| Abstract Scope |
We review the use of kinetic Monte Carlo modeling to simulate microstructural evolution which was famously developed by David Srolovitz for grain growth, then recrystallization and then many other processes. As a q-state Ising model (aka Potts) used far from the disordering (lattice) temperature, it provided insights into the kinetics of grain growth, the effects of pinning particles with subtle 2D vs 3D differences, abnormal grain growth from multiple causes, and dynamic recrystallization. In recent times, it has been used effectively to simulate the development of microstructure, with crystallographic texture in metals additive manufacturing based on laser melting, which has demonstrated that a simple macroscopic bias in the growth suffices to capture the competition from dendrite growth along <100>. As efficient as the Potts model is, ever faster techniques are required for process modeling. |