2018 impact factor: 0,362

 

Two-year RSCI impact factor

Five-year RSCI impact factor

download PDF

Abstract

Problem statement: The software complexes used for modeling allow solving technical and technological problems of any complexity. Solutions of the problems of the stress-strain state in the conditions of the technological cycle using various modeling methods remain promising from the point of view of economic indicators for the near future. The analytical information obtained during the simulation is the basis for the development of technological processes, improving the modes of technological operations, allows you to quickly adjust the settings of equipment. The purpose of the study. To conduct a comparative analysis of well-known modeling tools for metalworking processes by pressure. The methods used. The article analyzes the existing modeling methods that are widely used both in production practice and for solving scientific problems. Special attention is paid to cellular automata as a promising modeling method that allows obtaining analytical information during the development of the modeling object. Novelty. The advantages and disadvantages of existing tools for modeling the processes of metal working by pressure are revealed. Examples of the application of various methods and predictive analytics tools used to simulate hot and cold rolling in solving problems of the stress-strain state of the workpiece are given. Directions of development. Software complexes used for modeling metalworking processes by pressure are an integral part of the work carried out as part of the digitalization of production processes. The use of cellular automata makes it possible to study the behavior of an object taking into account the dynamics of its change over time. The resulting information can be used to predict changes in the simulated object during its processing, which is an integral part of process control.

Keywords:

modeling, cellular automata, metal processing by pressure, hot rolling, cold rolling, stress-strain state.

Lopatina Ekaterina V. – postgraduate student of the Department of Materials Processing Technologies, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Polyakova Marina A. – Dr. Sci. (Eng.), associate professor, professor of Department of Materials Processing, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Voronin Konstantin M. – Ph.D. (Eng.), Associate Professor, Department of Urban Studies and Engineering Sys-tems, Nosov Magnitogorsk State Technical University, Magnitogorsk, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.