Use of high-resolution X-ray computed tomography and 3D image analysis to quantify mineral dissemination and pore space in oxide copper ore particles

被引:13
作者
Yang, Bao-hua [1 ,2 ]
Wu, Ai-xiang [3 ]
Narsilio, Guillermo A. [2 ]
Miao, Xiu-xiu [2 ,3 ]
Wu, Shu-yue [1 ]
机构
[1] Hunan Int Econ Univ, Informat Sci & Engn Sch, Changsha 410205, Hunan, Peoples R China
[2] Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
[3] Univ Sci & Technol Beijing, Minist Educ, Key Lab High Efficient Min & Safety Met Mines, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
high-resolution X-ray computed tomography; 3D image analysis; ore particles; mineral dissemination; pore space; GRANULAR MEDIA; PERMEABILITY; POROSITY; FLOW;
D O I
10.1007/s12613-017-1484-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Mineral dissemination and pore space distribution in ore particles are important features that influence heap leaching performance. To quantify the mineral dissemination and pore space distribution of an ore particle, a cylindrical copper oxide ore sample (I center dot 4.6 mm x 5.6 mm) was scanned using high-resolution X-ray computed tomography (HRXCT), a nondestructive imaging technology, at a spatial resolution of 4.85 mu m. Combined with three-dimensional (3D) image analysis techniques, the main mineral phases and pore space were segmented and the volume fraction of each phase was calculated. In addition, the mass fraction of each mineral phase was estimated and the result was validated with that obtained using traditional techniques. Furthermore, the pore phase features, including the pore size distribution, pore surface area, pore fractal dimension, pore centerline, and the pore connectivity, were investigated quantitatively. The pore space analysis results indicate that the pore size distribution closely fits a log-normal distribution and that the pore space morphology is complicated, with a large surface area and low connectivity. This study demonstrates that the combination of HRXCT and 3D image analysis is an effective tool for acquiring 3D mineralogical and pore structural data.
引用
收藏
页码:965 / 973
页数:9
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