An analytical model for the prediction of hot roll temperatures in a hot rolling process

Abstract

Temperature variations in the hot roll during a hot rolling process were analysed by solving heat conduction equations for boundary conditions using an analytical method. The analysis was conducted in a steady‐state regime, taking into account the effects of process parameters such as the contact surface, roll velocity and various cooling boundary conditions. Assuming the periodicity of the process, the development of a solution in the Fourier series was employed to solve the governing equations. The temperature and its gradient distributions in the roll depth were analytically expressed according to the process parameters. The accuracy of the predicted results was examined through comparison with predictions presented in the literature (finite element solutions and measurements). Results showed that an increase in the rolling speed leads to a shorter contact time, which decreases the temperature field in the work‐roll.

Prediction of Molten Iron Temperature in the Transportation Process of Torpedo Car

“…The research mainly focuses on blast furnace, steelmaking, heating furnace and so on. [5][6][7][8][9][10] Due to the complex physical and chemical factors involved in this process and the background of the problem is recognized as a bad-data problem, 11) most of the research has been to thermally insulate torpedo tubes through a mechanism model. 12,13) The temperature drop process 14,15) proposes an ideal model.…”

“…(5) can be converted to (6). For formula (6), the central difference method is used to obtain the derivative expression (7) of each lining part.…”