Abstract:
This study presents a contribution to the modeling of primary recrystallization stage in an IF steel that is destined to the automotive industry. A two dimensional Monte Carlo technique is proposed to simulate primary recrystallization. It is well known that recrystallization includes nucleation and growth of nuclei until the consumption of the deformed matrix. The major challenge is the choice of nuclei (locations, orientations, number ...) and conditions of their subsequent growth (speed, final size ....). Nucleation starts in grains that have the highest stored energy of deformation, and then progresses in grains that have lower stored energy. In this work, we used an internal misorientation parameter, calculated from EBSD data, to estimate stored energy in the deformed microstructure. The comparison of primary recrystallization simulation results with the experimental behavior requires initial data for the model development and final data for its validation. For this, a detailed experimental recrystallization study was performed, starting from 75% cold rolled state. This presentation will discuss the effect of using our misorientation parameter for identifying nucleation sites on microstructure and texture evolutions as well as the ability of our model to predict the experimental
