Simulation of primary recrystallization using a modified three-dimensional cellular automaton

A modified three-dimensional cellular automaton algorithm has been developed to simulate primary static recrystallization of cold-worked metals. The driving force for the nucleation and growth of recrystallized grains is the volume free energy due to the stored dislocation density of the deformed matrix. Growth terminates upon impingement. The code allows the introduction of specific conditions for recovery, nucleation and grain boundary motion. The model is capable of simulating kinetics, microstructure and texture development during recrystallization. The modification of the cellular automaton approach allows for the simulation of an orientation dependent growth rate. A novel algorithm minimizes the computational load and computer memory requirement.