC C21D 1/26 (2006.01), G06F 15/16 (2006.01). Installation for heat treatment of long-steel products. Owners: National Metallurgical Academy of Ukraine, Donetsk National Technical University. No.u201014225; declared 11/29/2010; publ.08/10/2011, # 15
V. Ivaschenko, G. Shvachych, A. Sobolenko, D. Protopopov, Information system of intelligent support of decision-making for rolling process. East. Eur. J. Enterp. Technol. 3, 4–9 (2003)
G. Shvachych, A. Sobolenko, D. Protopopov, A. Chuev, Information system for tracking a pipe rolling with tandem conditions. Metall. Pract. 5-6, 76–82 (2003)
G. Shvachych, V. Kolpak, M. Sobolenko, Mathematical modeling of high-speed modes of heat treatment of long products. Theory Pract. Metall. Natl. Sci. Tech. J. 4-5(59–60), 61–67 (2007)
G. Shvachych, On the algebraic approach in the concept of distributed modeling of multidimensional systems. Theory Pract. Metall. 6(61), 73–78 (2007)
G. Shvachych, Mathematical modeling of problems of metallurgical thermophysics based on multiprocessor parallel computing systems. Modeling 1(18), 60–65 (2008)
G. Shvachych, A. Shmukin, Some features of the design of algorithms for multiprocessor computing systems, in Interstate Scientific-Methodological Conference “Problems of Mathematical Modeling”. Dneprodzerzhinsk, pp. 112–114 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Shvachych, G., Moroz, B., Martynenko, A., Hulina, I., Busygin, V., Moroz, D. (2021). Model of Speed Spheroidization of Metals and Alloys Based on Multiprocessor Computing Complexes. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_4
Download citation
DOI: https://doi.org/10.1007/978-981-15-7106-0_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7105-3
Online ISBN: 978-981-15-7106-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)