Modified Monte Carlo approach for simulation of grain growth and Ostwald ripening in two-phase Zn–22Al alloy

Abstract

Monte Carlo (MC) simulation was used to predict the microstructural evolution and the kinetics of grain growth during heating of Zn–22Al dual phase alloy. As the prediction of MC simulation is based on virtual simulation time, time conversion plays a significant role in determining the recrystallization and growth kinetics of the alloy. The problem is more critical for the alloys in consideration that, they are composed of two phases with different grain boundary motilities. In this article, effort has been made to develop and modify the Monte Carlo algorithm of normal grain growth for simulating Ostwald ripening and grain growth in two-phase Zn–22Al alloy system. Grain-boundary migration (GBM) and the experimental data-based (EDB) models predict accurate relationship between simulation and real time among proposed relationship. It has been found that the grain growth of Zn–22Al is controlled by diffusion along grain boundaries (n = 4) and a reasonable agreement between the simulation and experimental results has been attained.

Keywords

• Microstructural modeling
• Monte Carlo model
• Grain growth
• Zn–22Al two-phase alloy