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Tortuosity prediction and investigation of fluid flow behavior using pore flow approach in heap leaching
Hydrometallurgy ( IF 4.7 ) Pub Date : 2022-04-01 , DOI: 10.1016/j.hydromet.2022.105868
Sina Maghsoudy 1 , Omid Bakhtiari 2 , Soroush Maghsoudy 3, 4
Affiliation  

The aim of the current study is to use the pore flow approach in the hydrodynamic modeling of heap leaching. Also, by using this approach and presenting a novel method, the tortuosity of the porous media was predicted. For this purpose, a laboratory scale column with dimensions 20 cm × 20 cm × 45 cm containing copper oxide ore was prepared. Four sides of this ore box were photographed, vectorized and then numerical modeling of the fluid flow was implemented with the pore flow approach. Ore materials were from the first loading lift of a real copper mine, and the irrigation rate was equal to the operational rate of 10 L m−2 h−1 (2.77 × 10−6 m s−1). The average particle diameter was 1.8 cm and the voidage (inter-particle porosity) was about 20%. The modeling results show the velocity and pressure distribution in the media correspond to the pore flow approach. It strongly depends on the shapes of the ore particles and their arrangement. Correlation analysis of inter-particle porosity, velocity and pressure distribution confirm that the average velocity of the fluid is inversely related to the bulk voidage of the bed. Also, the pressure is a function of porosity and how the particles are placed next to each other. In the current research, a semi-empirical function is presented for tortuosity prediction in porous media by using a coupled numerical modeling and image processing approach. This equation predicts the average tortuosity value of the ore box around 1.445. Finally, the pore flow approach was implemented in a heap side wall and the seepage, pooling and fluid flow paths were predicted.



中文翻译:

在堆浸中使用孔隙流动法预测和研究流体流动行为的曲折度

目前研究的目的是在堆浸的流体动力学模型中使用孔隙流动方法。此外,通过使用这种方法并提出一种新方法,预测了多孔介质的曲折度。为此,准备了一个尺寸为 20 cm × 20 cm × 45 cm 的实验室规模的柱子,其中包含氧化铜矿石。对该矿箱的四个侧面进行拍照、矢量化,然后使用孔隙流动方法对流体流动进行数值模拟。矿石原料取自真实铜矿的第一次装卸,灌溉量等于10 L m -2  h -1 (2.77 × 10 -6  m s -1)。平均粒径为1.8cm,空隙率(颗粒间孔隙率)约为20%。建模结果表明介质中的速度和压力分布与孔隙流动方法相对应。它很大程度上取决于矿石颗粒的形状及其排列。颗粒间孔隙度、速度和压力分布的相关性分析证实,流体的平均速度与床的体积空隙率成反比。此外,压力是孔隙率以及颗粒如何彼此相邻放置的函数。在目前的研究中,通过使用耦合的数值建模和图像处理方法,提出了一种半经验函数用于多孔介质中的曲折度预测。该方程预测矿箱的平均曲折度值在 1.445 左右。最后,

更新日期:2022-04-01
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