Computer simulation of grain growth-III. Influence of a particle dispersion

Abstract

A Monte Carlo computer simulation technique has been developed which models grain growth in the presence of a particle dispersion. The simulation allows for the monitoring of an evolving microstructure as a function of time. The model predicts normal grain growth, i.e. R ̄ = Ctn, where R ̄ is the average grain size and n is the grain growth exponent, followed by an abrupt transition to a pinned state. Both the exponent n and the grain size distribution are found to be in close agreement with that observed for grain growth in the absence of particles. The grain size distribution and kinetics are independent of particle concentration. The final average grain area and the time required for the microstructure to pin are both approximately proportional to the inverse of the particle concentration. The results are quantitatively accounted for in terms of a simple topological theory. © 1984.