Application of regression analysis for research of influence of technological parameters on quality indicators of completed polymers

The article discusses the application of the multiple regression method to study the effect of four technological parameters (the temperature of calcination of the filler powder, the time of grinding in the mill during mechanical-chemical processing, the time of mixing and holding of the components, the percentage of the additive introduced) on the values of the two main quality indicators (ultimate strength at tensile strength, Shore A hardness) of new NP compositions based on SKTN A silicone rubber with powdered aluminum hydroxide and grade B quartz. The technological cycle of NP production includes the mechanochemical treatment of the filler using a hydrophobizing substance (silane). A regression model for two characteristics of NP was built in MS Excel on the basis of 25 different combinations of values of four influencing technological factors. Adequate linear models have been obtained that describe with high accuracy the dependence of the properties of the oil on technological factors. The level of ultimate tensile strength is significantly influenced by only two factors, while hardness is influenced by all the factors considered.