Michael D. Odidi , Marijke A. Fagan-Endres , Susan T.L. Harrison
{"title":"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","authors":"Michael D. Odidi , Marijke A. Fagan-Endres , Susan T.L. Harrison","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><</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":"230 ","pages":"Article 106395"},"PeriodicalIF":4.8000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of non-reactive solute transport models for the evaluation of fluid flow in packed beds with implications for heap leaching practice\",\"authors\":\"Michael D. Odidi , Marijke A. Fagan-Endres , Susan T.L. Harrison\",\"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><</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\":\"230 \",\"pages\":\"Article 106395\"},\"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}","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}
Comparison of non-reactive solute transport models for the evaluation of fluid flow in packed beds with implications for heap leaching practice
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 (), dead to total volume fraction (), dynamic to total saturation fraction (), overall mass transfer coefficient () and maximum diffusional pore length (). The results showed that an increase in the average particle size within the beds led to higher , and values, but lower and 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.
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.