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CrN supported by carbon nanosheets as efficient catalysts toward oxygen reduction reaction and Zn-air batteries

Rare Metals 2024年第10期43卷 4973-4981页

作者： Ya-Ting Zhang Fan Zhang Zhe Lu Jun-Ming Luo Su-Yang Feng Qi Wang Hui Chen Hao-Ming Wu Zheng-Pei Miao Bin Chi Neng Yu Cheng-Hang You Jing Li Xin-Long Tian School of Chemistry and Chemical Engineering School of Marine Science and EngineeringHainan Provincial Key Lab of Fine ChemistryHainan UniversityHaikou 570228China State Power Investment Group Hainan Electric Power Co.Ltd.Haikou 570100China Key Laboratory of Fuel Cell Technology of Guangdong Province Guangzhou 510641China Shenzhen Automotive Research Institute Beijing Institute of TechnologyShenzhen 518118China State Key Laboratory of Nuclear Resources and Environment East China University of TechnologyNanchang 330013China

Exploring non-precious efficient oxygen reduction reaction(ORR)catalysts is of great significance to fuel cells and Zn-air batteries(ZABs).CrN is a theoretically promising ORR catalyst,but its potential needs to be unlocked by proper supports that provide high conductivity and high exposure of active *** this work,we introduce a novel synthesis of carbon nanosheets-supported CrN nanoparticles(CrN/C)by annealing the mixture of CrCl_(3),1,10-phenanthroline and melamine via a two-step *** prepared CrN/C materials show good ORR activity and stability in acidic and alkaline *** optimal CrN/C material has an ORR half-wave potential of 0.73 and 0.72 V(*** hydrogen electrode)in acidic and alkaline media,*** it retains 82% and 78% of ORR current density in acidic and alkaline media after durability tests,***,the optimal CrN/C material-based self-breathing ZABs deliver a maximum power density of 168 mW·cm^(-2),which is one of the highest among transition metal nitrides-based ZABs It is found that the ORR activity of CrN/C materials is highly related to the Cr-N valence *** work highlights the good potential of CrN as robust ORR catalyst and verifies its promising application in ZABs.

关键词： Fuel cells Zn-air batteries Oxygen reduction reaction CrN Carbon nanosheets

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Effect of Active–Passive Deformation on the Thrust by the Pectoral Fins of Bionic Manta Robot

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Journal of Bionic engineering 2024年第2期21卷 718-728页

作者： Yang Lu Shaomin Meng Cheng Xing Yiwei Hao Yonghui Cao Guang Pan Yong Cao School of Marine Science and Technology Northwestern Polytechnical UniversityXi’an710072China Unmanned Vehicle Innovation Center Ningbo Institute of NPUNingbo315103China State Key Lab of Fluid Power and Mechatronic Systems School of Mechanical EngineeringZhejiang UniversityHangzhou310027China Zhejiang Key Laboratory of Advanced Manufacturing Technology School of Mechanical EngineeringZhejiang UniversityHangzhou310027China

Bionic manta underwater vehicles will play an essential role in future oceans and can perform tasks,such as long-duration reconnaissance and exploration,due to their efficient *** manta wings’deformation is evident during the swimming *** improve the propulsion performance of the unmanned submersible,the study of the deformation into the bionic pectoral fin is *** this research,we designed and fabricated a flexible bionic pectoral fin,which is based on the Fin Ray®effect with active and passive deformation(APD)*** APD fin was actively controlled by two servo motors and could be passively deformed to variable *** APD fin was moved at 0.5 Hz beat frequency,and the propulsive performance was experimentally verified of the bionic pectoral fins equipped with different extents of *** results showed that the pectoral fin with active–passive deformed capabilities could achieve similar natural biological deformation in the wingspan *** average thrust(T)under the optimal wingspan deformation is 61.5%higher than the traditional passive deformed pectoral *** obtained results shed light on the design and optimization of the bionic pectoral fins to improve the propulsive performance of unmanned underwater vehicles(UUV).

关键词： Manta ray Bionic pectoral fin Fin Ray®effect Active-passive deformation(APD)

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Oxygen reduction reaction activity of Co3O4-modified Pt-graphene electrocatalysts 3

Oxygen reduction reaction activity of Co3O4-modified Pt-grap...

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2024 3rd International Conference on Energy Utilization and Automation, ICEUA 2024

作者： Liu, Hangcheng Tao, Zeyu Liu, Jianfeng Shi, Zhengrong College of Energy and Mechanical Engineering Shanghai University of Electric Power Shanghai200120 China Key Lab. of Clean Power Generation and Environmental Protection Technology in Machinery Industry Shanghai200120 China

In this paper, the ORR activity of Pt/Co3O4-modified N-doped graphene electrocatalysts was investigated based on DFT theory. The Dmol3 module in Materials Studio software was used to optimize the construction of NG models under different doping conditions and to calculate the adsorption and desorption properties of oxygen molecules by optimizing the conformation of Pt13 clusters and substrates. A comparative analysis revealed that the Co3O4 modification reduced the oxygen adsorption energy of the Pt/G catalyst. However, after N doping, the oxygen adsorption energy of Pt/Co3O4/NG was superior to that of Pt/NG. After theoretical analysis, it was determined that it was because the doping of N atoms in graphene could promote the release of oxygen vacancies in Co3O4 and strengthen the adsorption interaction between Pt and graphene carriers to improve the oxygen adsorption energy. © Published under licence by IOP Publishing Ltd.

关键词： Graphene

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Study on startup characteristics of prototype once-through steam generator for China fast reactor

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International Journal of Advanced Nuclear Reactor Design and technology 2022年第1期4卷 26-35页

作者： Min, Xin Zhang, Dalin Xu, Rongshuan Wang, Shibao Chen, Youchun Wang, Chenglong Tian, Wenxi Qiu, Suizheng Su, G.H. State Key Laboratory of Multiphase Flow in Power Engineering Shaanxi Key Lab. of Advanced Nuclear Energy and Technology School of Nuclear Science and Technology Xi'an Jiaotong University Xi'an710049 China

Once-through steam generator (OTSG) is a vital heat transfer equipment of China Fast Reactor-600 (CFR-600), and its startup characteristics are of great importance to the safe operation of nuclear power plant. In this paper, first of all, the Thermal-hydraulic analysis Code Of Sodium heated once-through Steam generator (TCOSS) has been further optimized, and the code was introduced in the text. Secondly, the Steam Generator Test Facility (SGTF) and India Commercial Fast Breeder Reactor (CFBR) were selected for steady-state verification, and the feedwater flow rate increase condition of the prototype OTSG experiment was selected for transient verification. All the verifications were in good compliance, which proved the reliability of the TCOSS code for subsequent calculation of startup conditions. Finally, taking the prototype OTSG of CFR-600 as the research object, and the transient characteristics of cold startup and hot startup have been predicted and analyzed. The results show that both processes of cold startup and hot startup for prototype OTSG can be realized stably. The simulation results of startup processes showed a good agreement with expectations, which can provide support for the development of CFR-600 steam generator. © 2022 Xi'an Jiaotong University

关键词： Steam generators

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Numerical simulation on tar cracking behavior under the Brown's Gas atmosphere 7

Numerical simulation on tar cracking behavior under the Brow...

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2023 7th International Conference on Hydrodynamics, Energy and Electric power System, HEEPS 2023

作者： Yang, Shuo Wang, Shaohui Cui, Jie Fu, Yudong Jiang, Xin Zhang, Yupeng Yan, Zeyi Key Lab. of Liaoning Province for Clean Combustion Power Generation and Heating Supply Technology Shenyang Institute of Engineering Shenyang110136 China

The Chemkin® calculation software platform was used in this paper, using benzene, toluene, and phenol as tar model compounds, and the cracking law of Brown's gas to tar model compounds was studied by sensitivity analysis at the temperature of 892.5 K and 1130.5 K, respectively. The results showed that the active free radicals of -H and -O in Brown's gas promote the breaking of methyl bonds and hydrogen bonds, and the formation of phenoxy ions. With the increasing temperature, the secondary products also promote the tar components cracking. Brown's gas plays an obvious catalytic role in tar cracking, reducing the activation energy of the reaction, and resulting in a decrease in cracking reaction temperature. In addition to active free radicals of Brown's gas involved in tar cracking, the phenoxy ions also indirectly affect the tar cracking rate. © Published under licence by IOP Publishing Ltd.

关键词： Free radicals

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CFD simulations targeting the performance of the NTNU BT1 wind turbine using overset grids

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Journal of Hydrodynamics 2023年第5期35卷 954-962页

作者： Mao-kun Ye Ni-na Wang Hamn-Ching Chen De-cheng Wan Computational Marine Hydrodynamics Lab(CMHL) School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai200240China Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province Huadong Engineering Corporation LimitedHangzhou310014China Zachry Department of Civil and Environmental Engineering Texas A&M UniversityCollege StationTexasUSA

In the present study, the performance of the NTNU Blind Test 1 wind turbine is analyzed in the computational fluid dynamics (CFD) simulations by using the CFD code FANS with structured overset grids. First, the numerical methods including the governing equations, the turbulence closure model, and the flow solver are introduced. In addition, the NTNU BT1 wind tunnel experiment is described. Then, structured overset grid blocks are generated in the computational domain with fully resolved wind turbine geometry, including the blades, hub, nacelle, and tower. Afterward, unsteady Reynolds averaged Navier-Stokes (RANS) simulations with the two-layer k - ε turbulence model are performed with an inlet velocity of 10 m/s and a tip-speed ratio (TSR) of 6. The overset-grid capability of FANS is leveraged to handle the rotation of the rotor. Finally, simulations are performed for a range of TSRs and a comparison is made among the present CFD results, other numerical results obtained from representative methods, and the experimental data. It is observed that the CFD-predicted thrust coefficients match the experimental measurement at low TSRs while under-predicting the values at high TSRs, and potential reasons for this deviation are discussed.

关键词： Wind turbine performance computational fluid dynamics(CFD) overset grids

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Design and Optimization of High-Speed Switched Reluctance Machines for Aerospace Applications

Design and Optimization of High-Speed Switched Reluctance Ma...

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2024 International Conference on Electrical Machines, ICEM 2024

作者： Ge, Haorui Hua, Hao Duan, Xiaoli Li, Ruini Shanghai Jiao Tong University Department of Electrical Engineering Shanghai China Shaanxi Aero Electric Co. Ltd Aviation Key Lab. of Science and Technology on Aerospace Power Sys Xi'an China

ISBN: (纸本)9798350370607

A multi-objective optimization method of high-speed switched reluctance machines (SRMs) is presented based on the field-circuit co-simulations integrating the finite element method (FEM) and the genetic algorithm. The adverse impact of the manufacturing process on the material properties is considered through the experimental test on a toroidal laminated core, with which the prediction accuracy of the electromagnetic performances of high-speed SRMs is enhanced. In addition, the empirical allocation of weight coefficients on multi-optimization objectives is avoided by introducing the loss density as a boundary condition in the optimization, simplifying the optimization task. A case study targeting at the 15 kW, 20000 r/min SRM is presented, based on which the feasibility and effectiveness of the proposed optimization method are validated. The efficiency of the optimal SRM increases by 1.7% compared with the initial design, whilst the mass is reduced by 0.51 kg. © 2024 IEEE.

关键词： Smart manufacturing

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Research on Multi-objective Optimization of Capacity Allocation for marine Hybrid Energy Storage System 4

Research on Multi-objective Optimization of Capacity Allocat...

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2020 4th International Conference on Energy Material, Chemical engineering and Mining engineering, EMCEME 2020

作者： Wang, Zecheng Li, Xin School of Energy and Power Engineering Wuhan University of Technology Wuhan430063 China Key Lab. of Marine Power Engineering and Tech

The hybrid energy storage system's allocation problem is a multi-target and multi-direction optimization problem. Single-objective allocation for the marine Hybrid Energy Storage System (MHESS) cannot help the hybrid energy storage system unit give play to its optimal effect. A diesel-electric hybrid ship is used as the object. In this paper, a mathematical model of a hybrid energy storage device is established, and multi-objective optimization allocation is performed on the model based on the NSGA-II. Finally, the optimized model is applied to a ship, and eleven kinds of batteries and six supercapacitors are selected for simulation. The simulation results show the relationship between the objective functions. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Ships

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Variable Frequency Phase-Shift Modulation Technique for Single Stage Dual-Active-Bridge AC-DC Converter 11

Variable Frequency Phase-Shift Modulation Technique for Sing...

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11th International Conference on power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Guo, Dongxin Wang, Panbao Ren, Chunguang Guerrero, Josep M. Harbin Institute of Technology School of Electrical Engineering and Automation Harbin China Taiyuan University of Technology Shanxi Key Lab. of Power System Operation and Control Taiyuan China Aalborg University Department of Energy Technology Aalborg Denmark

ISBN: (纸本)9788957083505

This article proposes a variable frequency phase-shift modulation technique for single stage dual-active-bridge (DAB) AC-DC converter. This isolated single-stage single-phase converter consists of a DAB and a full bridge (FB) inverter. The proposed strategy applies a composite control strategy combining frequency modulation and extended phase shift (EPS) method to overcome the drawback of the non-linear power control of traditional phase-shift control scheme, which significantly reduces the complexity of the controller algorithm. Moreover, the synchronous inverter control applied to the back-end FB inverter is designed, which can realize the energy conversions in a single-stage, and a high frequency (HF) filter capacitor can replace the electrolytic capacitor at the output side DC-link. Thus, the safety of system operation improves and the power density of the system increases. Finally, simulation results confirm the validity and practical feasibility of the proposed control strategy. © 2023 The Korean Institute of power Electronics.

关键词： Electrolytic capacitors

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Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning

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Visual Computing for Industry,Biomedicine,and Art 2024年第1期7卷 19-32页

作者： Linxuan Wang Jinghua Xu Shuyou Zhang Jianrong Tan Shaomei Fei Xuezhi Shi Jihong Pang Sheng Luo State Key Lab of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhouZhejiang 310058China Engineering Research Center for Design Engineering and Digital Twin of Zhejiang Province Zhejiang UniversityHangzhouZhejiang 310058China State Key Lab of Materials Processing and Die&Mould Technology Huazhong University of Science and TechnologyWuhanHubei 430074China School of Marine Engineering Equipment Zhejiang Ocean UniversityZhoushanZhejiang 316022China College of Business Shaoxing UniversityShaoxingZhejiang 312000China College of Computer Science and Artificial Intelligence Wenzhou UniversityWenzhouZhejiang 325000China

This study presents an energy consumption(EC)forecasting method for laser melting manufacturing of metal artifacts based on fusionable transfer learning(FTL).To predict the EC of manufacturing products,particularly from scale-down to scale-up,a general paradigm was first developed by categorizing the overall process into three main *** operating electrical power was further formulated as a combinatorial function,based on which an operator learning network was adopted to fit the nonlinear relations between the fabricating arguments and ***-arranged networks were constructed to investigate the impacts of fabrication variables and devices on *** the interconnections among these factors,the outputs of the neural networks were blended and fused to jointly predict the electrical *** innovatively,large artifacts can be decomposed into timedependent laser-scanning trajectories,which can be further transformed into fusionable information via neural networks,inspired by large language ***,transfer learning can deal with either scale-down or scale-up forecasting,namely,FTL with scalab.lity within artifact *** effectiveness of the proposed FTL was verified through physical fabrication experiments via laser powder bed *** relative error of the average and overall EC predictions based on FTL was maintained below 0.83%.The melting fusion quality was examined using metallographic *** proposed FTL framework can forecast the EC of scaled structures,which is particularly helpful in price estimation and quotation of large metal products towards carbon peaking and carbon neutrality.

关键词： Energy consumption forecasting Large metal artifacts Carbon peaking and carbon neutrality Laser powder bed fusion Fusionable transfer learning

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