Scholarlink

<p>Permeability is the top challenge for heap leaching to recover metals from low-grade ores. Ponding zones in the heap with low or no permeability can trap high-grade solution and lead to inefficient leaching operations. Two-inch-diameter packed beds of ore particles with selected compression and moisture conditions were scanned by high-resolution X-ray computed tomography (XCT) to extract the 3D pore network and simulate the fluid flow by the lattice Boltzmann method (LBM). LBM simulated permeability of the packed bed with mono-size ore particles depends on the particle size and matches Darcy’s flow. Based on the 3D analysis of 2-inch columns with an operating particle size distribution (PSD) similar to the Rochester mine—excluding fines (− 104&#xa0;µm)—it was observed that compression and moisture addition worked together to pack the particle bed tighter. This packing results in a reduction of porosity and consequently a decrease in permeability. When fines were included in the 2-inch column experiments, a phase of agglomerated fines was extracted from 3D images. This phase was found to increase under continuous compression and moisture addition, leading to plugged pore networks and reduced permeability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Effect of Compression and Moisture on Fluid Flow Through Packed Particle Beds of Crushed Ore Studied by High-Resolution X-ray Computed Tomography and the Lattice Boltzmann Method

  • 期刊论文

  • 发表日期：

    2025年6月23日

查看全文
  • Amanda N. Erskine,
  • Jiaqi Jin,
  • Chen-Luh Lin,
  • Shijie Wang

摘要

Permeability is the top challenge for heap leaching to recover metals from low-grade ores. Ponding zones in the heap with low or no permeability can trap high-grade solution and lead to inefficient leaching operations. Two-inch-diameter packed beds of ore particles with selected compression and moisture conditions were scanned by high-resolution X-ray computed tomography (XCT) to extract the 3D pore network and simulate the fluid flow by the lattice Boltzmann method (LBM). LBM simulated permeability of the packed bed with mono-size ore particles depends on the particle size and matches Darcy’s flow. Based on the 3D analysis of 2-inch columns with an operating particle size distribution (PSD) similar to the Rochester mine—excluding fines (− 104 µm)—it was observed that compression and moisture addition worked together to pack the particle bed tighter. This packing results in a reduction of porosity and consequently a decrease in permeability. When fines were included in the 2-inch column experiments, a phase of agglomerated fines was extracted from 3D images. This phase was found to increase under continuous compression and moisture addition, leading to plugged pore networks and reduced permeability.