Abstract
Prediction of microstructure evolution and properties is one of the most significant problems in materials science. The developed model contains two parts: the deformation and the microstructure. Usually, the deformation is not taken into account during the simulation by the cellular automata (CA). In the model, while strain accumulated in material is not large enough, CA cells are deforming according to the deformation, they are changing their shape and sizes. When strain reaches a preset value, CA space is reorganized to obtain the cubical shape of the cells. The microstructural part calculates the recrystallization and grains growth after the recrystallization. The model of recrystallization process includes two stages: nucleation and new grain growth. Nucleation and grain growth rate are dependent on deformation parameters such as: temperature, strain, strain rate, dislocation density and crystallographic orientation. In the paper a description of a three-dimensional frontal CA is presented. The use of frontal cellular automata instead of conventional ones makes possible to reduce the computation time. Frontal CA model is adapted to the simulation of microstructure evolution during the flat rolling. Rolling pass schedule is used as a basis for modeling. Selected results of simulations with frontal 3D cellular automata are presented in the paper.