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Study of Cracking Mechanism and Wear Resistance in Laser Cladding Coating of Ni-based Alloy

Chinese Journal of Mechanical Engineering 2021年第5期34卷 259-272页

作者： Zhenglei Yu Lunxiang Li Deqiang Zhang Guangfeng Shi Guang Yang Zezhou Xu Zhihui Zhang Key Lab of Bionic Engineering Ministry of EducationJilin UniversityChangchun 130022China State Key Laboratory of Automotive Simulation and Control Jilin UniversityChangchun 130022China College of Mechanical and Electric Engineering Changchun University of Science and TechnologyChangchun 130022China College of Mechanical Engineering and Automation Liaoning University of TechnologyJinzhou 121001China Key Laboratory of Fundamental Science for National Defense of Aeronautical Digital Manufacturing Process Shenyang Aerospace UniversityShenyang 110136China

Nickel-based alloy coatings were widely used for the remanufacturing of dies and moulds by laser cladding,but the crack sensitivity would be increase due to the higher strength and hardness,which reduced the wear resistance of Ni-based *** this paper,Ni-based coatings with the addition of a plastic phase(an austenitic stainless net)were prepared using laser cladding technology,and the CeO_(2)was added in cladding *** cracking mechanism,microhardness,microstructure,phase composition,and wear properties were *** relationship between thermal stress and the elastic and plastic fracture had been developed from the standpoint of fracture mechan-ics and thermal elastic fracture *** fracture criterion of the nickel-based coating was obtained,and the study has shown that the crack sensitivity could be reduced by decreasing the thermal expansion coefficientΔα.Thus,a new method was proposed,which the stainless steel nets were prefabricated on the *** was found that the number of cracks reduced significantly with the addition of stainless steel *** the stainless steel net with 14 mesh was added in Ni-based coatings,the average microhardness of nickel composite coating was 565 HV_(0.2),which was 2.6 times higher than that of the 45 steel *** the rare earth oxide 4 wt.%CeO_(2)and stainless steel net were added in the Ni-based coating reducing the microhardness(the average microhardness is 425 HV_(0.2)),the wear resistance of it improved *** wear volume of Ni-based composite coating was 0.56×10^(−5) mm^(3)·N^(−1)·m^(−1),which was 85.1%lower than that of 45 *** experiment results have shown that the Nickel-based composite coating is equipped with low crack sensitivity and high abrasive resistance with austenitic stainless net and the rare earth oxide 4 wt.%*** research offers an efficient solution to produce components with low crack susceptibility and high wear-resistance coatings fabricated

关键词： Laser cladding Wear resistance Crack sensitivity Stainless steel net Rare earth oxide

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Method of Calculating Lake Water Storage in Areas without Topographical Data Based on Google Earth Engine

Method of Calculating Lake Water Storage in Areas without To...

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2020 International Conference on Innovative Solutions in Hydropower and Environmental and Civil Engineering

作者： Sun, Jiajun Cui, Yingjie Cao, Hongbin Beijing Engineering Research Center of Process Pollution Control Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China China Xiongan Group Co. Ltd Xiongan New Area Hebei Province China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research Beijing100038 China

Accurate ecological lake water calculation plays an important role in maintaining ecological health of and protecting lakes. However, the lack of topographical data for the bottom of the lake results in some complexity to the calculation of ecological lake water storage. This study uses remote sensing big data to overcome the data limitations of water calculations and accurately calculates the ecological water storage of Baiyangdian Lake. The results show that the water surface area of Baiyangdian Lake can be divided into a dry period (average water area of 7.15 km2), a decline period (155.64 km2), a stable period (67.29 km2), and a recovery period (119.17 km2). The ecological water storage of the lake has evolved from 200 million m3 to the current 300-600 million m3. This study provides an important reference for the ecological lake water calculations when topographical data is not available and for lakes with complex bottom topography. © Published under licence by IOP Publishing Ltd.

关键词： Lakes

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The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth

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Environmental Science and Ecotechnology 2025年第1期23卷 1-18页

作者： Jicheng Gong Zhicong Yin Yu Lei Xi Lu Qiang Zhang Cilan Cai Qimin Chai Huopo Chen Renjie Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Zhanfeng Dong Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Yongsheng Lin Jun Liu Jinghui Ma Yue Qin Weiqi Tang Dan Tong Jiaxing Wang Lijuan Wang Qian Wang Xuhui Wang Xuying Wang Libo Wu Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Li Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Zengkai Zhang Hongyan Zhao Bo Zheng Yixuan Zheng Tong Zhu Huijun Wang Jinnan Wang Kebin He State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Eco-Environmental Management and Policy Chinese Academy of Environmental PlanningBeijing100041China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Contr

The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms,targets,strategies,and governance *** report,based on a monitoring indicator system for coordinated governance of air pollution and climate change,employs an interdisciplinary approach combining natural and social *** establishes 20 indicators across five key areas:air pollution and climate change,governance systems and practices,structural transformation and technologies,atmospheric components and emission reduction pathways,and health impacts and *** report tries to provide actionable insights into the interconnectedness of air pollution and climate *** highlights key policy gaps,presents updated indicators,and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air *** to previous editions,this year's report has updated four key indicators:meteorological impacts on air quality,climate change and its effects,governance policies,and low-carbon building energy *** aim is to further refine the monitoring framework,track progress,and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean *** report comprises six *** executive summary chapter is followed by analyzing air pollution and climate change *** systems and practices are discussed in the third chapter,focusing on policy implementation and local *** fourth chapter addresses structural transformations and emission reduction technologies,including energy and industrial shifts,transportation,low-carbon buildings,carbon capture and storage,and power *** fifth chapter outlines atmospheric component dynamics and emission pathways,presenting insights into emission drivers and future *** sixth chapter assesses he

关键词： Synergetic roadmap Carbon neutrality Clean air

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The 2022 report of synergetic roadmap on carbon neutrality and clean air for China:Accelerating transition in key sectors

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Environmental Science and Ecotechnology 2024年第3期19卷 4-18页

作者： Yu Lei Zhicong Yin Xi Lu Qiang Zhang Jicheng Gong Bofeng Cai Cilan Cai Qimin Chai Huopo Chen Renjie Chen Shi Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Xiangzhao Feng Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Jun Liu Xin Liu Zhu Liu Jinghui Ma Yue Qin Dan Tong Xuhui Wang Xuying Wang Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Xin Zhang Zengkai Zhang Bo Zheng Yixuan Zheng Jian Zhou Tong Zhu Jinnan Wang Kebin He Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Policy Research Center for Environment and Economy Ministry of Ecology and Environment of the People's Republic of ChinaBeijing100029China Jiangsu Key Laboratory of Atmospheric Environment Monitoring

China is now confronting the intertwined challenges of air pollution and climate *** the high synergies between air pollution abatement and climate change mitigation,the Chinese government is actively promoting synergetic control of these two *** Synergetic Roadmap project was launched in 2021 to track and analyze the progress of synergetic control in China by developing and monitoring key *** Synergetic Roadmap 2022 report is the first annual update,featuring 20 indicators across five aspects:synergetic governance system and practices,progress in structural transition,air pollution and associated weather-climate interactions,sources,sinks,and mitigation pathway of atmospheric composition,and health impacts and benefits of coordinated *** to the comprehensive review presented in the 2021 report,the Synergetic Roadmap 2022 report places particular emphasis on progress in 2021 with highlights on actions in key sectors and the relevant *** milestones include the proportion of non-fossil power generation capacity surpassing coal-fired capacity for the first time,a decline in the production of crude steel and cement after years of growth,and the surging penetration of electric ***,in 2022,China issued the first national policy that synergizes abatements of pollution and carbon emissions,marking a new era for China's pollution-carbon *** changes highlight China's efforts to reshape its energy,economic,and transportation structures to meet the demand for synergetic control and sustainable ***,the country has witnessed a slowdown in carbon emission growth,improved air quality,and increased health benefits in recent years.

关键词： Synergetic roadmap Carbon neutrality Clean air

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Analysis and Design for Hydrogen-Fueled Cascade Solid Oxide Fuel Cell System

SSRN

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SSRN 2023年

作者： Liu, Peiyuan Zhang, Yongliang Zhu, Jianzhong Han, Minfang Sun, Kaihua Zhong, Haijun Zhang, XueRui State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Energy and Power Engineering Tsinghua University Beijing100084 China Xuzhou Huatsing Jingkun Energy Co. Ltd. Jiangsu Province 221005 China Petrochemical Research Institute China National Petroleum Corporation Beijing112206 China Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China

Maximizing total fuel utilization is the key to improving the electrical efficiency of solid oxide fuel cell (SOFC) systems. The cascade system can achieve this effectively, but there are fewer studies on hydrogen-fueled cascade systems, and the determination of suitable rated power ratios needs a basis. Because of the characteristics of cascade systems, a fast model that can predict performance at low flow rates and low hydrogen partial pressures is required. Using multiple sets of experimental data, this study developed and validated an improved semi-empirical model, which accurately predicted the industrial-sized cell performance at different flow rates and hydrogen partial pressures. On this basis, the basic parallel and cascade system models were established. The effects of fuel flow rate, rated power ratio, split ratio, and constraints on the system performance were studied and analyzed, and the appropriate design and operation parameters of the cascade system were determined. The results indicated that the cascade system can significantly improve electrical efficiency compared to the parallel system by selecting suitable design parameters. In the example of a 10-kW rated power system design, the cascade system improved the electrical efficiency by over 9% at rated power compared to the parallel system. The results obtained provide valuable reference for related research and offer guidance for system design. © 2023, The Authors. All rights reserved.

关键词： Electrical efficiency

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Performance Analysis on Hydrogen-Battery Coordination Storage for Renewable Energy Accommodation in Large-Scale Power System

Performance Analysis on Hydrogen-Battery Coordination Storag...

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Smart Power & Internet Energy Systems (SPIES), International Conference on

作者： Xiaopan Chen Qi Yang Na Meng Yan Cheng Jiang Wu Guanchu Chen MOEKLINNS Xi’an Jiaotong University Xi’an China Xinjiang Key Laboratory of Whole Process Simulation for Power System Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Urumqi China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing China

Energy storage is an effective measure to address the renewable energy curtailment problem in large-scale power systems. However, installing the same type of energy storage has limited improvement to the entire system when the total installed capacity of energy storage is fixed. In this paper, an optimal scheduling method for the hydrogen-battery coordination storage system is proposed to further improve renewable energy accommodation by combining the advantages of different types of energy storage. The coupling relationship between the power grid and the heat grid is also considered a way to reduce energy waste. Case tests based on actual operating data analyze the performance of systems with different energy storage configurations. Results indicate the effectiveness of the proposed method. The optimal installed capacity for hydrogen energy storage and battery energy storage is further researched to provide advice for energy storage planning.

关键词： Couplings Renewable energy sources Hydrogen storage Hydrogen Optimal scheduling Power grids Planning

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Bifunctional Catalyst of Cumn-Hzsm-5 for Selective Catalytic Reduction of No and Co Oxidation Under Oxygen Atmosphere

SSRN

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SSRN 2022年

作者： Guo, Yangyang Zheng, Yang Peng, Yue Yue, Tao Zhu, Tingyu CAS Key Laboratory of Green Process and Engineering Institute of Process Engineering Innovation Academy for Green Manufacture Chinese Academy of Sciences Beijing100190 China School of Energy and Environmental Engineering University of Science and Technology Beijing Beijing100083 China Tsinghua University School of Environment State Key Joint Laboratory Environment Simulation and& Pollution Control Beijing100084 China Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen361021 China

Simultaneous removal of NOx and CO from steel sintering has attracted great attention because it is difficult to balance catalyst reducibility and surface acidity merely using metal oxides or zeolite catalysts. In this study, a mixed CuMn-HZSM-5 catalyst was prepared via an impregnation method. The optimized sample exhibited excellent performance with 90% NO conversion and 100% CO conversion at 175°C. The activity window of the catalyst was coincident with the actual demand of sintering flue gas control in 150-250°C. The active component CuMn suppressed the excessive Brønsted acid sites on the zeolite support for NH3 adsorption, while the reducibility of the catalyst also decreased compared with that of pure CuMn metal oxides. This synergistic effect was beneficial for the reduction of NH3 nonselective oxidation with O2. In addition, both the DFT and DRIFTS results revealed that NO conversion was improved by CO introduction at low temperature, since NO could adsorb on the CO-preadsorbed sites for the reduction to N2 via the O atoms of Mn3c sites, i.e., adsorbed CO could also serve as a reductant to reduce NO to N2, which provides another reaction pathway in SCR reactions. Moreover, the NO2- and N2O2- species were observed in the spectra as key intermediates to oxidize CO to CO2, which are also the promoters of CO control. © 2022, The Authors. All rights reserved.

关键词： Zeolites

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Fusing multi-source data to map spatio-temporal dynamics of winter rape on the Jianghan Plain and Dongting Lake Plain, China

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Journal of Integrative Agriculture 2019年第10期18卷 2393-2407页

作者： TAO Jian-bin LIU Wen-bin TAN Wen-xia KONG Xiang-bing XU Meng Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences Central China Normal UniversityWuhan 430079P.R.China Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control Ministry of Water Resources/Yellow River Institute of Hydraulic ResearchZhengzhou 450003P.R.China

Mapping crop distribution with remote sensing data is of great importance for agricultural production, food security and agricultural sustainability. Winter rape is an important oil crop, which plays an important role in the cooking oil market of China. The Jianghan Plain and Dongting Lake Plain (JPDLP) are major agricultural production areas in China. Essential changes in winter rape distribution have taken place in this area during the 21st century. However, the pattern of these changes remains unknown. In this study, the spatial and temporal dynamics of winter rape from 2000 to 2017 on the JPDLP were analyzed. An artificial neural network (ANN)-based classification method was proposed to map fractional winter rape distribution by fusing moderate resolution imaging spectrometer (MODIS) data and high-resolution imagery. The results are as follows:(1) The total winter rape acreages on the JPDLP dropped significantly, especially on the Jianghan Plain with a decline of about 45% during 2000 and 2017.(2) The winter rape abundance keeps changing with about 20–30% croplands changing their abundance drastically in every two consecutive observation years.(3) The winter rape has obvious regional differentiation for the trend of its change at the county level, and the decreasing trend was observed more strongly in the traditionally dominant agricultural counties.

关键词： winter rape,spatio-temporal dynamics,time-series MODIS data artificial neural network

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Corrigendum to Press perturbations of microplastics and antibiotics on freshwater micro-ecosystem: Case study for the ecological restoration of submerged plants [Water Research, Volume 226, November 2022, 119248]

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Water Research 2023年 229卷

作者： Siyu Zhang Hao Wang Miaomiao Liu Hongwei Yu Jianfeng Peng Xiaofeng Cao Raf Dewil Chunrong Wang Ruiping Liu Mohammadreza Kamali Jiuhui Qu Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 China School of Chemical and Environmental Engineering China University of Mining and Technology (Beijing) Beijing 100083 China Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China Process and Environmental Technology Lab Department of Chemical Engineering KU Leuven J. De Nayerlaan 5 B-2860 Sint-Katelijne-Waver Belgium

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Size-induced axial segregation of binary mixtures in rotating drum of different lengths

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Chemical Engineering Science 2025年 316卷

作者： He, Jielong Wang, Yuelei Yang, Liuyimei Xu, Jin Zheng, Qijun Liu, Sida Zhou, Zongyan Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Nanchang330013 China Research Centre for Intelligent Mineral Processing & Metallurgy International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou341000 China Centre for Simulation and Modelling of Particulate Systems Monash-Southeast University Joint Research Institute Suzhou215123 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University MelbourneVIC3800 Australia

This study investigates the size-induced axial segregation of binary mixtures in rotating drums, particularly focusing on the effect of drum length. The results indicate that long drums require more time to achieve stable segregation and form more segregation bands. The core region under the free bed surface remains predominantly filled with small particles, indicating that radial segregation occurs simultaneously with the axial segregation. The angle of repose of large particle bands is consistently greater than that of small particle bands, which drives the migration of large particles. Short drums are more sensitive to changes in rotational speed, while long drums with moderate rotational speed promote the formation of segregation bands. The width of small particle bands shows an increasing–decreasing-stabilizing trend with the drum length increasing. An analysis of particle velocities reveals that the characteristics of segregation bands are closely related to the relative velocity difference between large and small particles. © 2025 Elsevier Ltd

关键词： Binary mixtures

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