A Monte Carlo (MC) simulation methodology
using high performance computing (HPC) has been
proposed to characterize grain growth kinetics and
recrystallisation phenomena during hot rolling of C-Mn
and TRIP steels. The simulation framework comprises of
mesoscale modelling of evolution of grain growth and
microstructure incorporating the system energetics of
grain boundary energy and stored energy which are
essentially the driving force for the evolution process. An
in-house MC computer code has been developed and
implemented in the GARUDA grid. This facilitated
achieving faster convergence of the MC algorithm for a
given lattice structure. The simulated grain growth and
microstructure evolution have been successfully validated
with the published data. It is inferred that the MC
simulation in conjunction with HPC grid capability can be
a powerful tool to simulate material behaviour at
mesoscopic scale during thermo-mechanical processing of
materials
