پيش بيني رشد دانه در آلومينيم خالص به روش مونت كارلو

With development of computer science, numerical methods have been used for the simulation of laboratory and industrial processes. Prediction of material microstructures is one of the processes of great interest to material designers since the property and performance of materials depend strongly on their microstructures. The Monte Carlo method, as a physical-statistical approach, has been utilized to predict microstructures in the last two decades. In the present paper, the Monte Carlo method is used to investigate the normal grain growth in pure aluminum and the grain growth exponent of metals. A 150 x 150 two dimensional triangular lattice is utilized to analyze the process. It was found that there is a good agreement between the mean exponent of the parabolic growth law and simulation results. The grain growth of aluminum microstructure was calculated at the certain temperature using the grain growth law and compared with the simulation results by varying the Q as a parameter of lattice orientation. It was found that increase in Q increases the accuracy of the predicted results.