Article
Engineering, Chemical
Armando F. d. V. Rodrigues, Homero Delboni, Malcolm S. Powell, Luis Marcelo Tavares
Summary: This study assesses the potential suitability of autogenous and semi-autogenous milling for itabirite iron ores, demonstrating both the technical feasibility and energy efficiency of this alternative grinding method.
MINERALS ENGINEERING
(2021)
Article
Engineering, Chemical
Zahra Ghasemi, Frank Neumann, Max Zanin, John Karageorgos, Lei Chen
Summary: The mining industry has a large amount of stored production data, but the potential of these datasets in process modelling is yet to be fully explored. This research aims to find the most accurate prediction model for SAG mill throughput by comparing six machine learning models. The results show that the recurrent neural network is the most accurate model, followed by genetic programming and support vector regression. Sensitivity analysis reveals that turning speed and inlet water are the most significant factors affecting SAG mill throughput.
MINERALS ENGINEERING
(2024)
Article
Geochemistry & Geophysics
Vladislav Lvov, Leonid Chitalov
Summary: This paper demonstrates the features and methods of constructing a wet semi-autogenous grinding mill model using Rocky DEM and Ansys Fluent software. It also proposes a method for calculating the efficiency of the semi-autogenous grinding process based on numerical simulation results.
Article
Engineering, Civil
Zhiqiang Wan
Summary: This paper emphasizes the importance of global sensitivity analysis for stochastic dynamical systems with multiple uncertain parameters and proposes a global sensitivity index suitable for this purpose. The research findings demonstrate that the proposed approach exhibits high efficiency and accuracy.
Article
Thermodynamics
Shengqiang Lin, Ming Xie, Jiaxing Wang, Wenkai Liang, Chung K. Law, Weixing Zhou, Bin Yang
Summary: The uncertainties of rate coefficients in chemical kinetic mechanisms can impact the predicted species concentrations and global properties. A new species-targeted global sensitivity analysis (STGSA) method is proposed to simplify mechanisms by considering input uncertainties, resulting in more compact reduced mechanisms compared to traditional methods. The demonstrations on ethylene and n-heptane oxidation mechanisms show that STGSA accurately identifies redundant species and generates reduced mechanisms with accurate predictions for various conditions.
COMBUSTION AND FLAME
(2021)
Article
Environmental Sciences
A. Trucchia, L. Frunzo
Summary: In this study, Global Sensitivity Analysis (GSA) and Uncertainty Quantification (UQ) were conducted on an ADM1-based Anaerobic Digestion Model focused on municipal solid waste digestion. The model introduced a surface-based kinetic approach to better model the disintegration step of complex organic matter. GSA and UQ were essential for further improvements and a deeper understanding of the main processes and input factors.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
Zizhen Zhang, Raheem Gul, Anwar Zeb
Summary: This study applied the Sobol's method to analyze the individual and mutual effects of parameters in a covid-19 model, aiming to identify controlling parameters and assist decision makers in exploring policy options to control the pandemic.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
K. C. Ujjwal, Jagannath Aryal, Saurabh Garg, James Hilton
Summary: Environmental models often involve inherent uncertainties, which can be quantified using global sensitivity analysis (GSA) methods such as Morris, Sobol, FAST, and PAWN. The choice of GSA method depends on the model complexity and computational constraints, with a trade-off between convergence and computational costs. Sobol method is recommended for detailed sensitivity information, while Morris or PAWN methods are preferred for balanced trade-off under computational constraints.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Energy & Fuels
Xiaoxu Zhang, Nana Wang, Qing Xie, Hua Zhou, Zhuyin Ren
Summary: This work investigates the soot formation in turbulent spray flames through global sensitivity analysis and uncertainty quantification. The numerical simulation accurately predicts the properties of the flame and provides a good baseline for analysis. The active subspace method is used to analyze the sensitivity of the formation process, and response surfaces are constructed to quantify the uncertainty. The study demonstrates the potential of the active subspace method for analyzing and quantifying the uncertainty of soot formation.
Article
Engineering, Chemical
Kwaku Boateng Owusu, William Skinner, Richmond Asamoah
Summary: This study investigated the relationship between acoustic emissions and hardness of different rock types and binary mix ratios in a laboratory-based AG/SAG mill. The results showed that the mill acoustic emission response can be used to classify different rock hardness and their mixtures, and the noise emission varied among different mineral types.
MINERALS ENGINEERING
(2022)
Article
Agronomy
Junwei Tan, Shujun Zhao, Bo Liu, Yufeng Luo, Yuanlai Cui
Summary: This study conducted a global sensitivity analysis on drought stress parameters in crop models, identifying different levels of parameter sensitivity under varying drought stress conditions. The upper limit factor for transpiration decline was found to have a strong impact on yield under heavy drought stress situations. Soil types and plough soil depth were also shown to affect parameter sensitivities.
Article
Environmental Sciences
Stephanie Aparicio, Rebecca Serna-Garcia, Aurora Seco, Jose Ferrer, Luis Borras-Falomir, Angel Robles
Summary: The study assessed a microalgae model applied to a Membrane Photobioreactor (MPBR) pilot plant through a global sensitivity and uncertainty analysis. The influential factors of the model were identified, calibrated offline or online, and the model's uncertainty was evaluated. The results indicated a need for offline calibration methods to improve model performance.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Physics, Multidisciplinary
Zdenek Kala
Summary: The article highlights the significant flaw of using differential entropy as a sensitivity measure in global sensitivity analysis, and proposes an alternative sensitivity measure based on dome-shaped functionals. The new sensitivity measure leads to a more rational structure of sensitivity indices with a significantly lower proportion of higher-order sensitivity indices compared to other types of distributional sensitivity analysis.
Article
Green & Sustainable Science & Technology
Qi Liu, Jing Yang, Lei Gao, Yucheng Dong, Zhaoxia Guo, Enayat A. Moallemi, Sibel Eker, Michael Obersteiner
Summary: This study conducted robust sensitivity analyses of scenario parameters in a complex socio-ecological system model and identified sensitive parameters that remain sensitive under five representative scenarios. The findings make it easier to improve and apply the model by focusing on key parameters and understanding important sector linkages in socio-ecological systems.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Environmental
Aleksandra Kim, Christopher L. Mutel, Andreas Froemelt, Stefanie Hellweg
Summary: In recent years, many LCA studies have been conducted to quantify the environmental performance of products and services. However, only a few studies have tackled the Global Sensitivity Analysis (GSA) of complete LCA models. This study proposes a new GSA protocol suitable for large LCA problems, which obtains more accurate results and reduces data collection efforts.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2022)
Article
Environmental Sciences
Natalia Araya, Yendery Ramirez, Andrzej Kraslawski, Luis A. Cisternas
Summary: Re-processing mine tailings to obtain critical raw materials can reduce new mining activities, but it requires large industrial installations and specialized technologies. When making investment decisions in new mining projects, it is crucial to consider uncertainties and risks, and develop processes and technologies that can lower capital expenditure.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Metallurgy & Metallurgical Engineering
Constanza Cruz, Yesica. L. Botero, Ricardo I. Jeldres, Lina Uribe, Luis A. Cisternas
Summary: The limited availability of conventional water resources has led to the use of seawater in the flotation process of copper sulfide ores at several concentrator plants. The complex nature of flotation in seawater, with its different chemistry compared to fresh water, presents challenges that can be addressed by studying the impact of seawater ions on the process and drawing from industrial experience to find solutions for improved performance.
MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW
(2022)
Article
Geochemistry & Geophysics
Oscar Marin, Jose O. Valderrama, Andrzej Kraslawski, Luis A. Cisternas
Summary: This study evaluated the potential of copper tailing deposits in Chile for sequestration of CO2 through mineral carbonation, while integrating the recovery of valuable metals. The research identified optimal locations for mineral carbonation plants in the Antofagasta region and estimated the CO2 sequestration potential of five tailing deposits. Additionally, it examined the technical, economic, and environmental feasibility of capturing, separating, and transporting CO2 from sources to mineral carbonation plants, especially considering the significant CO2 production from thermoelectric plants in the region.
Article
Metallurgy & Metallurgical Engineering
Luis A. Cisternas, Javier Ordonez, Ricardo Jeldres, Rodrigo Serna-Guerrero
Summary: Mining resources have a significant impact on human development, but standard practices in mining and mineral processing have negative environmental impacts. While the circular economy is seen as a solution, the mining industry's reluctance to adopt new technologies and processing strategies hinders its implementation.
MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW
(2022)
Article
Engineering, Chemical
Enoque Mathe, Constanza Cruz, Freddy A. Lucay, Edelmira D. Galvez, Luis A. Cisternas
Summary: This paper introduces a new strategy based on flotation studies to model both flotation and grinding through an integrated approach, which is applied to a copper sulfide mineral with successful results. The main advantages of this method are its simplicity and low cost, making it beneficial for preliminary studies on the design, improvement, and simulation of flotation circuits. This new strategy could potentially be extended to other concentration technologies involving grinding.
MINERALS ENGINEERING
(2021)
Article
Geochemistry & Geophysics
Freddy A. Lucay, Renato Acosta-Flores, Edelmira D. Galvez, Luis A. Cisternas
Summary: The study analyzed the operational feasibility requirements of flotation systems and the effects of equipment selection and metal price uncertainty through mathematical optimization and uncertainty analysis. The results showed a small number of optimal flotation structures from an economic perspective, which exhibited favorable conditions for operating under uncertainty.
Article
Energy & Fuels
Ladislao Eduardo Mendez-Cruz, Miguel Angel Gutierrez-Limon, Helen Lugo-Mendez, Raul Lugo-Leyte, Teresa Lopez-Arenas, Mauricio Sales-Cruz
Summary: The study of thermal systems that utilize residual thermal sources in power generation is crucial for minimizing environmental impact and promoting sustainable alternatives. The organic Rankine cycle (ORC) is particularly relevant as it can harness low-temperature residual energy sources. This work presents a methodology for evaluating the feasibility of using refrigerants as working fluids in an ORC based on an exergetic viability index. The results demonstrate that R245fa and R600a are the most viable refrigerants for the ORC at different condensing temperatures.
Article
Geochemistry & Geophysics
Oscar Mamani-Quinonez, Luis A. Cisternas, Teresa Lopez-Arenas, Freddy A. Lucay
Summary: This study presents a methodology based on global sensitivity analysis (GSA) to design decentralized control structures for industrial processes under uncertainty. The applicability of the proposed methodology is demonstrated through case studies on a semi-autogenous grinding (SAG) mill and a solvent extraction (SX) plant.
Article
Thermodynamics
Luis A. Cisternas, Daniel Calisaya-Azpilcueta, Nathalie Jamett
Summary: In this study, the Cisternas-Lam model is applied to various desiccants and ionic liquids in aqueous solutions to estimate their K value and test the prediction capacity of the model. The results show good correlation and prediction of vapor pressure in the studied systems.
INTERNATIONAL JOURNAL OF REFRIGERATION
(2022)
Article
Geochemistry & Geophysics
Constanza Cruz, Sebastian Herrera-Leon, Daniel Calisaya-Azpilcueta, Ruth Salazar, Luis A. Cisternas, Andrzej Kraslawski
Summary: This research investigates the potential use of waste brine discharged from seawater desalination as a source of industrial water in the copper mining industry. The results show that treated waste brine significantly improves copper recovery in the froth flotation process, making it a suitable alternative non-conventional water resource.
Article
Geochemistry & Geophysics
Maria P. Arancibia-Bravo, Freddy A. Lucay, Felipe D. Sepulveda, Lorena Cortes, Luis A. Cisternas
Summary: Response surface methodology (RSM) is a useful tool for optimizing processes, but its performance in mineral flotation is often poor. This study proposes using artificial neural networks (ANNs) instead of the polynomial model of RSM and the Sobol methods instead of the ANOVA test to determine influential input factors. The results show that using ANNs significantly improves the fit compared to the polynomial model of RSM. Global Sensitivity Analysis (GSA) identifies aeration rate and P-80 size as the most influential variables in copper recovery and reveals significant interactions between aeration rate, frother concentration, and P-80 size.
Editorial Material
Geochemistry & Geophysics
Freddy A. Lucay, Luis A. Cisternas
Article
Green & Sustainable Science & Technology
Luiza Texeira, Daniel Calisaya-Azpilcueta, Constanza Cruz, Yesica L. Botero, Luis A. Cisternas
Summary: The copper mining industry plays a vital role in achieving global sustainability and transitioning to fossil-free power. However, the generation of acid mine drainage (AMD) from mine tailings poses a significant environmental challenge. This study evaluates the chemical stability of synthetic tailings with and without seawater, and the results show that using non-desalinized seawater can help prevent AMD.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Manuel Saldana, Edelmira Galvez, Alessandro Navarra, Norman Toro, Luis A. Cisternas
Summary: Considering the increasing production costs and the need for resource optimization, the copper mining industry is focusing on improving efficiency. This study develops models for a semi-autogenous grinding (SAG) mill using statistical analysis and machine learning techniques. The findings suggest that by optimizing mineral fragmentation and decreasing mill rotational speed, there can be significant improvements in production and energy consumption. Machine learning has shown great potential in adjusting complex models like SAG grinding, and its application in the mineral processing industry can greatly enhance efficiency.
Article
Engineering, Chemical
Yesica L. Botero, Luis A. Cisternas, Isabelle Demers, Mostafa Benzaazoua
Summary: Flotation is a widely used mineral concentration technology, but there is limited research on flotation circuit designs for polymetallic ores. Sulfide mineral flotation tailings can generate acid mine drainage, highlighting the need for tailings without sulfur species. This paper investigates different circuit designs for polymetallic ores, considering factors such as stage recovery uncertainty, costs, energy use, and environmental impacts. The results suggest that holistic design approaches can lead to more efficient designs and that traditional processing methods have higher energy, water, and material consumption, resulting in greater environmental impact.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Benjamin De Castro, Mostafa Benzaazoua, Soumali Roychowdhury, Aurelie Chopard, Francis Quintal Lauzon, Benoit Plante
Summary: This study proposes an innovative method using deep learning algorithm and reflected light optical imaging to automatically detect all particles and minerals in acrylic resin polished sections. The experimental results show that this method can accurately detect all mineral particles, including transparent minerals, under reflected light optical microscopy, and provide unbiased mineralogical quantification.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Qiushi Song, Xinyu Du, Changlu Shan, Hongwei Xie, Zhiqiang Ning, Kai Yu
Summary: This study investigated the effect of magnetic stirring on the microstructure of Co deposits during electrowinning in a chloride solution. It was found that magnetic stirring effectively reduced the negative influence of H2 bubbles on the structure of Co deposits and changed their nucleation and growth behavior, resulting in the preparation of high-quality columnar Co crystals.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Tao Ge, Xiaowei Zhou, Liang Xu, Yan Sun, Cheng Yang, Yongpan Tian, Zhuo Zhao
Summary: In this study, the extraction performance and complexation mechanism of p-di-ethyl-amino-methylthiacalix[4]arene (L) towards Pt(IV) were investigated. The results indicated that L had excellent complexation ability towards Pt(IV) and could selectively extract it from a solution containing multiple competing ions.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Yuan Li, Dirk van Zyl
Summary: This paper presents a modified Kynch's approach to explain the hindered settling behavior of suspensions impacted by segregation. The experimental data and predicted results confirm the effectiveness of the proposed method.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Yi Fang, Aurora Robledo-Cabrera, Changsheng Peng, Shan Huang, Qi Xiao, Alejandro Lopez-Valdivieso
Summary: With the assistance of mechanical ball milling, the partially oxidized micro-sponge iron (micro-Fe0@Fe2O3) achieves significantly improved removal of Cr(VI) across a broad pH range. Mechanical force eliminates the surface oxide layer and exposes the Fe0 core, leading to sustained reduction of Cr(VI). The efficiency of micro-Fe0@Fe2O3 is strongly influenced by dissolved oxygen, with higher DO resulting in the generation of stable reductant Fe(II) under acidic conditions, while DO consumption hinders the reduction of Cr(VI) under alkaline conditions due to increased pH. Parameters of ball milling operation, especially rotation speed, have a significant impact on the removal of Cr(VI).
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Alton F. Grabsch, Phillip D. Fawell, Michael G. Davies
Summary: High molecular weight partially hydrolysed polyacrylamide (PHPA) is commonly used in mineral exploration drilling to increase fluid viscosity and help maintain the suspension of fine particles. However, clarifying these suspensions can be difficult, and previous studies have found that anionic flocculants are ineffective. This study confirmed that nonionic flocculants can successfully aggregate the particles, indicating that the charged tails of adsorbed PHPA prevent anionic flocculants from accessing the particle surfaces.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
J. S. Guiral-Vega, L. Perez-Barnuevo, J. Bouchard, A. Ure, E. Poulin, C. Du Breuil
Summary: This paper introduces an approach that combines particle properties and process modeling to describe the behavior of iron ore in a laboratory-scale drum-type magnetic separator. Early information on iron ore processing behavior can be obtained through laboratory testing, automated mineralogy analysis, and process modeling.
MINERALS ENGINEERING
(2024)
Review
Engineering, Chemical
Sayed Janishar Anzoom, Ghislain Bournival, Seher Ata
Summary: This review discusses the benefits and challenges of coarse particle flotation, as well as recent developments in improving the process. Coarse particle flotation has various applications and offers advantages in technical, economic, and sustainability aspects. However, it also faces challenges such as particle detachment, transfer between phases, and persistence in the froth phase. Technological advancements, such as fluidized-bed flotation and processes enhancing bubble-particle attachment, have shown promising results in efficiently recovering larger particles.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Yimei Xiao, Jinchan Feng, Bingqiao Yang, Huihua Luo, Fang Zhou
Summary: In this study, the use of fulvic acid as a depressant for the flotation separation of chalcopyrite from arsenopyrite was investigated. It was found that fulvic acid strongly depressed arsenopyrite while having little influence on chalcopyrite flotation. The addition of calcium hypochlorite facilitated the adsorption of fulvic acid on arsenopyrite surface.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Bo Hao, Minqiang Fan
Summary: Particle-bubble attachment is crucial in coal and mineral flotation processes. In this study, the attachment process of low-rank coal particles to the bubble surface was simulated, revealing the important role of water film rupture in particle attachment.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Shuwei Wu, Shuai Wang, Guoqiang Wang, Longfei Fan, Jianbo Guo, Zhengbin Liu, Haoyan Zhang, Wei Guan, Yukuan Wang, Yewei Wu
Summary: This study analyzes the motion mode of eccentric roller crushers and proposes a calculation method for productivity. Through laboratory experiments, the results indicate that the proposed method can effectively estimate the productivity of eccentric roll crushers.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Hanna Miettinen, Malin Bomberg, Ozlem Bicak, Zafir Ekmekci, Paivi Kinnunen
Summary: Mineral processing requires large amounts of water, and reducing water consumption through recirculation and closing water loops is important. However, this can lead to the accumulation of contaminants in the process water, which can negatively affect the process performance. In this study, the impact of microorganisms on flotation performance was investigated, and ion exchange was evaluated for removing dissolved sulfur species and microorganisms from water. The results showed that adding microorganisms had a positive effect on flotation selectivity, especially for nickel. Different water types, process water and final tailings water, behaved slightly differently. Ion exchange proved to be effective in removing sulfur species and microorganisms, and dissolved air flotation was a successful pretreatment for ion exchange in removing microorganisms.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Canneng Chen, Song Zhang, Quanjun Liu, Luzheng Chen, Yongjun Xian, Yijie Wang
Summary: This study introduces the use of ultrasonic pretreatment to enhance the flotation separation of elemental sulfur and silver-bearing lead minerals from ultrafine residue. The results show that ultrasonic pretreatment effectively liberates associated sulfur and improves the separation of sulfur and silver-bearing lead minerals. Under optimized conditions, ultrasonic pretreatment significantly improves the recovery and grade of sulfur in the concentrate, as well as the recovery of lead and silver in the tailings.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Genzhuang Li, Fisher Wang, Bern Klein, Michael Deal, Aaron Wright, Hector Mezquita
Summary: This paper presents a stress-based approach for predicting and improving large-scale HIG mill performance through experimental testing and model calibration.
MINERALS ENGINEERING
(2024)
Article
Engineering, Chemical
Runpeng Liao, Shuming Wen, Jian Liu, Shaojun Bai, Qicheng Feng
Summary: This study demonstrates that the use of a DDA/DDTC mixed collector system can significantly improve the flotation performance of smithsonite. The synergistic effect between DDA and DDTC is confirmed, and the mixed collector system contributes to a decrease in solution surface tension. The use of FT-IR and XPS confirms the simultaneous physisorption and chemisorption of DDA and DDTC on the smithsonite surface, and contact angle measurements show that the mixed collector effectively enhances the hydrophobicity of smithsonite. Molecular dynamics simulations reveal the multilayer adsorption of DDTC and DDA on the smithsonite surface, with DDTC promoting the adsorption of DDA.
MINERALS ENGINEERING
(2024)