Modelling and Solving Problems of Sustainable Efficiency of Technological Processes in Metallurgy

Abstract

Through a comparative analysis, this study investigates the development, simulation, and application of mathematical models for integrated analysis of copper rod production in order to improve product quality, reduce costs, and minimize risks. The purpose of this article is achieved by creating mathematical descriptions of real processes, which are then used to conduct computer experiments. In contrast to the traditional molecular dynamic methods, this study used information technology to obtain the characteristics of the flow field in technological equipment. The novelty lies in: integration of thermomechanical modeling with an optimization algorithm; introduction of a criterion minimizing mechanical property variation; consideration of reduction and redistribution effects on roll wear; possibility of adaptive real-time control. An information analysis of the profiles of copper melt flow velocities in a wide range of temperatures in the Copper Rod Production Plant Kazkat is presented. Information Technology fulfils the need to address the problem of determining the optimal values of temperature, rolling speed, and other parameters to achieve the best quality and productivity of copper rod production processes. Based on these findings, this study proposes the optimization directions for the temperature field profile in the rolling rolls, which leads to a decrease in roll wear and an increase in the uniformity of the wire rod structure, focusing on improving microstructural properties.