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    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

    尹升華, 宋慶, 陳威, 陳勛. 硫化銅礦粒孔隙模型重構與溶液滲流模擬[J]. 工程科學學報, 2021, 43(4): 495-502. doi: 10.13374/j.issn2095-9389.2020.02.27.002
    引用本文: 尹升華, 宋慶, 陳威, 陳勛. 硫化銅礦粒孔隙模型重構與溶液滲流模擬[J]. 工程科學學報, 2021, 43(4): 495-502. doi: 10.13374/j.issn2095-9389.2020.02.27.002
    YIN Sheng-hua, SONG Qing, CHEN Wei, CHEN Xun. Pore model reconstruction of copper sulfide ore agglomerate and simulation of solution seepage[J]. Chinese Journal of Engineering, 2021, 43(4): 495-502. doi: 10.13374/j.issn2095-9389.2020.02.27.002
    Citation: YIN Sheng-hua, SONG Qing, CHEN Wei, CHEN Xun. Pore model reconstruction of copper sulfide ore agglomerate and simulation of solution seepage[J]. Chinese Journal of Engineering, 2021, 43(4): 495-502. 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
    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)
    詳細信息
      通訊作者:

      E-mail:SQ1213ueen@163.com

    • 中圖分類號: TD862

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

    More Information
    • 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。

       

    • 圖  1  礦樣粒徑分布圖

      Figure  1.  Particle size distribution of ore samples

      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

      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

      圖  4  圖像預處理流程

      Figure  4.  Workflow of CT scan image preprocessing

      圖  5  礦粉掉落

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

      圖  6  生成網格數據流程

      Figure  6.  Workflow for generating grid data

      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

      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

      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

      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

      表  1  礦樣主要元素質量分數

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

      ElementsCuFeSCaOMgOAl2O3SiO2
      Mass fraction0.701.671.100.300.045.1991.00
      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

      PhaseMass fraction/%
      Copper oxide0.04
      Primary copper sulfide0.05
      Secondary copper sulfide0.60
      Combined copper0.01
      Total0.70
      下載: 導出CSV

      表  3  礦粒孔隙參數變化

      Table  3.   Variation of pore parameters

      ParameterPore numberMean pore volume/(108 μm3)Average pore surface area/(106 μm2)Average equivalent pore diameter/μm
      Before leaching2881.711.16304
      After leaching5754.293.75579
      Growth rate/%9915122390
      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

      ParameterPorosity/%Growth rate/%Porosity connectivity/%Growth rate/%
      Before leaching3.2040029.96195
      After leaching16.0088.26
      下載: 導出CSV

      表  5  構建模型的關鍵參數

      Table  5.   Key parameters used in the model

      ParametersSymbolValue
      Density/(kg·m?3)ρ1100
      Temperature/KT298.13
      Dynamic viscosity/Pa·sμ0.9
      Initial pressure/PaP00.715
      下載: 導出CSV
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    • 收稿日期:  2020-02-27
    • 刊出日期:  2021-04-26

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