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Special Issue for the 14th Global Chinese Chemical engineering Symposium

Frontiers of Chemical Science and engineering 2023年第10期17卷 1321-1322页

作者： Jesse Zhu Junwu Wang Particle Technology Research Centre Western UniversityLondonOntario N6A 5B9Canada State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China

The Global Chinese Chemical engineering Symposium(GCCES)is a prestigious and world-wide platform for the communication and academic exchange of chemical science and *** special issue is a collection of the keynote lectures presented by the winners of Future Chemical engineering Scholars,the Global Award for Outstanding Young Female Chemical Engineers,and the International Award for Outstanding Young Chemical Engineers,selected by the International Scientific Committee of the GCCES.

关键词： engineering. Global Engineers

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Ionic liquid catalyzed solvent-free synthesis of chalcone and its derivatives under mild conditions

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Chinese Journal of Chemical engineering 2021年第5期34卷 160-166页

作者： Qiu Zhao Gang Wang Fuxia Liao Yifan Sha Fei Xu Chunshan Li Zengxi Li Yijun Cao School of Chemical Engineering and Energy Zhengzhou UniversityZhengzhou 450001China Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex SystemsBeijing Key Laboratory of Ionic Liquids Clean ProcessInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Chemical Sciences University of Chinese Academy of SciencesBeijing 100049China

An ionic liquid(IL)catalyzed solvent-free process was developed for the direct synthesis of chalcone and its derivatives by using substituted acetophenones and benzaldehydes via aldol reaction under mild conditions.A series of acidic and basic ILs were selected and *** influences of cations and reaction conditions on product yield and selectivity were systematically ***[Bmim]OH was identified as the optimal IL,with the highest yield and selectivity reaching up to 96.7% and 100%,respectively.A reaction mechanism-based kinetic model was established and regressed with experimental data,revealing the β-Hydroxylketone dehydrolysis with activation barrier of 37.8 kJ·mol^(-1) was observed as the ratecontrolling step.

关键词： Ionic liquid Chalcone Aldol reaction Kinetic model

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A carbon material doped with both porous FeO_(x) and N as an efficient catalyst for oxygen reduction reactions

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新型炭材料（中英文） 2024年第6期39卷 1202-1212页

作者： GAO Jian WANG Xin-yao MENG Ling-xin YIN Zhen MA Na TAN Xiao-yao ZHANG Peng State Key Laboratory of Separation Membranes and Membrane Processes Tianjin Key Laboratory of Green Chemical Engineering Process EngineeringDepartment of Chemical EngineeringTiangong UniversityTianjin 300387China Haian Nanjing University High Tech Institute Haian 226600China College of Chemical Engineering and Materials Science Tianjin University of Science and TechnologyTianjin 300457China School of Environmental Science and Engineering Tiangong UniversityTianjin 300387China

To replace precious metal oxygen reduction reaction(ORR)electrocatalysts,many transition metals and N-doped car-bon composites have been proposed in the last decade resulting in their rapid development as promising non-precious metal *** used Ketjenblack carbon as the precursor and mixed it with a polymeric ionic liquid(PIL)of[Hvim]NO_(3) and Fe(NO_(3))_(3),which was thermally calcined at 900℃ to produce a porous FeO_(x),N co-doped carbon material denoted FeO_(x)-N/*** the PIL of[Hvim]NO_(3) strongly combines with and disperses Fe^(3+)ions,and NO_(3)−is thermally pyrolyzed to form the porous structure,the FeO_(x)-N/C catalyst has a high electrocatalytic activity for the ORR in both 0.1 mol L^(−1) KOH and 0.5 mol L^(−1) H_(2)SO_(4) *** was used as the catalyst to assemble a zinc-air battery,which had a peak power density of 185 mW·cm^(−2).Its superior electrocatalytic activity,wide pH range,and easy preparation make FeO_(x)-N/C a promising electrocatalyst for fuel cells and metal-air batteries.

关键词： Oxygen reduction reaction Ionic liquid Porous carbon Electrocatalysis FeOx N co-doping

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Spherical Particles Growth with Dynamic Oscillation during Lithium Electrodeposition

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Energy Material Advances 2023年第1期4卷 112-119页

作者： Hanxu Jing Hui Xing Bohan Li Yongsheng Han MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Northwestern Polytechnical University710129 Xi’anChina Shaanxi Basic Discipline(Liquid Physics)Research Center Northwestern Polytechnical University710129 Xi’anChina State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of Sciences100190 BeijingChina

In this paper,the spherical particles growth during lithium electrodeposition was investigated by directly solving the governing equations based on the Landau transformation *** basic growth kinetic characteristics of a spherical particle during electrodeposition was *** results show that the dynamic oscillation of the growth velocity occurs during the spherical particle *** was found from numerical simulations that applied electrical potential difference,electrolyte concentration,and diffusion coefficient are 3 main factors influencing the spherical growth and the existence of the dynamic oscillation state of the growth velocity during *** increase in both the applied electrical potential difference and the electrolyte concentration can lead to the increase of the growth velocity of the spherical particle,while the growth velocity is independent of the diffusion ***,it was found that the wavelength and the amplitude of the dynamic oscillation of the growth velocity can be influenced by the applied electrical potential difference,the electrolyte concentration,and the diffusion *** determined that the dynamic competition between electrochemical reactions and ion transport in the electrodeposition is the reason for the existence of the oscillation of the growth velocity.

关键词： coefficient. method. oscillation

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Preparation of Core/Shell Electrically Conductive Fibers by Efficient Coating Carbon Nanotubes on Polyester

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Advanced Fiber Materials 2021年第3期3卷 180-191页

作者： Liangyu Ma Yi Nie Yanrong Liu Feng Huo Lu Bai Qian Li Suojiang Zhang College of Chemistry and Chemical Engineering Henan UniversityHenan 475000China Beijing Key Laboratory of Ionic Liquids Clean Process CAS Key Laboratory of Green Process and EngineeringState Key Laboratory of Multiphase Complex SystemsInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Zhengzhou Institute of Emerging Industrial Technology Henan 450040China

Conducting fibers with improved properties and functionalities are needed for diverse *** we report the fabrica-tion of core/shell conductive Dacron fibers by dip-coating method through originating from multi-walled carbon nanotubes(MWCNTs)coated on polyester *** annealing process was conducted to enhance interaction between the conductive shell and polyester core as well as within the MWCNTs *** properties of two kinds of MWCNTs dispersions and the electrical properties of conductive fibers were studied,*** results show that both MWCNTs-polyurethane resin(MWCNTs-WPU)dispersion and MWCNTs-acrylic resin(MWCNTs-PAA)dispersion present a typical characteristic of pseudo-plastic fluid and an excellent wetting ability to polyester *** ultimate tensile stress and elongation at break for the MWCNTs-PAA coated fiber are 261 MPa and 25.43%.The ultimate tensile stress and the elongation at break are both increasing with the increasing of MWCNTs contents,due to the strong interface bonding ability between the conduc-tive shell and polyester core and strengthen the MWCNTs *** electrical resistance of the obtained fibers can be controlled in the range from 732 to 30Ω/cm by changing MWCNTs content,dipping times and annealing *** was found that it is able to light a *** results suggest that the conductive fibers embody a good synergy effect of carbon nanotubes and ***,the fabricated conductive fibers have a widely prospect for being applied in the field of flexible electronics.

关键词： MWCNTs dispersion Conductive polyester fiber Electrical resistance Interface

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Fault-Tolerant Prescribed Performance Control of Unknown MIMO Nonlinear Systems 5

Fault-Tolerant Prescribed Performance Control of Unknown MIM...

引用

5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Ding, Wei Zhang, Jin-Xi Changshu Institute of Technology Faculty of Electrical Engineering and Automation Changshu China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang China

ISBN: (纸本)9798350325294

This paper investigates the fault-tolerant control problem for the multi-input multi-output nonlinear systems with unknown dynamics and process faults. The process faults together with the unknown dynamics lead to dynamic uncertainties in the plant, such that the commonly used approximation techniques fail to be applied straightforward. To overcome this challenge, a novel fault-tolerant prescribed performance control scheme is developed in this paper. Except for the known control direction of the plant, no prior knowledge of the system model and the process faults is involved in the control law. Even so, there is no need to invoke the techniques for function approximation, parameter identification, disturbance estimation, fault detection, fault estimation, fault isolation, etc. The proposed controller guarantees reference tracking with the predefined transient and steady-state performance. The simulation results manifest the effectiveness and the advantage of the controller. © 2023 IEEE.

关键词： Nonlinear systems

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Tailoring Electrical Conductivity in Polymer-Derived Zr-Doped Sic Based Ceramics Through Structural Control for High Performance Li-Ion Battery Anodes

SSRN

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SSRN 2024年

作者： Jiang, Jiaojiao Ying, Siwei Wu, Chunxiao Yang, Chao State Key Laboratory of Biochemical Engineering Key Laboratory of Biopharmaceutical Preparation and Delivery Key Laboratory of Green Process and Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China School of Chemical Engineering University of Chinese Academy of Sciences Beijing100190 China College of Chemistry and Chemical Engineering Xiamen University Xiamen361000 China

Polymer-derived ceramics have emerged as a highly promising material class for electrochemical energy storage applications, offering meticulous control over nanoscale properties. Herein, a novel Zr-doped SiC based ceramic is synthesized from vinyl and zirconium-modified polycarbosilane precursors. This study elucidates that the complex structural evolution, involving the transformation of amorphous ZrO2 into distinct phases such as m-ZrO2, t-ZrO2, and ZrC, not only alters the spatial distribution of the free carbon ribbons but also exerts a significant influence on their structural morphology and equilibrium. Thereby reconfiguring the conductive network within the material, which resulting to an extraordinary pinpoint electrical conductivity of 0.28 S/cm and a minimal forbidden bandwidth annealled at 1400°C. Employing density functional theory, we unveil a remarkable phenomenon where the energy bands of the carbon ribbon potentially merge with those of the native cell, resulting in a narrowed energy bandgap and the emergence of conductive behavior within the lattice. The fabricated Li-ion battery demonstrates exceptional electrochemical performance, showcasing a competitive specific capacity of 383.5 mAh/g with commercial graphite material. And maintaining outstanding coulombic efficiency (99.5%) over extended cycling, unequivocally underscoring its potential as a stable and efficient anode material for cutting-edge energy storage applications. © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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Continuous generation of lattice oxygen via redox engineering for boosting toluene degradation performances

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Chinese Journal of Chemical engineering 2021年第6期34卷 258-266页

作者： Shiya He Zhimin You Xin Jin Yi Wu Cheng Chen He Zhao Jian Shen Department of Environment and Resources Xiangtan UniversityXiangtan 411105China State Key Laboratory of Heavy Oil Processing College of Chemical EngineeringChina University of PetroleumQingdao 266580China Beijing Engineering Research Center of Process Pollution Control Division of Environment Technology and EngineeringKey Laboratory of Green Process and EngineeringInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China

Excellent performances promoted by lattice oxygen have attracted wide attention for catalytic degradation of volatile organic compounds(VOCs).However,how to control the continuous regeneration of lattice oxygen from the support is seldom *** this study,we selected sepiolite supported manganese-cobalt oxides(Co_(x)Mn_(100-x)O_(y))as model catalysts by tuning Co/(Co+Mn)mass ratio(x=3%,10%,15%,and 20%)to enhance toluene degradation efficiency,owing to lattice oxygen regeneration by redox cycle existing at the interface and Mn species with high valence state,initiated by cobalt catalytic performance under the role of crystal field stability *** results of activity test show that the sepiolite-Co_(15)Mn_(85)O_(y)catalyst exhibit outperformances at 193℃with 10,000 h^(-1)*** addition,the catalyst existed at the bottom of the"volcano"curve correlated T_(50)or T_(90)with Co/(Co+Mn)weight ratio is sepiolite-Co_(15)Mn_(85)O_(y),conforming its *** characterized by investigating active sites structural and electronic properties,the essential of superior catalytic activity is attributed to the grands of lattice oxygen continuous formation resulted from redox engineering based on the high atomic ratio of surface lattice oxygen with continuous refilled from the support and that of Mn^(4+)/Mn^(3+)cycle initiated by cobalt catalytic *** in all,redox engineering,not only promotes grands of active species reversible regeneration,but supplies an alternative catalyst design strategy towards the terrific efficiency-to-cost ratio performance.

关键词： Redox engineering Crystal field stability phase Lattice oxygen Toluene degradation

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Synthesis ofγ-MnS/nanoporous carbon/reduced graphene oxide composites for high-performance supercapacitor

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Carbon Resources Conversion 2022年第3期5卷 222-230页

作者： Abiola Ganiyat Olatoye Jie Zhang Qianyu Wang Erping Cao Wenli Li Emmanuel Oluwaseyi Fagbohun Yanbin Cui State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

In the present work,nanoporous carbon(NPC)was prepared from a metal-organic framework(zeolite imidazolate framework 8,ZIF-8).Different concentrations of graphene oxide(GO)were used to make NPC/reduced graphene oxide(NPC/rGO-x,x=0.5,1.0,1.5,and 2.0)composites,and thenγ-MnS/NPC/rGO-1 composite was synthesized via a simple hydrothermal *** electrochemical characteristics of porous carbon composites(NPC/rGO-x)andγ-MnS/NPC/rGO-1 electrodes were investigated by galvanostatic charge and discharge,cyclic voltammetry,and electrochemical impedance ***/rGO-1 showed the highest specific capacitance of 207 F/g at 0.5 A/***,theγ-MnS/NPC/rGO-1 electrode demonstrates exceptional electrochemical performance with a high specific capacitance of 300 F/g at 0.5 A/g and impressive cyclic stability of 70%capacitance retention after 10,000 cycles at 1 A/*** a result,this study demonstrates thatγ-MnS/NPC/rGO-1 electrode can be considered a promising candidate for high-performance supercapacitors.

关键词： Metal-organic framework Nanoporous carbon Reduced graphene oxide γ-MnS Supercapacitor

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A Deep Nonconnectionist Learning Framework for Industrial Data Modeling

IEEE Journal of Selected Areas in Sensors

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IEEE Journal of Selected Areas in Sensors 2024年 1卷 105-113页

作者： Chen, Yongxuan Wang, Dianhui School of Low-Carbon Energy and Power Engineering Xuzhou221116 China China University of Mining and Technology Artificial Intelligence Research Institute Xuzhou221116 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China

Despite the extensive applications of deep neural networks in data modeling filed, there are still some obvious deficiencies for the implementation in modern industrial cases. There are mainly reflected in the following aspects: first, the architectures are difficult to configure;second, the modeling process is time-consuming;third, the training procedure easily falls into the local optimum situation. To overcome these problems, exploring the nonconnectionist learning model has become a popular topic recently. This article proposes a deep nonconnectionist learning model based on kernel principal component regression (KPCR), which is referred to as stacked KPCR (SKPCR). By stacking multiple KPCR modules, a multilayer learning model is constructed by adopting hierarchical feature extraction. In SKPCR, the model structure is determined incrementally and there is only one parameter needed to be configured for each layer. Furthermore, an enhanced learning strategy is designed for alleviating the information loss problem in the training process. An actual industrial case is used to validate the effectiveness, including the prediction performance and modeling efficiency, of our proposed method. © 2024 IEEE.

关键词： Deep neural networks

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