基于Monte Carlo Potts方法的三維大尺度晶粒組織仿真模型及定量表征

留言板

尊敬的讀者、作者、審稿人, 關于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復。謝謝您的支持!

姓名

郵箱

手機號碼

標題

留言內容

驗證碼

基金項目:

國家自然科學基金(No.50171008)和國家教委“跨世紀優秀人才”基金資助項目

Large-Scale 3D Model and Quantitative Characterization of Grain Microstrcture Based on Monte Carlo Potts Simulation

1. Materials Science and Engineering School, University of Science and Technology Beijing, Beijing 100083, China;
2. College of Material Engineering, Jiamusi University, Jiamusi 154007, China

摘要: 為改善三維晶粒組織可視化模型的統計性,采用Monte Carlo Potts方法建立了材料多晶體組織的一種大尺度三維數字化模型,并實現了其定量表征和三維可視化.逾萬晶粒的統計結果表明,該模型的平均晶粒面數為13.8±0.1,晶粒尺寸分布和晶粒面數分布均可用Log-normal函數近似擬合,與實際材料晶粒組織情況相近.
- 三維晶粒組織模型 /
- 蒙特卡羅模擬 /
- 晶粒尺寸分布 /
- 晶粒拓撲學
Abstract: In order to improve the statistics of 3D grain microstructure models, a large-scale 3D digital model of microstructures of polycrystalline materials was implemented using Monte Carlo Potts simulation. The quantitative characterization and 3D visualizing of the model were carried out. The results show that the grain size distribution and the grain face number distribution in this model can be fitted approximately by the lognormal function, with an average grain face number of 13.8±0.1, very similar to the polycrystalline microstructure in real material.
- polycrystalline microstructure model /
- monte carlo simulation /
- grain size distribution /
- grain topology