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Synthesis of NaY zeolite from a submolten depolymerized perlite:Alkalinity effect and crystallization kinetics

Chinese Journal of Chemical Engineering 2024年第6期70卷 130-138页

作者： Yanli Qu Peng Dong Li yang Yuanyuan Yue Haoliang wang Jingcai Cheng Chao yang CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Petroleum Molecular&Process EngineeringInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Engineering University of Chinese Academy of SciencesBeijing 100190China Qingyuan Innovation Laboratory Quanzhou 362801China National Engineering Research Center of Chemical Fertilizer Catalyst College of Chemical EngineeringFuzhou UniversityFuzhou 350108China

NaY zeolites are synthesized using submolten salt depolymerized natural perlite mineral as the main silica and alumina sources in a 0.94 L stirred *** of alkalinity ranging from 0.38 to 0.55(n(Na_(2)O)/n(SiO_(2)))on the relative crystallinity,textural properties and crystallization kinetics were *** results show that alkalinity exerts a nonmonotonic influence on the relative crystallinity and textural properties,which exhibit a maximum at the alkalinity of *** nucleation kinetics are studied by fitting the experimental data of relative crystallinity with the Gualtieri *** is shown that the nucleation rate constant increases with increasing alkalinity,while the duration period of nucleation decreases with increasing *** n(Na_(2)O)/n(SiO_(2))ratios ranging from 0.38 to 0.55,the as-synthesized NaY zeolites exhibit narrower crystal size distributions with the increase in *** growth rates determined from the variations of average crystal size with time are 51.09,157.50,46.17 and 24.75 nm·h^(-1),*** is found that the larger average crystal sizes at the alkalinity of 0.38 and 0.43 are attributed to the dominant role of crystal growth over ***,the combined action of prominent crystal growth and the longer duration periods of nucleation at the alkalinity of 0.38 and 0.43 results in broader crystal size *** findings demonstrate that control of the properties of NaY zeolite and the crystallization kinetics can be achieved by conducting the crystallization process in an appropriate range of alkalinity of the reaction mixture.

关键词： NaY zeolite Submolten salt depolymerized perlite Alkalinity Crystallization kinetics

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Strip flatness prediction of cold rolling based on ensemble methods

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Journal of Iron and Steel Research International 2024年第1期31卷 237-251页

作者： Wu-quan yang Zhi-ting Zhao Liang-yu Zhu Xun-yang Gao Li wang School of Mechanical and Power Engineering Shenyang University of Chemical TechnologyShenyang110142LiaoningChina

Aiming at the problem of insufficient prediction accuracy of strip flatness at the outlet of cold tandem rolling,the prediction performance of strip flatness based on different ensemble methods was studied and a high-precision prediction ensemble model of strip flatness at the outlet was ***,based on linear regression(LR),K nearest neighbors(KNN),support vector regression,regression trees(RT),and backpropagation neural network(BPN),bagging,boosting,and stacking ensemble methods were used for ensemble ***,three existing ensemble models,i.e.,random forest,extreme random tree(ET)and extreme gradient boosting,were used to conduct experiments and compare the *** research shows that bagging,boosting,and stacking three ensemble methods have the most significant improvement in the prediction accuracy of the regression trees model,which is increased by 5.28%,6.51%,and 5.32%,*** the same time,the stacking ensemble method improves both the simple model and the complex model,and the improvement effect on the simple base model is the greatest,which is 4.69%higher than that of the base model *** all of the ensemble models,the stacking ensemble model of level-1(ET,AdaBoost-RT,LR,BPN)paired with level-2(LR)was discovered to be the best model(EALB-LR)and can be further studied for industrial applications.

关键词： Tandem cold rolling Flatness prediction Machine learning Ensemble method

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Optimizing 3d spin polarization of CoOOH by in situ Mo doping for efficient oxygen evolution reaction

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Carbon Energy 2024年第1期6卷 236-244页

作者： Zhichao Jia yang Yuan Yanxing Zhang Xiang Lyu Chenhong Liu Xiaoli yang Zhengyu Bai Haijiang wang Lin yang Key Laboratory of Green Chemical Media and Reactions School of Chemistry and Chemical EngineeringCollaborative Innovation Center of Henan Province for Green Manufacturing of Fine ChemicalsMinistry of EducationHenan Normal UniversityXinxiangHenanChina School of Physics Henan Normal UniversityXinxiangHenanChina Oak Ridge National Laboratory Electrification and Energy Infrastructures DivisionOak RidgeTennesseeUSA Department of Mechanical and Energy Engineering Key Laboratory of Energy Conversion and Storage TechnologiesSouthern University of Science and TechnologyShenzhenGuangdongChina

Transition-metal oxyhydroxides are attractive catalysts for oxygen evolution reactions(OERs).Further studies for developing transition-metal oxyhydroxide catalysts and understanding their catalytic mechanisms will benefit their quick transition to the next ***,Mo-doped CoOOH was designed as a high-performance model electrocatalyst with durability for 20 h at 10 mAcm−***,it had an overpotential of 260 mV(glassy carbon)or 215 mV(nickel foam),which was 78 mV lower than that of IrO_(2)(338 mV).In situ,Raman spectroscopy revealed the transformation process of *** using the density functional theory showed that during OER,doped Mo increased the spin-up density of states and shrank the spin-down bandgap of the 3d orbits in the reconstructed CoOOH under the electrochemical activation process,which simultaneously optimized the adsorption and electron conduction of oxygen-related intermediates on Co sites and lowered the OER *** research provides new insights into the methodical planning of the creation of transition-metal oxyhydroxide OER catalysts.

关键词： electrocatalyst in situ Raman Mo-doped CoOOH oxygen evolution reaction

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High-entropy sulfurization enables efficient non-noble metal-based NiCoFeCuS electrocatalyst for alkaline oxygen evolution reaction

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PARTICUOLOGY 2024年第10期93卷 180-185页

作者： yang, Pan Sun, Mengxiang wang, Jingchuan Li, Jinfeng yang, Ruizhu Hao, Yawei Qi, Li yang, Lijun Liu, Xue China Acad Engn Phys Inst Mat Jiangyou 621908 Peoples R China Yanshan Univ State Key Lab Metastable Mat Sci & Technol Qinhuangdao 066004 Peoples R China Sci & Technol Surface Phys & Chem Lab Jiangyou 621907 Peoples R China

Highly active and cost-effective oxygen evolution reaction electrocatalysts have become essential to replace commercial electrocatalysts that rely on rare noble metals. High-entropy sulfide nanomaterials, characterized by abundant randomly distributed elements and inherent stability, possess significant potential for applications. However, challenges such as uneven composition, partial oxidation, or imprecise synthesis control still remain in the materials preparation. Herein, a simple and effective two-step hydrothermal method was employed to synthesize NiCoFeCuS nanoparticles supported on foam nickel substrate. With the catalytic active sites produced by electron density redistribution in high-entropy and sulfurization, NiCoFeCuS exhibits excellent alkaline OER performance, with an overpotential of 261 mV and a Tafel slope of 57.97 mV dec(-1) at the current density of 10 mA cm(-2), which is only 88% of commercial RuO2 without any noble metals. (c) 2024 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

关键词： High-entropy Sulfurization NiCoFeCuS electrocatalyst Oxygen evolution reaction Overpotentials ALLOY NANOPARTICLES

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Unveiling the chemistry behind the electrolytic production of hydrogen peroxide by oxygenated carbon

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Journal of Energy Chemistry 2024年第9期96卷 49-58页

作者： Pan Xiang Kunshang yang Qihao yang yang Gao Wenwen Xu Zhiyi Lu Liang Chen Zhiming wang Ziqi Tian Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054SichuanChina Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of Zhejiang Province Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201ZhejiangChina Institute for Advanced Study Chengdu UniversityChengdu 610106SichuanChina

Oxygenated carbon materials exhibit outstanding electrocatalytic performance in the production of hydrogen peroxide(H2O2)through a two-electron oxygen reduction *** nature of the active functional group and underlying reaction mechanism,however,remain ***,a comprehensive workflow was established to identify the active sites from the numerous possible *** common hydroxyl group at the notched edge demonstrates a key role in the two-electron *** local chemical environment weakens the binding of OOH intermediate to substrate while enhancing interaction with solution,thereby promoting the H_(2)O_(2)*** increasing pH,the intramolecular hydrogen bond between OOH intermediate and hydroxyl decreases,facilitating OOH ***,the rise in selectivity with increasing potential stems from the suppression of the four-electron *** active site was further validated through *** by theoretical understanding,optimal performance was achieved with high selectivity(>95%)and current density(2.06 mA/cm^(2))in experiment.

关键词： First-principles calculation Oxygen reductionreaction Hydrogen peroxide production Fixed-potential method Oxygenated carbon materials

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Combining reinforcement learning with mathematical programming:An approach for optimal design of heat exchanger networks

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Chinese Journal of Chemical Engineering 2024年第5期69卷 63-71页

作者： Hui Tan Xiaodong Hong Zuwei Liao Jingyuan Sun Yao yang Jingdai wang Yongrong yang State Key Laboratory of Chemical Engineering College of Chemical and Biological EngineeringZhejiang UniversityHangzhou 310027China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 311215China

Heat integration is important for energy-saving in the process *** is linked to the persistently challenging task of optimal design of heat exchanger networks(HEN).Due to the inherent highly nonconvex nonlinear and combinatorial nature of the HEN problem,it is not easy to find solutions of high quality for large-scale *** reinforcement learning(RL)method,which learns strategies through ongoing exploration and exploitation,reveals advantages in such ***,due to the complexity of the HEN design problem,the RL method for HEN should be dedicated and designed.A hybrid strategy combining RL with mathematical programming is proposed to take better advantage of both *** insightful state representation of the HEN structure as well as a customized reward function is introduced.A Q-learning algorithm is applied to update the HEN structure using theε-greedy *** results are obtained from three literature cases of different scales.

关键词： Heat exchanger network Reinforcement learning Mathematical programming Process design

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Experimental and numerical investigations on micromixing performance of multi-orifice cross-flow jet mixers

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Chinese Journal of Chemical Engineering 2024年第6期70卷 63-72页

作者： Hang yang Zhaojin Lu Likun Ma Wei Yin Bingjie wang Zhishan Bai Xiaoyong yang School of Mechanical and Power Engineering East China University of Science and TechnologyShanghai 200237China

Multi-orifice cross-flow jet mixers(MOCJMs)are used in various industrial applications due to their excellent mixing efficiency,but few studies have focused on the micromixing performance of ***,the flow characteristics and micromixing performance inside the MOCJM were investigated using experiments and computational fluid dynamics(CFD)simulations based on the Villermaux/Dushman system and the finite-rate/modified eddy-dissipation *** optimal A value was correlated with the characteristic parameters of MOCJMs to develop a CFD calculation method applicable to the study of the micromixing performance of the *** the micromixing efficiency was evaluated using the segregation index XS,and the effects of operational and geometric parameters such as mixing flow Reynolds number(ReM),flow ratio(RF),total jet area(ST),the number of jet orifices(n),and outlet configuration on the micromixing efficiency were *** was found that the intensive turbulent region generated by interactions between jets,as well as between jets and crossflows,facilitated rapid *** decreased with increasing ReM and decreasing ***,MOCJMs with lower ST,four jet orifices,and the narrower outlet configuration demonstrated a better micromixing *** study contributes to a deeper understanding of the micromixing performance of MOCJMs and provides valuable guidance for their design,optimization,and industrial application.

关键词： Multi-orifice cross-flow jet mixer Micromixing performance Finite-rate/modified eddy dissipation model Computational fluid dynamics Villermaux/Dushman reaction

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Edge detection of range images using genetic neural networks

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重庆邮电大学学报：自然科学版 2009年第2期21卷 272-275页

作者： FAN Jian-ying DU Ying ZHOU yang wang yang Department of Measurement-Control Technology ＆ Instrument Harbin University of Science ＆ TechnologyHarbin 150080 P. R. China

Due to the complexity and asymmetrical illumination, the images of object are difficult to be effectively segmented by some routine method. In this paper, a kind of edge detection method based on image features and genetic algorithms neural network for range images was proposed. Fully considering the essential difference between an edge point and a noise point, some characteristic parameters were extracted from range maps as the input nodes of the network in the algorithm. Firstly, a genetic neural network was designed and implemented. The neural network is trained by genetic algorithm, and then genetic neural network algorithm is combined with the virtue of global optimization of genetic algorithm and the virtue of parallel computation of neural network, so that this algorithm is of good global property. The experimental results show that this method can get much faster and more accurate detection results than the classical differential algorithm, and has better anti-noise performance.

关键词：遗传神经网络基于图像检测范围遗传算法边缘检测方法神经网络训练神经网络算法参数提取

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Bilayer separator enabling dendrite-free zinc anode with ultralong lifespan >5000 h

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Green Energy & Environment 2024年第4期9卷 771-776页

作者： Lu wang Feifei wang Zhe Ding Yingxin Liu Ziyi Zhang Chunpeng yang Kian Ping Loh Quan-Hong yang Joint School of National University of Singapore and Tianjin University International Campus of Tianjin UniversityFuzhou350207China Nanoyang Group State Key Laboratory of Chemical EngineeringSchool of Chemical Engineering and TechnologyTianjin UniversityCollaborative Innovation Center of Chemical Science and Engineering(Tianjin)Tianjin300072China Haihe Laboratory of Sustainable Chemical Transformations Tianjin300192China Department of Chemistry National University of Singapore117543Singapore Institute of Process Engineering Chinese Academy of SciencesBeijing100190China

Aqueous zinc(Zn)batteries with Zn metal anodes are promising clean energy storage devices with intrinsic safety and low ***,Zn dendrite growth severely restricts the use of Zn *** effectively suppress Zn dendrite growth,we propose a bilayer separator consisting of commercial butter paper and glassfiber *** dense cellulose-based butter paper(BP)with low zincophilicity and high mechanical properties prevents the pore-filling behavior of deposited Zn and related separator piercing,effectively suppressing the Zn dendrite *** a result,the bilayer separators endow the ZnjjZn symmetrical batteries with a superlong cycling life of Zn anodes(over 5000 h)at 0.5 mA cm^(-2) and the full batteries enhanced capacity retention,demonstrating the advancement of the bilayer separator to afford excellent cyclability of aqueous metal batteries.

关键词： Zn battery Bilayer separator Butter paper Zn metal anode Zn dendrite

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Integrated Model for Resilience Evaluation of Power-Gas Systems Under Windstorms

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CSEE Journal of Power and Energy Systems 2024年第4期10卷 1427-1440页

作者： Yucui wang Yongbiao yang Qingshan Xu School of Cyber Science and Engineering Southeast UniversityNanjing 210096China School of Electrical Engineering Southeast UniversityNanjing 210096China Nanjing Center for Applied Mathematics Nanjing 210096China

Integrated power-gas systems(IPGS)have developed critical infrastructure in integrated energy ***,various extreme weather events with low probability and high risk have seriously affected the stable operation of *** to close interconnectedness through coupling elements between the power system(PS)and natural gas system(NGS)when a disturbance happens in one system,a series of complicated sequences of dependent events may follow in another *** under extreme conditions,this coupling can lead to a dramatic degradation of system performance,resulting in catastrophic ***,there is an urgent need to model and evaluate resilience of IPGSs under extreme *** this development trend,an integrated model for resilience evaluation of IPGS is proposed under extreme weather events focusing on ***,a framework of IPGS is proposed to describe states of the system at different stages under disaster ***,an evaluation model considering cascading effects is used to quantify the impact of windstorms on NGS and ***,a Monte Carlo simulation(MCS)technique is utilized to characterize chaotic fault of ***,time-dependent nodal and system resilience indices for IPGS are proposed to display impacts of *** results on the IPGS test system demonstrate the proposed methods.

关键词： Cascading effects integrated power-gas systems nodal resilience indices optimal power flow model resilience assessment system resilience indices windstorms

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