Modern metallurgical production would be impossible without the improvements that have been made to existing technologies and the concomitant increase in the productivity of the production equipment. Such advances require a continual search for the optimum operating parameters of that equipment. Given the current market conditions, improving the performance characteristics of equipment is becoming a major priority. Accidents, unplanned shutdowns, and high product rejection rates can no longer be tolerated. As for continuous steel-casting machines (CSCM), the main goals are increasing their productivity and improving the quality of the cast ingot. These two indices are directly related to the operating parameters of continuous casters the withdrawal speed and the primary and secondary ingot-cooling regimes. The problems of higher productivity and better ingot quality can thus be solved by optimizing these parameters. The mathematical modeling of metallurgical processes is becoming more and more important. Mathematical modeling makes it possible to optimize production processes with a high degree of efficiency and, thus, to also improve product quality. The modeling entails optimizing the main design and process parameters that affect product yield and obtaining data and algorithms to create modern automated process control systems.
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