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Kinetics study on the H_(2) reduction of Nchwaning manganese ore at elevated temperatures

International Journal of Minerals,Metallurgy and Materials 2025年第5期32卷 1091-1102页

作者： Alok Sarkar Trygve Lindahl Schanche Maria Wallin Jafar Safarian Department of Materials Science and Engineering Faculty of Natural SciencesResourcesEnergy&Environment research groupNorwegian University of Science and TechnologyTrondheim 7491Norway SINTEF Industry TorgardenTrondheim 7465Norway

Replacing solid carbon with hydrogen gas in ferromanganese production presents a forward-thinking,sustainable solution to re-ducing the ferro-alloy industry’s carbon *** HAlMan process,a groundbreaking and eco-friendly method,has been meticu-lously researched and scaled up from laboratory experiments to pilot tests,aiming to drastically cut CO_(2) emissions associated with ferro-manganese *** innovative process could potentially reduce CO_(2) emissions by about 1.5 tonnes for every tonne of ferroman-ganese *** this study,a lab-scale vertical thermogravimetric furnace was used to carry out the pre-reduction of Nchwaning man-ganese ore,where direct reduction occurred with H_(2) gas under controlled isothermal conditions at 700,800,and 900℃.The results indic-ated that higher pre-reduction temperatures(800 and 900℃)effectively converted Fe_(2)O_(3) to metallic iron and Mn_(2)O_(3) to *** continu-ously monitoring the mass changes during the reduction,both the rate and extent of reduction were assessed.A second-order reaction model was applied to validate the experimental outcomes of H_(2) reduction at various temperatures,showing apparent activation energies of 29.79 kJ/mol for dried ore and 61.71 kJ/mol for pre-calcined *** reduction kinetics displayed a strong dependence on temperature,with higher temperatures leading to quicker and more complete *** kinetics analysis suggested that the chemical reaction at the gas-solid interface between hydrogen and the manganese ore is likely the rate-limiting step in this process.

关键词： H_(2)reduction kinetics pre-exponential factor activation energy thermogravimetry manganese ore CO_(2)emission

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Al^(3+) doped CeO_(2) for proton conducting fuel cells

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International Journal of Minerals,Metallurgy and Materials 2024年第10期31卷 2253-2262页

作者： Sarfraz Shahzad Rasool Muhammad Khalid MAKYousaf Shah Bin Zhu Jung-Sik Kim Muhammad Imran Asghar Nabeela Akbar Wenjing Dong Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology/Energy Storage joint Research Center School of Energy and EnvironmentSoutheast UniversityNanjing 210096China School of Microelectronics Hubei UniversityWuhan 430062China Sino-French Engineer School/School of General Engineering Beihang UniversityBeijing 100191China Renewable Energy Technologies Group Faculty of Engineering and Natural SciencesTampere UniversityFI-33014Finland

Developing high ionic conducting electrolytes is crucial for applying proton-conducting fuel cell(PCFCs)*** cur-rent study investigates the effect of alumina on the structural,morphological,electrical,and electrochemical properties of CeO_(2).Lattice oxygen vacancies are induced in CeO_(2) by a general doping concept that enables fast ionic conduction at low-temperature ranges(300-500℃)for *** refinement of the X-ray diffraction(XRD)patterns established the pure cubic fluorite structure of Al-doped CeO_(2)(ADC)samples and confirmed Al ions’fruitful integration in the CeO_(2) *** electronic structure of the alumina-doped ceria of the materials(10ADC,20ADC,and 30ADC)has been *** a result,it was found that the best composition of 30ADC-based electrolytes induced maximum lattice oxygen *** corresponding PCFC exhibited a maximum power output of 923 mW/cm^(2)at 500℃.Moreover,the investigation proves the proton-conducting ability of alumina-doped ceria-based fuel cells by using an oxide ion-blocking layer.

关键词： proton ceramic fuel cells oxygen vacancies higher fuel cell performance doping fast ions transportation

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Effect of Soil Particle Diameter on Soil Corrosion

Zairyo to Kankyo/ Corrosion Engineering

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Zairyo to Kankyo/ Corrosion engineering 2023年第1期72卷 22-30页

作者： Fujihashi, Kenta Nakagami, Ryosuke Oshikawa, Wataru Okuji-Kensan Corporation Japan Graduate School of Engineering and Science University of the Ryukyus Japan Energy and Environment Program School of Engineering Faculty of Engineering University of the Ryukyus Japan

The main foundation structure of photovoltaic power generation facilities is a steel pile foundation. Soil corrosion rate is regarded as 0.02 mm/year regardless of the soil. However, it is considered that corrosion rates of each soil are difference. In this study, we estimated the soil corrosion environment by measuring the physical properties of soil and evaluated the charge transfer resistance of each soil environment by AC impedance method that regarded soil as electrolyte, in order to investigate the effect of soil particle size on soil corrosion. Glass beads of uniform sphere haven’t been packed close-packed structure, and porosity of soil with particle size distribution was nearly equal to regardless of particle size. But in case of the soil that included particles less than 50μm in a large quantity, porosity of the soil was increase. Porosity of soil that had similar particle size distribution was nearly equal regardless of water content. Therefore, it is suggested that the change of soil water content was replacement liquid phase and gas phase. The charge transfer resistance of soil corrosion decreased with decrease of gas phase ratio in soil. Therefore, it is suggested that the charge transfer resistance of soil corrosion might be estimated from the soil particle size distribution and water content. © 2023 Japan Society of Corrosion engineering. All rights reserved.

关键词： Porosity

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MINErosion 4:Using measurements from a tilting flume-rainfall simulator facility to predict erosion rates from post-mining catchments/landscapes in Central Queensland,Australia

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International Soil and Water Conservation Research 2023年第3期11卷 415-428页

作者： Ashraf MKhalifa Hwat Bing So Hossein Ghadiri Chris Carroll Peter Burger Bofu Yu School of Engineering and Built Environment Australian Rivers InstituteGrifith UniversityNathan4111QueenslandAustralia School of Environment and Science Australian Rivers InstituteGrifith UniversityNathan411QueenslandAustralia Department of Natural Resources Mines and EnergyRockhamptonQueenslandAustralia

The use of draglines to remove overburden in Queensland opencut mines,results in landscapes that consist of long parallel tertiary overburden spoil-piles that are generally highly saline,dispersive,and highly *** height of these spoil-piles may exceed 50-60 m above the original landscapes and the slopes are at the angle of repose of around 75%or 37°.Legislation and public opinion require that these highly disturbed open-cut post-mining landscapes should be satisfactorily rehabilitated into an approved post-mining land use with acceptable erosion ***,these slopes must be reduced before the landscape can be *** most expensive component of the rehabilitation process is the re-shaping and preparation of the overburden to create a suitable landscape for vegetation *** soils and overburden varies greatly in their erodibilities,the extent and cost of earthworks can be minimized,and rehabilitation failures avoided,if soil erosion from designed landscapes can be predicted using laboratory-based parameters prior to construction of these *** paper describes the development of a model for that purpose.A catchment or landscape erosion model MINErosion 4 was developed by upscaling the existing hillslope model MINErosion 3(So,et al.,2018)and integrate it with both ESRI ArcGIS 10.3 or QGIS 3.16(freeware),to predict event based and mean annual erosion rate from a postmining catchment or *** 3 is a model that can be used to predict event and annual erosion rates from field scale hillslopes using laboratory measured erodibility parameters or routinely measured soil physical and chemical properties,and to derive suitable landscape design parameters(slope gradient,slope length and vegetation cover)that will result in acceptable erosion *** it cannot be used to predict the sediment delivery from catchments or *** 4 was validated against data collected on three instrumented catchments(up to 0.91

关键词： Soil erosion MINErosion 4 model Erosion from catchments Post-mining rehabilitation Queensland

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Comparative analysis of DNA-SIP and magnetic-nanoparticle mediated isolation (MMI) on unraveling dimethoate degraders

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Frontiers of environmental science & engineering 2024年第1期18卷 59-69页

作者： Luning Lian Yi Xing Dayi Zhang Longfei Jiang Mengke Song Bo Jiang School of Energy and Environmental Engineering University of Science&Technology BeijingBeijing 100083China Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants University of Science&Technology BeijingBeijing 100083China National Environmental and Energy Science and Technology International Cooperation Base University of Science&Technology BeijingBeijing 100083China College of New Energy and Environment Jilin UniversityChangchun 130021China Guangzhou Institute of Geochemistry Chinese Academy of SciencesGuangzhou 510640China College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510642China National Engineering Laboratory for Site Remediation Technologies Beijing 100015China

Microorganisms are crucial in the bioremediation of organophosphorus pesticides. However, most functional microorganisms (> 99%) are yet to be cultivated. This study applied two cultivation-independent approaches, DNA-SIP and magnetic-nanoparticle mediated isolation (MMI), to identify the functional microorganisms in degrading dimethoate in agricultural soils. MMI identified five dimethoate degraders: Pseudomonas, Bacillus, Ramlibacter, Arthrobacter, and Rhodococcus, whereas DNA-SIP identified three dimethoate degraders: Ramlibacter, Arthrobacter, and Rhodococcus. Also, MMI showed higher resolution than DNA-SIP in identifying functional microorganisms. Two organic phosphohydrolase (OPH) genes: ophC2 and ophB, were involved in dimethoate metabolism, as revealed by DNA-SIP and MMI. The degradation products of dimethoate include omethoate, O,O,S-trimethyl thiophosphorothioate, N-methyl-2-sulfanylacetamide, O,O-diethyl S-hydrogen phosphorodithioate, O,O,O-trimethyl thiophosphate, O,O,S-trimethyl thiophosphorodithioate, and O,O,O-trimethyl phosphoric. This study emphasizes the feasibility of using SIP and MMI to explore the functional dimethoate degraders, expanding our knowledge of microbial resources with cultivation-independent approaches.

关键词： Stable isotope probing(SIP) Magnetic-nanoparticle mediated isolation(MMI) Dimethoate Biodegradation Cultivation-independent approach

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Unassisted photoelectrochemical CO_(2)reduction by employingⅢ-Ⅴphotoelectrode with 15%solar-to-fuel efficiency

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Carbon energy 2025年第3期7卷 1-10页

作者： Karthik Peramaiah Purushothaman Varadhan Vinoth Ramalingam Bilawal Khan Pradip Kumar Das Hao Huang Hui-Chun Fu Xiulin Yang Vincent Tung Kuo-Wei Huang Jr-Hau He Chemistry Program Center for Renewable Energy and Storage Technologies(CREST)and Division of Physical Science and EngineeringKing Abdullah University of Science and Technology(KAUST)ThuwalSaudi Arabia Institute of Sustainability for Chemicals Energyand Environment(ISCE2)Agency for ScienceTechnologyand Research(A*STAR)Singapore School of Computing Engineering and TechnologyRobert Gordon UniversityAberdeenUK Department of Materials Science and Engineering City University of Hong KongKowloonSARHong KongChina Guangxi Key Laboratory of Low Carbon Energy Materials School of Chemistry and Pharmaceutical SciencesGuangxi Normal UniversityGuilinChina Department of Chemical System and Engineering University of TokyoTokyoJapan

Solar-driven carbon dioxide reduction reaction(CO_(2)RR)provides an oppor tunity to produce value-added chemical feedstocks and ***,achieving efficient and stable photoelectrochemical(PEC)CO_(2)RR into selec tive products is challenging owing to the difficulties associated with the optical and the electrical configuration of PEC devices and electrocatalyst ***,we construct an efficient,concentrated sunlight-driven CO_(2)RR setup consisting of InGaP/GaAs/Ge triple-junction cell as a photoanode and oxide-derived Au(Ox-Au)as a cathode to perform the unassisted PEC CO_(2)*** one-sun illumination,a maximum operating current density of 11.5 mA cm^(-2) with an impressive Faradaic efficiency(FE)of~98%is achieved for carbon monoxide(CO)production,leading to a solar-to-fuel conversion efficiency of~15%.Under concentrated intensity of 10 sun,the photoanode records a maximum current density of~124 mAcm^(-2) and maintains~60%of FE for CO *** results demonstrate crucial advancements in usingⅢ-Ⅴbased photoanodes for concentrated PEC CO_(2)RR.

关键词： 3J photoanode CO_(2)reduction high STF unassisted PEC

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Mantle flow underneath the South China Sea revealed by seismic anisotropy

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National science Review 2023年第10期10卷 54-61页

作者： Fansheng Kong Rui Gao Stephen S.Gao Kelly H.Liu Weiwei Ding Xiongwei Niu Aiguo Ruan Pingchuan Tan Jianke Fan Shaoping Lu Zhengyi Tong Liqun Cheng Wenfei Gong Yanghui Zhao Jiabiao Li Key Laboratory of Submarine Geosciences Second Institute of OceanographyMinistry of Natural Resources Southern Marine Science and Engineering Guangdong Laboratory Geology and Geophysics Program Department of Geosciences and Geological and Petroleum Engineering Missouri University of Science and Technology School of Earth Sciences and Engineering Sun Yat-sen University Key Laboratory of Marine Geology and Environment Institute of Oceanology Chinese Academy of Sciences

It has long been established that plastic flow in the asthenosphere interacts constantly with the overlying lithosphere and plays a pivotal role in controlling the occurrence of geohazards such as earthquakes and volcanic ***,accurately characterizing the direction and lateral extents of the mantle flow field is notoriously difficult,especially in oceanic areas where deployment of ocean bottom seismometers(OBSs) is expensive and thus *** this study,by applying shear wave splitting analyses to a dataset recorded by an OBS array that we deployed between mid-2019 and mid-2020 in the South China Sea(SCS),we show that the dominant mantle flow field has a NNW-SSE orientation,which can be attributed to mantle flow extruded from the Tibetan Plateau by the ongoing Indian-Eurasian *** addition,the results suggest that E-W oriented flow fields observed in South China and the Indochina Peninsula do not extend to the central SCS.

关键词： mantle flow South China Sea Tibetan Plateau seismic anisotropy shear wave splitting

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Impact of Artificial Compressibility on the Numerical Solution of Incompressible Nanofluid Flow

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Computers, Materials & Continua 2023年第3期74卷 5123-5139页

作者： Tohid Adibi Shams Forruque Ahmed Seyed Esmail Razavi Omid Adibi Irfan Anjum Badruddin Syed Javed Department of Mechanical Engineering University of BonabBonabIran Science and Math Program Asian University for WomenChattogram4000Bangladesh School of Mechanical Engineering University of TabrizTabrizIran Energy Management Group Energy and Environment Research CenterNiroo Research InstituteTehranIran Mechanical Engineering Department College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia

The numerical solution of compressible flows has become more prevalent than that of incompressible *** the help of the artificial compressibility approach,incompressible flows can be solved numerically using the same methods as compressible *** artificial compressibility scheme is thus widely used to numerically solve incompressible Navier-Stokes *** numerical method highly depends on its accuracy and speed of *** the artificial compressibility approach is utilized in several numerical simulations,the effect of the compressibility factor on the accuracy of results and convergence speed has not been investigated for nanofluid flows in previous ***,this paper assesses the effect of this factor on the convergence speed and accuracy of results for various types of *** improve the stability and convergence speed of time discretizations,the fifth-order Runge-Kutta method is applied.A computer program has been written in FORTRAN to solve the discretized equations in different Reynolds and Grashof numbers for various *** results demonstrate that the artificial compressibility factor has a noticeable effect on the accuracy and convergence rate of the *** optimum artificial compressibility is found to be between 1 and *** findings can be utilized to enhance the performance of commercial numerical simulation tools,including ANSYS and COMSOL.

关键词： Navier-Stokes equations incompressible flow artificial compressibility convergence rate convection flow

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Sulfur-doped hard carbon hybrid anodes with dual lithium-ion/metal storage bifunctionality for high-energy-density lithium-ion batteries

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Carbon energy 2023年第1期5卷 71-81页

作者： Sungmin Cho Jong Chan Hyun Son Ha Yeonhua Choi Honggyu Seong Jaewon Choi Hyoung-Joon Jin Young Soo Yun Program in Environmental and Polymer Engineering Inha UniversityIncheonSouth Korea KU-KIST Graduate School of Converging Science and Technology Korea UniversitySeoulSouth Korea Departmant of Chemistry and Research Institute of Natural Science Gyeongsang National UniversityJinjuSouth Korea Department of Polymer Science and Engineering Inha UniversityIncheonSouth Korea Division of Energy Engineering Kangwon National UniversityGangwon-doSouth Korea

Bifunctional hybrid anodes(BHAs),which are both a high-performance active host material for lithium-ion storage as well as a guiding agent for homogeneous lithium metal nucleation and growth,exhibit significant potential as anodes for next-generation high-energy-density lithium-ion batteries(LIBs).In this study,sulfur-doped hard carbon nanosphere assemblies(S-HCNAs)were prepared through a hydrothermal treatment of a liquid organic precursor,followed by high-temperature thermal annealing with elemental sulfur for application as BHAs for *** a carbonate-based electrolyte containing fluoroethylene carbonate additive,the S-HCNAs showed high lithium-ion storage capacities in sloping as well as plateau voltage sections,good rate capabilities,and stable *** addition,high average Coulombic efficiencies(CEs)of~96.9%were achieved for dual lithium-ion and lithium metal storage *** the LIB full-cell tests with typical NCM811 cathodes,the S-HCNA-based BHAs containing~400 mA h g^(−1) of excess lithium led to high energy and power densities of~500Wh kg^(−1) and~1695Wkg^(−1),respectively,and a stable cycling performance with~100%CEs was achieved.

关键词： hard carbon hybrid anode lithium-ion batteries lithium metal anode lithium metal batteries sulfur-doped carbon

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Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models

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environmental science and Pollution Research 2024年第20期31卷 29811-29835页

作者： Mallick, Javed Alkahtani, Meshel Hang, Hoang Thi Singh, Chander Kumar Department of Civil Engineering College of Engineering King Khalid University P.O. Box: 394 Abha61411 Saudi Arabia Department of Geography Faculty of Natural Science Jamia Millia Islamia New Delhi India Department of Energy and Environment Analytical and Geochemistry Laboratory TERI School of Advanced Studies New Delhi India

Landslide susceptibility mapping is essential for reducing the risk of landslides and ensuring the safety of people and infrastructure in landslide-prone areas. However, little research has been done on the development of well-optimized Elman neural networks (ENN), deep neural networks (DNN), and artificial neural networks (ANN) for robust landslide susceptibility mapping (LSM). Additionally, there is a research gap regarding the use of Bayesian optimization and the derivation of SHapley Additive exPlanations (SHAP) values from optimized models. Therefore, this study aims to optimize DNN, ENN, and ANN models using Bayesian optimization for landslide susceptibility mapping and derive SHAP values from these optimized models. The LSM models have been validated using the receiver operating characteristics curve, confusion matrix, and other twelve error matrices. The study used six machine learning-based feature selection techniques to identify the most important variables for predicting landslide susceptibility. The decision tree, random forest, and bagging feature selection models showed that slope, elevation, DFR, annual rainfall, LD, DD, RD, and LULC are influential variables, while geology and soil texture have less influence. The DNN model outperformed the other two models, covering 7839.54 km2 under the very low landslide susceptibility zone and 3613.44 km2 under the very high landslide susceptibility zone. The DNN model is better suited for generating landslide susceptibility maps, as it can classify areas with higher accuracy. The model identified several key factors that contribute to the initiation of landslides, including high elevation, built-up and agricultural land use, less vegetation, aspect (north and northwest), soil depth less than 140 cm, high rainfall, high lineament density, and a low distance from roads. The study’s findings can help stakeholders make informed decisions to reduce the risk of landslides and ensure the safety of people and infrastru

关键词： Deep neural networks

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