Аннотация
Optimization of the composition of rubber compounds is a complex and multifactorial process due to the variety of components used and the complex relationships between them. Conducting a series of experimental studies to select the optimal formulation requires a significant investment of time, raw materials and laboratory resources. In this paper, an approach based on the use of mathematical modeling methods is proposed, which makes it possible to predict the properties of rubber compounds and determine their optimal composition. Special attention is paid to the use of natural zeolite and oil refining waste as modifying additives, which helps to increase the efficiency and environmental friendliness of production. The additives used include the organic fraction of oil sludge and natural zeolite from the Chankanai deposit. Based on a priori information, an experimental design was developed to enable the construction of adequate mathematical models using the least squares method. These models describe the relationships between the component composition and both performance properties and economic criteria. An optimization problem is then formulated based on these models, followed by an analysis of its features and the selection of the most effective solution method. The effectiveness of the proposed approach is demonstrated through an example of optimizing the rubber compound formulation. Modification of rubber compounds makes it possible to obtain composite materials with increased oil resistance, stable elastic and strength properties. This approach helps to reduce production costs by using affordable raw materials and simplifying the technological process. The developed computational model for determining the optimal composition of a rubber compound can be used both in scientific research and in industrial practice in the development of new formulations of elastomeric compositions.