硫化銅礦粒孔隙模型重構與溶液滲流模擬

尹升華; 宋慶; 陳威; 陳勛

doi:10.13374/j.issn2095-9389.2020.02.27.002

硫化銅礦粒孔隙模型重構與溶液滲流模擬

doi: 10.13374/j.issn2095-9389.2020.02.27.002

尹升華^{1, 2},
宋慶^{1, 2, ,},
陳威^{1, 2},
陳勛^{1, 2}

1.
北京科技大學金屬礦山高效開采與安全教育部重點實驗室，北京 100083
2.
北京科技大學土木與資源工程學院，北京 100083

基金項目: 國家優秀青年科學基金資助項目（51722401）；國家自然科學基金重點資助項目（51734001）；中央高校基本科研業務費專項資金資助項目（FRF-TP-18-003C1）

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通訊作者:
E-mail：SQ1213ueen@163.com

中圖分類號: TD862
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出版歷程
- 收稿日期: 2020-02-27
- 刊出日期: 2021-04-26

Pore model reconstruction of copper sulfide ore agglomerate and simulation of solution seepage

YIN Sheng-hua^{1, 2},
SONG Qing^{1, 2
, ,},
CHEN Wei^{1, 2},
CHEN Xun^{1, 2}

1.
Key Laboratory of Ministry of Education for High-Efficient Mining and Safety of Metal, University of Science and Technology Beijing, Beijing 100083, China
2.
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China

More Information

Corresponding author: E-mail: SQ1213ueen@163.com

摘要

摘要: 以次生硫化銅礦粉為原料，添加黏結劑、氯化鈉制備礦粒，并借助CT掃描技術、圖像處理及三維重構方法，開展了單個礦粒浸出試驗，探究了溶浸前后礦粒內部的孔隙變化；運用COMSOL Multiphysics模擬仿真軟件，構建了溶液在孔隙通道中流動的仿真模型。結果表明：經過一周時間的溶浸，礦粒內部孔隙的數目、平均體積、平均表面積及孔隙平均等效直徑分別增長了99%、151%、223%和90%，孔隙率增長了4倍，孔隙連通度增長了近2倍。在孔隙通道較狹窄的區域和底部區域，溶液的流速、壓力急劇增加，對礦粒結構的穩定性產生較大影響。
- 硫化銅礦 /
- 制粒技術 /
- CT掃描技術 /
- 孔隙演變 /
- 數值模擬
Abstract: Bioleaching technology, a method used in mining, utilizes organisms or microorganisms to dissolve and leach useful components from ore. This technology is applied widely in many countries in mining and production of various metals. Although considerable economic benefits have been obtained with the help of bioleaching technology, this technology faces many challenges. For example, as the leaching process progresses, the permeability of the ore heap is worsened from the presence of fine particles and muddy ore. As such, improving heap permeability is a key focus in the field of leaching mining technology. Agglomeration technology, an effective method for improving the permeability of ore heaps, involves crushing the ore and agglomerating it with binders before leaching, which alters the structure of the ore, especially ore powder. The resulting granular structure provides space for the flow of the solution and greatly improves the permeability of the leaching system. The pore structure is constantly changing as the leaching process progresses, which affects the seepage of the solution and even the effect of leaching the ore. In this study, leaching tests were conducted using single-ore granulation of secondary copper sulfide ore powder, binders, and NaCl. Changes in the pore structure during leaching were investigated using X-ray computerized tomography, digital image processing, and three-dimensional reconstruction methods. In addition, COMSOL Multiphysics simulation software was used to construct a simulation model of the flow of the solution in the pore channels. The results reveal that the number, average volume, average surface area, and average equivalent diameter of pores inside the granulated ore increase respectively by 99%, 151%, 223%, and 90%. In addition, the porosity increases fourfold and the pore connectivity nearly triples. The flow velocity and pressure of the solution was found to increase sharply as the solution flows through the narrow and bottom areas of the pore channels, which has a great impact on the stability of the ore granulation structure.
- copper sulfide ore /
- agglomeration technology /
- CT technology /
- pore evolution /
- numerical simulation

HTML全文

圖 1 礦樣粒徑分布圖

Figure 1. Particle size distribution of ore samples

下載: 全尺寸圖片幻燈片

圖 2 試驗礦粒。（a）溶浸時；（b）晾干后

Figure 2. Photographs of mineral agglomerate used in the test: (a) during leaching; (b) after drying

下載: 全尺寸圖片幻燈片

圖 3 掃描原圖。（a）浸出前；（b）浸出后

Figure 3. Original CT scan images of mineral agglomerate: (a) before leaching; (b) after leaching

下載: 全尺寸圖片幻燈片

圖 4 圖像預處理流程

Figure 4. Workflow of CT scan image preprocessing

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圖 5 礦粉掉落

Figure 5. Photograph of ore powder that dropped off the agglomerate

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圖 6 生成網格數據流程

Figure 6. Workflow for generating grid data

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圖 7 邊界條件。（a）導入網格數據；（b）入口；（c）出口

Figure 7. Boundary conditions: (a) imported grid data; (b) entrance; (c) export

下載: 全尺寸圖片幻燈片

圖 8 速度流線圖。（a）流線間隔為0.1 μm；（b）流線間隔為0.01 μm

Figure 8. Streamline distribution of the solution: (a) streamline interval of 0.1 μm; (b) streamline interval of 0.01 μm

下載: 全尺寸圖片幻燈片

圖 9 速度切面圖。（a） X方向；（b） Y方向；（c） Z方向

Figure 9. Velocity sections in different directions: (a) X direction; (b) Y direction; (c) Z direction

下載: 全尺寸圖片幻燈片

圖 10 壓力分布圖。（a）壓力分布圖；（b）壓力等值線圖

Figure 10. Pressure profile: (a) pressure distribution; (b) pressure contour map

下載: 全尺寸圖片幻燈片

表 1 礦樣主要元素質量分數

Table 1. Mass fractions of major elements in mineral samples %

Elements	Cu	Fe	S	CaO	MgO	Al₂O₃	SiO₂
Mass fraction	0.70	1.67	1.10	0.30	0.04	5.19	91.00

下載: 導出CSV

表 2 銅物相分析結果（質量分數）

Table 2. Cu phase analysis results of mineral samples

Phase	Mass fraction/%
Copper oxide	0.04
Primary copper sulfide	0.05
Secondary copper sulfide	0.60
Combined copper	0.01
Total	0.70

下載: 導出CSV

表 3 礦粒孔隙參數變化

Table 3. Variation of pore parameters

Parameter	Pore number	Mean pore volume/(10⁸ μm³)	Average pore surface area/(10⁶ μm²)	Average equivalent pore diameter/μm
Before leaching	288	1.71	1.16	304
After leaching	575	4.29	3.75	579
Growth rate/%	99	151	223	90

下載: 導出CSV

表 4 礦粒孔隙率及孔隙連通度變化

Table 4. Evolution of porosity and pore connectivity

Parameter	Porosity/%	Growth rate/%	Porosity connectivity/%	Growth rate/%
Before leaching	3.20	400	29.96	195
After leaching	16.00	400	88.26	195

下載: 導出CSV

表 5 構建模型的關鍵參數

Table 5. Key parameters used in the model

Parameters	Symbol	Value
Density/(kg·m^?3)	ρ	1100
Temperature/K	T	298.13
Dynamic viscosity/Pa·s	μ	0.9
Initial pressure/Pa	P₀	0.715

下載: 導出CSV

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