Comparison of non-reactive solute transport models for the evaluation of fluid flow in packed beds with implications for heap leaching practice

IF 4.8 2区 材料科学 Q1 METALLURGY & METALLURGICAL ENGINEERING
{"title":"Comparison of non-reactive solute transport models for the evaluation of fluid flow in packed beds with implications for heap leaching practice","authors":"","doi":"10.1016/j.hydromet.2024.106395","DOIUrl":null,"url":null,"abstract":"<div><p>This study investigated the effects of mean particle size fraction, bottom particle size, particle porosity and wettability on solution scale preferential flow behaviour via step input tracer tests in drip irrigated, narrowly and mixed-sized beds under steady state fluid flux. Nine solute transport models were used to quantify this behaviour reflected in the residence time distribution (RTD) profiles. Four were empirical models: three compartmental model configurations (CM-1, CM-2, CM-3) and tanks-in-series (TIS) model. The remainder five models were semi-empirical: advection dispersion (AD), piston exchange (PE), piston exchange - diffusion variant (PE-D), piston dispersion and exchange (PDE) and piston dispersion and exchange - diffusion variant (PDE<img>D). The model fit results showed that the mono-porosity TIS, AD and CM-2 models were the worst performers, while the dual porosity PDE and novel PDE-D models achieved the lowest average error values across the various systems. Higher levels of particle wettability coupled with capillary effects produced peculiar RTD curves that were relatively more difficult for the mono-porosity models to simulate. The model parameters investigated included the longitudinal dispersion coefficient (<span><math><msub><mi>D</mi><mi>ds</mi></msub></math></span>), dead to total volume fraction (<span><math><msub><mi>V</mi><mi>D</mi></msub><mo>/</mo><msub><mi>V</mi><mi>T</mi></msub></math></span>), dynamic to total saturation fraction (<span><math><msub><mi>β</mi><mi>d</mi></msub><mo>/</mo><msub><mi>β</mi><mi>T</mi></msub></math></span>), overall mass transfer coefficient (<span><math><msub><mi>K</mi><mi>m</mi></msub><mi>a</mi></math></span>) and maximum diffusional pore length (<span><math><mi>X</mi></math></span>). The results showed that an increase in the average particle size within the beds led to higher <span><math><msub><mi>V</mi><mi>D</mi></msub><mo>/</mo><msub><mi>V</mi><mi>T</mi></msub></math></span>, <span><math><msub><mi>D</mi><mi>ds</mi></msub></math></span> and <span><math><mi>X</mi></math></span> values, but lower <span><math><msub><mi>β</mi><mi>d</mi></msub><mo>/</mo><msub><mi>β</mi><mi>T</mi></msub></math></span> and <span><math><msub><mi>K</mi><mi>m</mi></msub><mi>a</mi></math></span> values. These indicate an overall increase in solution scale preferential flow behaviour. Decreased capillary suction and connectivity between particle pores and inter-particle voids were deemed responsible for the results. Higher levels of particle porosity acted as a buffer against these effects. Overall, the results highlight the benefit of the addition of fines (0.1–1 mm particles) during the agglomeration process in heaps to help reduce solution scale preferential flow behaviour and increase liquid hold-up. This is more necessary when the ore has low to moderate levels of porosity (surface area: <span><math><mo>&lt;</mo></math></span>2 m<sup>2</sup>/g) and will also increase the modelling options available as most models performed better fitting data from such beds.</p></div>","PeriodicalId":13193,"journal":{"name":"Hydrometallurgy","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrometallurgy","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304386X2400135X","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METALLURGY & METALLURGICAL ENGINEERING","Score":null,"Total":0}
引用次数: 0

Abstract

This study investigated the effects of mean particle size fraction, bottom particle size, particle porosity and wettability on solution scale preferential flow behaviour via step input tracer tests in drip irrigated, narrowly and mixed-sized beds under steady state fluid flux. Nine solute transport models were used to quantify this behaviour reflected in the residence time distribution (RTD) profiles. Four were empirical models: three compartmental model configurations (CM-1, CM-2, CM-3) and tanks-in-series (TIS) model. The remainder five models were semi-empirical: advection dispersion (AD), piston exchange (PE), piston exchange - diffusion variant (PE-D), piston dispersion and exchange (PDE) and piston dispersion and exchange - diffusion variant (PDED). The model fit results showed that the mono-porosity TIS, AD and CM-2 models were the worst performers, while the dual porosity PDE and novel PDE-D models achieved the lowest average error values across the various systems. Higher levels of particle wettability coupled with capillary effects produced peculiar RTD curves that were relatively more difficult for the mono-porosity models to simulate. The model parameters investigated included the longitudinal dispersion coefficient (Dds), dead to total volume fraction (VD/VT), dynamic to total saturation fraction (βd/βT), overall mass transfer coefficient (Kma) and maximum diffusional pore length (X). The results showed that an increase in the average particle size within the beds led to higher VD/VT, Dds and X values, but lower βd/βT and Kma values. These indicate an overall increase in solution scale preferential flow behaviour. Decreased capillary suction and connectivity between particle pores and inter-particle voids were deemed responsible for the results. Higher levels of particle porosity acted as a buffer against these effects. Overall, the results highlight the benefit of the addition of fines (0.1–1 mm particles) during the agglomeration process in heaps to help reduce solution scale preferential flow behaviour and increase liquid hold-up. This is more necessary when the ore has low to moderate levels of porosity (surface area: <2 m2/g) and will also increase the modelling options available as most models performed better fitting data from such beds.

评估填料床流体流动的非反应性溶质迁移模型比较及其对堆浸实践的影响
本研究通过在滴灌、窄床和混合床中进行稳态流体通量下的阶跃输入示踪试验,研究了平均粒径分数、底部粒径、颗粒孔隙率和润湿性对溶液尺度优先流动行为的影响。九个溶质迁移模型被用来量化这种反映在停留时间分布(RTD)曲线上的行为。其中四个是经验模型:三个分区模型配置(CM-1、CM-2、CM-3)和串联水槽(TIS)模型。其余五个模型为半经验模型:平流扩散模型(AD)、活塞交换模型(PE)、活塞交换-扩散变体模型(PE-D)、活塞扩散和交换模型(PDE)以及活塞扩散和交换-扩散变体模型(PDED)。模型拟合结果表明,单孔 TIS、AD 和 CM-2 模型的表现最差,而双孔 PDE 和新型 PDE-D 模型在各种系统中的平均误差值最低。较高水平的颗粒润湿性加上毛细管效应产生了奇特的热电阻曲线,单孔隙率模型相对更难模拟。研究的模型参数包括纵向分散系数()、死体积分数与总体积分数之比()、动态饱和分数与总饱和分数之比()、总传质系数()和最大扩散孔隙长度()。结果表明,床层内平均粒径的增加会导致较高的、和值,但较低的、和值。这表明溶液尺度的优先流动行为总体上有所增加。颗粒孔隙和颗粒间空隙之间的毛细吸力和连通性的降低被认为是造成这些结果的原因。较高的颗粒孔隙率可以缓冲这些影响。总之,研究结果凸显了在矿堆的聚结过程中添加细粒(0.1-1 毫米颗粒)的益处,有助于减少溶液鳞片的优先流动行为并增加液体截留。当矿石具有中低水平的孔隙率(表面积:2 m/g)时,更有必要这样做,同时还能增加建模选项,因为大多数模型都能更好地拟合此类矿床的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Hydrometallurgy
Hydrometallurgy 工程技术-冶金工程
CiteScore
9.50
自引率
6.40%
发文量
144
审稿时长
3.4 months
期刊介绍: Hydrometallurgy aims to compile studies on novel processes, process design, chemistry, modelling, control, economics and interfaces between unit operations, and to provide a forum for discussions on case histories and operational difficulties. Topics covered include: leaching of metal values by chemical reagents or bacterial action at ambient or elevated pressures and temperatures; separation of solids from leach liquors; removal of impurities and recovery of metal values by precipitation, ion exchange, solvent extraction, gaseous reduction, cementation, electro-winning and electro-refining; pre-treatment of ores by roasting or chemical treatments such as halogenation or reduction; recycling of reagents and treatment of effluents.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信