MODEL OF ASSESSMENT OF SILICONE ROLLERS

Summary. Formulation of the problem. Establishing the relationship between the structure and properties of materials is one of the main tasks of modern materials science. This problem is mainly due to the incompleteness of formal axiomatics in the identification of the structure of materials. In this paper, it is proposed to use fractal analysis to predict the mechanical characteristics of tubular steels to partially compensate for the incompleteness of the formal structure axiomatics. The urgency of the choice of this approach is due to the need for non-destructive testing of these pipe characteristics during their operation. Object of study. The process of assessing the quality criteria for cast iron rolls by mathematical modeling. Materials and methods of research. Optical microscopy, Shore hardness tester, mathematical modeling. Results and its discussion. The influence of the chemical composition of sheet rolling rolls of the performance ЛПХ17НМдц-63 on their hardness is established. The regression equation describing the relationship between the chemical composition of the working layer of rolls ( 90 mm) and their hardness before thermal treatment (annealing) is obtained. There is an increased content of chromium (up to 17%), which affects the formation of persistent carbides. This leads to an increase in the hardness of the working layer of the rolls, but at the same time their thermal stability decreases. The error in predicting hardness is up to 7%. Conclusions. A mathematical model of the hardness prediction of sheet-rolled cast-iron rolls is obtained, which makes it possible to quickly evaluate their hardness in the production process with minimal costs.