Authors:
K. R. Phaneesh
1
;
Anirudh Bhat
2
;
G. Mukherjee
3
and
K. T. Kashyap
4
Affiliations:
1
M. S. Ramaiah Institute of Technology, India
;
2
Georgia Institute of Technology, United States
;
3
Consultant, United States
;
4
Atria Institute of Technology, India
Keyword(s):
Monte Carlo Simulation, Metropolis Algorithm, Al-4% Cu, Annealing, Simulated Microstructure.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Complex Systems Modeling and Simulation
;
Computer Simulation Techniques
;
Formal Methods
;
Materials
;
Multiscale Simulation
;
Simulation and Modeling
;
Simulation Tools and Platforms
;
Stochastic Modeling and Simulation
Abstract:
For more than three decades now simulation of recrystallization and grain growth phenomena in annealed metals have been studied through a variety of computer modeling techniques including that of Monte Carlo (MC) simulation. In this study, we have been able to show the efficiency of the MC technique by evolving simulated microstructures comparable very closely to real microstructures. The real microstructures were generated in about a 50% cold-worked alloy of Al-4% Cu (Duralumin) annealed to various degrees. The digital microstructures were evolved through a 2D simulation of a square lattice using Potts model Monte Carlo simulation technique based on the Metropolis algorithm. Through our work we have been able to show the close similarity between microstructures of real metals and microstructures digitally evolved through simulation, perhaps for the first time, thereby validating the MC technique as an efficient computer simulation tool for grain growth studies.