MODELING TECHNICAL CHARACTERISTICS OF FIRE-RESISTANT MATERIALS

The article proposes methods for experimental-statistical modeling and optimization of the compositions of high-temperature materials.

To effectively conduct research in the development of new compositions of refractory materials, methods of mathematical modeling and statistical processing of experimental data were used.

When modeling the development of compositions of refractory materials, a regression analysis method is proposed. This is a statistical analytical method that allows you to calculate the function of one dependent variable on one or more independent variables. Using regression analysis, it is possible to model the relationship between the selected technical characteristics of refractory materials and the components that make up the refractory material being developed.

The results of mathematical modeling are presented using the example of one composition; a comparison of the calculated results with the experimental ones is also given.

Using mathematical modeling of the composition of the charge of high-temperature materials, the technical characteristics of the finished product were predicted. The use of this method will make it possible to optimize the process of developing refractory formulations with given characteristics, which will increase the efficiency of the process of obtaining refractory materials with given parameters.