Xiaoyan Song and Guoquan Liu, Three-Dimensional and Cross-sectional Characteristics of Normal Grain Growth Based on Monte Carlo Simulation, J. Univ. Sci. Technol. Beijing, 5(1998), No. 3, pp. 129-133,139.
Cite this article as:
Xiaoyan Song and Guoquan Liu, Three-Dimensional and Cross-sectional Characteristics of Normal Grain Growth Based on Monte Carlo Simulation, J. Univ. Sci. Technol. Beijing, 5(1998), No. 3, pp. 129-133,139.
Xiaoyan Song and Guoquan Liu, Three-Dimensional and Cross-sectional Characteristics of Normal Grain Growth Based on Monte Carlo Simulation, J. Univ. Sci. Technol. Beijing, 5(1998), No. 3, pp. 129-133,139.
Citation:
Xiaoyan Song and Guoquan Liu, Three-Dimensional and Cross-sectional Characteristics of Normal Grain Growth Based on Monte Carlo Simulation, J. Univ. Sci. Technol. Beijing, 5(1998), No. 3, pp. 129-133,139.
An appropriate Monte Carlo method was developed to simulate the three-dimensional normal grain growth more completely. Comparative investigation on the three-dimensional and the cross-sectional characteristics of normal grain growth was done. It was found that the time exponent of grain growth determined from cross-section exhibits the same rule of increasing slowly with time and approaching the theoretical value n = 0.5 of steadygrain growth as the three-dimensional (3-D) system. From change of the number of grains per unit area with timemeasured in cross-section, the state of 3-D normal grain growth may be predicted. The gtain size distribution incross-section is different from that in 3-D system and can not express the evolution characteristic of the 3-D distribution. Furthermore, there exists statistical connection between the topological parameters in cross-section and thosein three-dimensions.