Abstract
In this paper, a mathematical model is employed to evaluate the kinetics of recrystallisation in the hot rod rolling process. To reach this goal it is required to accurately assess the temperature and the velocity fields within the metal being deformed. These parameters are evaluated by solving the governing equations of heat conduction and plastic deformation. In addition, a neural network model is coupled with finite element analysis to calculate the flow stress of deforming metal as a function of deformation parameters. To verify the validity of the employed model, the predictions and the measured surface temperatures after each pass are compared and a good agreement is observed.
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