Abstract
The formation of aluminum melt in electric resistance mixers is a complex physical and chemical process, which is characterized by sequential mixing of raw aluminum obtained by electrolysis and its interaction with various master alloys and fluxes. At this stage, the formation of a given chemical composition and quality of aluminum alloys occurs through refining and alloying of the melt. This stage of production is associated with the presence of an excessive number of corrective actions due to the multitasking and multifactorial nature of the metallurgical process, which leads to an increase in the melt preparation time, a decrease in the productivity of the electric resistance mixer and an increase in costs per unit of finished product. Therefore, the improvement of the technology of aluminum melt formation in electrical resistance mixers and the development of optimal resource-saving modes based on mathematical models is an urgent scientific and practical task of modern metallurgy. In this regard, mathematical modeling of metallurgical processes using software and instrumental systems is of great importance, which ensures high quality of aluminum alloys as a result of predicting the final parameters of the chemical composition, taking into account the properties of the feedstock. Therefore, within the framework of the intensive digital transformation of the metallurgical industry, it is relevant to develop and industrially apply mathematical models that allow optimizing the technological process for producing aluminum alloys, reducing energy and material costs, as well as increasing the productivity of foundry mixers.
Keywords:
aluminum melt, electric resistance mixer, casting ladle, mathematical model, optimization problem.