中國(guó)有色金屬學(xué)報(bào)(英文版)
Transactions of Nonferrous Metals Society of China
| Vol. 24 No. 3 March 2014 |
（1. Information Science and Engineering School, Hunan International Economics University, Changsha 410205, China;
2. Civil and Environment Engineering School, University of Science and Technology Beijing, Beijing 100083, China;
3. College of Information Technology, Shanghai Ocean University, Shanghai 201306, China）
Abstract: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 mm. 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.
Key words: packed ore particle bed; 3D pore structure; X-ray computed tomography; image analysis
