Article
Engineering, Environmental
Zi Lin, Lin-Quan Gong, Jing-Jing Xu, Jia-Jia Jiang, Jun-Cheng Jiang
Summary: This paper proposes a multi-objective optimization method for the layout design of chemical process plants, aiming to achieve a trade-off between economy and safety. The economic objective is evaluated by considering the total capital cost, while the safety objective is evaluated by the Comprehensive Inherent Safety Index (CISI). The proposed method is applied to optimize the layout of an acrylic acid production plant using the non-dominated sorting genetic algorithm II (NSGA-II). The results show a clear trade-off between economic and safety objectives according to the Pareto curve.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Thermodynamics
Lucas F. Santos, Caliane B. B. Costa, Jose A. Caballero, Mauro A. S. S. Ravagnani
Summary: A surrogate-based multi-objective optimization framework is used to design natural gas liquefaction processes and compare their energy consumption and heat exchanger area utilization. The surrogate-based framework provides better solutions than traditional multi-objective optimization methods. The results contribute to achieving lower energy consumption and higher heat exchanger utilization efficiency.
Article
Chemistry, Physical
Ja-Ryoung Han, Jong Min Lee
Summary: This study proposes a multi-objective optimization approach to design a steam methane reforming (SMR) reactor and maximize the efficiency of the hydrogen production process. Only 50 iterations were performed, identifying three Pareto optimal designs with significant reactor size reductions and slight variations in process efficiency compared to the reference case. The results offer practical insights for planning on-site distributed hydrogen production systems and demonstrate the possibility of increasing overall process efficiency with a reduced reactor size.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
S. Yang
Summary: This work presents a steady-state model of a generic liquid air power plant integrated with parabolic trough solar collectors, explores the plant design space, and maximizes its energy and exergy performance. Results demonstrate the presence of a critical liquid air mass flow rate and the competition between round-trip efficiency and exergy efficiency.
Article
Green & Sustainable Science & Technology
Nicolai Palm, Markus Landerer, Herbert Palm
Summary: In a rapidly changing environment, designing power systems is a complex task. Multi-objective optimization using algorithms and virtual prototyping is an effective and efficient approach to meet multiple criteria requirements. This study presents a Gaussian Process Regression based Multi-Objective Bayesian Optimization (GPR-MOBO) algorithm and evaluates its effectiveness and efficiency.
Article
Engineering, Environmental
Ali Khajavian, Anahita Pourmohamadi, Yaser Khatibi, Sara Nazif
Summary: Mathematical modeling provides a reliable tool for optimal management and operation of wastewater treatment plants (WWTPs). Accurate calibration is crucial for producing reliable results, and static calibration is a critical initial step for this purpose, ensuring enough accuracy and minimizing later difficulties. This study proposes a three-stage methodology for static calibration of model parameters. Nine different calibration objective functions considering various target variables are investigated to evaluate how different objective functions can affect the calibration process accuracy. The proposed approach is applied in a real WWTP with a carousel oxidation ditch for secondary treatment.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Energy & Fuels
Corina Aimo, Ignacio Schmidhalter, Pio Aguirre
Summary: This paper presents multi-objective optimization frameworks for lithium-ion whole-cell design with a focus on maximizing capacity, specific energy in discharge, and cycle energy efficiency. Various design variables and the constant current value are optimized using a phenomenological mathematical model developed in the GAMS environment. Solutions for different cell chemistries are analyzed, and the influence of material type-dependent variables on specific energy and cycle energy efficiency is investigated. Comparison between optimal designs for different chemistries shows significant differences in capacity, specific energy, and energy efficiency values.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Artificial Intelligence
Jiyoung Jung, Kundo Park, Byungjin Cho, Jinkyoo Park, Seunghwa Ryu
Summary: In this paper, two systematic data-driven optimization frameworks for the injection molding process are proposed, using multi-objective Bayesian optimization and constrained generative inverse design network frameworks. These methods can efficiently obtain optimal process parameters and are demonstrated to be applicable in the manufacturing process of a door trim part.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Environmental Sciences
Tianqu Liu, Jinping Sun, Guohua Wang, Yilong Lu
Summary: This paper addresses the problem of maximizing waveform diversity gain in a phase-coded MIMO radar waveform set design. A multi-objective quantum genetic algorithm is proposed to solve the design problem. Compared to conventional approaches, the proposed algorithm can simultaneously minimize both PASR and PCCR of the waveform set.
Article
Engineering, Chemical
Adrian Martinez-Lomovskoi, Ana Gabriela Romero-Garcia, Eduardo Sanchez-Ramirez, Juan Gabriel Segovia-Hernandez
Summary: A novel post-combustion carbon capture plant is designed using a green solvent called deep eutectic solvent (DES) in order to reduce environmental impact. The study analyzed different fuel types and found that the PCC process for coal-based power generation performed the best. The use of DES resulted in a 171.8% reduction in environmental impact compared to the traditional MEA-based process, although it required slightly higher energy consumption.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2023)
Article
Computer Science, Artificial Intelligence
Yongkuan Yang, Pei-Qiu Huang, Xiangsong Kong, Jing Zhao
Summary: This paper proposes a novel constrained multi-objective evolutionary algorithm called CMAOO, which optimizes an (M+1)-objective optimization problem consisting of the original M objective functions and the degree of constraint violation. It constructs a main population and saves all feasible solutions in an external archive. The main population and the external archive are evolved to search the whole space and the feasible regions, respectively, and their offspring update the external archive and the main population separately. Experimental studies show that CMAOO is competitive in solving constrained multi-objective optimization problems compared to four state-of-the-art algorithms.
APPLIED SOFT COMPUTING
(2023)
Article
Computer Science, Interdisciplinary Applications
Alexandre Mathern, Olof Skogby Steinholtz, Anders Sjoberg, Magnus onnheim, Kristine Ek, Rasmus Rempling, Emil Gustavsson, Mats Jirstrand
Summary: The planning and design of buildings and civil engineering concrete structures involve complex problems with constraints, and the use of multi-objective optimization methods can provide more relevant design strategies. The potential of these methods remains unexploited in structural concrete design practice, but Bayesian optimization has shown promise in addressing constrained multi-objective optimization problems in structural design.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Chemical
Wendi Xu, Xianpeng Wang, Qingxin Guo, Xiangman Song, Ren Zhao, Guodong Zhao, Yang Yang, Te Xu, Dakuo He
Summary: Single-objective to multi-objective/many-objective optimization is a new paradigm in evolutionary transfer optimization. Theoretical insights into this area are relatively rare, so we propose a study on the theoretical advances of multi-objective optimization based on a case study of a permutation flow shop scheduling problem.
Article
Thermodynamics
Marcin Jankowski, Piotr Klonowicz, Aleksandra Borsukiewicz
Summary: Organic Rankine cycle (ORC) power plants are a promising technology for converting low and medium temperature energy sources into electricity. Proper design of the components, including the turboexpander, is crucial for system efficiency. This study focuses on optimizing an ORC system with a one-dimensional radial-inflow turbine model to determine the optimal parameters for turbine geometry.
Article
Computer Science, Information Systems
Krisztian Gado, Tamas Orosz
Summary: This paper discusses a novel solution for the multi-objective TEAM benchmark problem, which focuses on optimizing the shape of a coil to achieve uniform field distribution and robust design. Symmetrical solutions were found to perform better in terms of uniformity and sensitivity measures, but some asymmetric solutions previously neglected can be competitive and interesting for practical design.
Article
Metallurgy & Metallurgical Engineering
Freddy A. Lucay, Mauricio Sales-Cruz, Edelmira D. Galvez, Luis A. Cisternas
Summary: The study presents a methodology for obtaining response surfaces when a small data set is available and its behavior is complex. By using experimental design, kriging, artificial neural network, and hybrid algorithm, the model's robustness and stability are guaranteed, leading to better optimal conditions.
MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW
(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
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
Natalia Araya, Yendery Ramirez, Luis A. Cisternas, Andrzej Kraslawski
Summary: The article evaluates the water-energy nexus in copper mining companies and finds trade-offs between water and energy by analyzing the balance of mine tailing facilities and water supply to the mine site using a water reduction model. The results show that improving water reuse through dewatering technologies can enhance the water-energy nexus, reduce energy consumption, and decrease treatment and transport costs.
Article
Engineering, Chemical
Yesica L. Botero, Rodrigo Serna-Guerrero, Alejandro Lopez-Valdivieso, Mostafa Benzaazoua, Luis A. Cisternas
Summary: Covellite flotation can be influenced by collector type and dosage, while high PAX concentration and low pH are suitable for bulk flotation, and low IPETC dosage and high pH are optimal for selective flotation. Selective flotation of covellite is feasible with IPETC at alkaline pH with low dosage, while bulk flotation is achievable with PAX at pH 8 with high collector concentration. Covellite recovery remains constant over a wide range of pH values, allowing for selective separation from other sulfides such as pyrite.
MINERALS ENGINEERING
(2021)
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)
