3D characterization and analysis of pore structure of packed ore particle beds based on computed tomography images  

基于CT图像的矿石颗粒堆积体孔隙结构三维量化表征和分析（英文）

作　　者：杨保华[1,2] 吴爱祥[2] 缪秀秀[2] 刘金枝[3] 

机构地区：[1]湖南涉外经济学院信息科学与工程学院,长沙410205 [2]北京科技大学土木与环境工程学院,北京100083 [3]上海海洋大学信息学院,上海201306

出　　处：《Transactions of Nonferrous Metals Society of China》2014年第3期833-838,共6页中国有色金属学报（英文版）

基　　金：Projects(50934002,51074013,51304076,51104100)supported by the National Natural Science Foundation of China;Project(IRT0950)supported by the Program for Changjiang Scholars Innovative Research Team in Universities,China;Project(2012M510007)supported by China Postdoctoral Science Foundation

摘　　要：Methods and procedures of three-dimensional （3D） characterization of the pore structure features in the packed ore particle bed are focused. X-ray computed tomography was applied to deriving the cross-sectional images of specimens with single particle size of 1-2, 2-3, 3-4, 4-5, 5-6, 6-7, 7-8, 8-9, 9-10 ram. Based on the in-house developed 3D image analysis programs using Matlab, the volume porosity, pore size distribution and degree of connectivity were calculated and analyzed in detail. The results indicate that the volume porosity, the mean diameter of pores and the effective pore size （d50） increase with the increasing of particle size. Lognormal distribution or Gauss distribution is mostly suitable to model the pore size distribution. The degree of connectivity investigated on the basis of cluster-labeling algorithm also increases with increasing the particle size approximately.研究基于图像分析的矿石颗粒堆积体孔隙结构三维量化表征的方法和过程。利用X线CT技术分别获取由1～2、2～3、3～4、4～5、5～6、6～7、7～8、8～9、9～10mm的矿石颗粒构成的单粒径堆积体的断层图像，基于Matlab自行开发了三维重构及图像分析程序，计算并分析体孔隙率、孔隙尺寸分布以及孔隙连通度3个参数。结果表明，颗粒堆积体的体孔隙率、平均孔隙尺寸和有效孔隙尺寸（d50）随着颗粒粒径的增大而增加，孔隙尺寸服从对数正态分布或正态分布，基于聚类标记算法得到的孔隙连通度也大致随着颗粒粒径的增大而增加。

关 键 词：packed ore particle bed 3D pore structure X-ray computed tomography image analysis 

分 类 号：P616.3[天文地球—矿床学]