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Automated Control Parameters Systems of Technological Process Based on Multiprocessor Computing Systems

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Advances in Computer Vision (CVC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 944))

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Abstract

The paper considers the development features and the use of a multiprocessor computing system with its mathematical focus and software for simulation of heat treatment modes of steel billets. Objective is to develop a simulation for the heat treatment mode of a long steel billet that can be used for recrystallization and spheroidizing annealing of calibrated steel. The proposed use of modern multiprocessor computing technology strives to increase the speed and productivity of computing, which ensures effective control of the process. By using special software, a multiprocessor computing system is able to set and control the required temperature conditions on the entire cross-sectional plane of the billet during heating and holding, and if necessary, it can control the heat treatment of steel in the annealing temperature range. A multiprocessor computing system with special software includes mathematical simulations in the form of the heat equations. Such equations are solved by splitting methods. Thanks to this approach, the solution of a two-dimensional equation reduces to a sequence of integrating one-dimensional equations of a simpler structure. The use of a numerical-analytical method ensures the economic and sustainable algorithms for solving problems of such type. There experiments were conducted with the study of the properties of steel billets. The results of the experiments allow recommending the proposed approach to creating simulations of metal processing speeds for the development of new technological processes.

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Correspondence to Volodymyr Busygin .

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Shvachych, G., Moroz, B., Pobocii, I., Kozenkov, D., Busygin, V. (2020). Automated Control Parameters Systems of Technological Process Based on Multiprocessor Computing Systems. In: Arai, K., Kapoor, S. (eds) Advances in Computer Vision. CVC 2019. Advances in Intelligent Systems and Computing, vol 944. Springer, Cham. https://doi.org/10.1007/978-3-030-17798-0_53

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