Tokova O. Computer technology for solving problems of inductive modeling of cooling processes for cast metal products

The dissertation work is devoted to increasing the efficiency of modeling thermal processes of cooling of the foundry by developing, on the basis of an inductive approach, computer technology to support the decisions of the molder in the process of manufacturing castings. The problems arising during the formation and cooling of the casting are formulated as problems of structural-parametric identification, and a sequence of stages is proposed for solving these problems on the basis of the combinatorial algorithm of GMDH. Using the combinatorial algorithm GMDH, for the first time, models of the dependence of the cooling temperature of an iron casting in a casting mold on the operating modes of the installation with a sand filler, and the dependence of the physical and mechanical properties of a high-strength cast iron casting on the chemical composition of the melt have been constructed. To improve the accuracy of determining the chemical composition of the melt by comparing the functions describing the cooling process with standards, the method for determining the proximity of these functions when cooling a cast sample has been improved, which differs from the known methods by comparing the values of the cooling temperature only at the characteristic points of the functions that describe the cooling process. A computer technology has been developed for modeling the cooling processes of metal casting products, which is distinguished by the presence of a database of metals and alloys, means of automated solution of the above three problems, as well as analysis and filtrationof cooling curves, which makes it possible to increase the efficiency of support of the caster's decisions in the process of manufacturing castings.