Open AccessComputer modelling-based selection of accelerated cooling parameters for advanced high-strength structural steel
Author(s) -
В. Г. Ефременко,
D. S. Zotov,
V. І. Zurnadzhy,
Roman Kussa,
Volodymyr Savenko,
R I Sagirov,
Olena Bocharova,
А. V. Efremenko
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1037/1/012030
Subject(s) - microstructure , selection (genetic algorithm) , computer science , water cooling , thermal , mechanical engineering , structural engineering , engineering , materials science , metallurgy , thermodynamics , machine learning , physics
The article describes the working principles and configuration of the computer system applied for selecting parameters of accelerating water cooling of rolled sheets made of low-carbon advanced strength steel. The system is based on mathematical models using empirical regression equations that describe the interconnections between working parameters of cooling equipment and the technological parameters of thermal processing. The equations are outlined and discussed. The results of computer modelling verification in industrial trials are presented. The case-study involved computer system concerning steel properties and microstructure is described.