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Design and test of the key components for a combing-type tobacco harvester

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International Journal of Agricultural and Biological Engineering 2024年第1期17卷 145-153页

作者： Chaoran Sun Shaohui Tan Songling Sun Mingtao Xiao Limei Chen Wenke Ai Zhihua Qiu Ping Jiang Yang He School of Mechanical and Electrical Engineering Hunan Agricultural UniversityChangsha 410128China Truking Technology Limited Ningxiang 410600HunanChina Construction of tobacco leaf production infrastructure of Hunan Province Company of China National Tobacco corporation office Changsha 410009China

In response to the problems of low efficiency,high labor intensity,and low mechanization in manual tobacco harvesting,a comb-off tobacco picking device for southern hilly tobacco areas was designed following the agronomic requirements and the principle of manual picking of tobacco harvesting in southern *** device was composed of the power chassis,picking mechanism,and storage *** study involved the theoretical analysis,structural design,and modeling of the key components,such as chassis structure,combing-type picking mechanism,and power synchronization *** results of the motion analysis and calculation of the picking process demonstrated that the adjustment range of the comb chain elevation angles was from 12.4°to 20.9°,the comb rod installation distance was 76.2 mm,and the synchronizing mechanism transmission ratio was 3:***-factor test and three-factor three-level orthogonal test was performed with the forward speed of the chassis,the distance between the picking device baffles and the elevation angle of the chain with the combing bar as test factors,and the rate of broken and missed tobacco picking as evaluation *** was revealed that the optimal combination of the forward speed of the chassis,the distance between the baffles,and the chain elevation angle were 1.5 km/h,75 mm,and 12.4°,***,verification tests suggested that the breakage rate of tobacco leaves was 9.99%,and the probability of missed tobacco picking was 7.31%,both of which satisfy the agriculture requirements and the operational requirements in the agricultural machinery certification syllabus.

关键词： harvesting machinery leaf tobacco combing-type tiered harvest synchronizing mechanism

Quantum weak force sensing with squeezed magnomechanics

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Science China(Physics,Mechanics & Astronomy) 2024年第10期Mechanics & Astronomy) .卷 27-36页

作者： Qian Zhang Jie Wang Tian-Xiang Lu Ran Huang Franco Nori Hui Jing Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal University College of Physics and Electronic Information Gannan Normal University Theoretical Quantum Physics Laboratory Cluster for Pioneering ResearchRIKEN Center for Quantum Computing RIKEN Department of Physics University of Michigan Academy for Quantum Science and Technology Zhengzhou University of Light Industry

Cavity magnomechanics, exhibiting remarkable experimental tunability, rich magnonic nonlinearities, and compatibility with various quantum systems, has witnessed considerable advances in recent years. However, the potential benefits of using cavity magnomechanical(CMM) systems in further improving the performance of quantum-enhanced sensing for weak forces remain largely unexplored. Here we show that, by squeezing the magnons, the performance of a quantum CMM sensor can be significantly enhanced beyond the standard quantum limit(SQL). We find that, for comparable parameters, two orders of magnitude enhancement in the force sensitivity can be achieved in comparison with the case without magnon squeezing. Moreover, we obtain the optimal parameter regimes of homodyne angle for minimizing the added quantum noise. Our findings provide a promising approach for highly tunable and compatible quantum force sensing using hybrid CMM devices, with potential applications ranging from quantum precision measurements to quantum information processing.

关键词： quantum force sensing cavity magnomechanics magnon Kerr effect

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Effects of ZrO_2 Nanoparticles on the Microstructure and Thermal-protective Properties of PEO Coating on Al-12.5%Si Alloy

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Journal of Wuhan University of Technology(Materials Science) 2019年第1期34卷 156-164页

作者： WANG Ping HAN Jing YAN Junheng WANG Jiandong Shaanxi Key Laboratory of Photoelectric Functional Materials and Devices School of Materials and Chemical Engineering Xi'an Technological University QuFu JinHuang Piston corporation Limited Xi'an Military Representative office PLA

PEO ceramic coatings including ZrO_2-Al_2O_3-SiO_2 in three phases were prepared on an Al-12.5%Si alloy in electrolyte solutions containing ZrO_2 nanoparticles. The microstructures and phases of the coatings were analyzed by SEM and XRD, and the heat insulation performance and the thermal shock resistance of the coatings were investigated. The compactness of the coating increased significantly and the hindrance of the Si element on plasma electrolytic oxidation process was effectively weakened. The growth rate of the coating was improved substantially with the addition of ZrO_2 nanoparticles. The PEO ceramic coatings are primarily composed of SiO_2 and high temperature steady phases such as a-Al_2O_3 and c-ZrO_2. Both the content of c-ZrO_2 and the heat-insulating property of the coating increased significantly. The ceramic coatings with special microstructure and composition formed in the solutions containing ZrO_2 nanoparticles possess excellent heat insulation performance and thermal shock resistance.

关键词： Al-12.5%Si alloy modified plasma electrolytic oxidation ZrO2 nanoparticles heat-insulating properties thermal shock resistance

Machine-learning-based intelligent framework for discovering refractory high-entropy alloys with improved high-temperature yield strength

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npj Computational Materials 2022年第1期8卷 2247-2257页

作者： Stephen A.Giles Debasis Sengupta Scott R.Broderick Krishna Rajan CFD Research corporation 6820 Moquin Dr.NWHuntsvilleAL35806US Department of Material Design and innovation University at Buffalo120 Bonner HallBuffaloNY14260USA

Refractory high-entropy alloys(RHEAs)show significant elevated-temperature yield strengths and have potential to use as high-performance materials in gas turbine *** the vast RHEA compositional space experimentally is challenging,and a small fraction of this space has been explored to *** work demonstrates the development of a state-of-the-art machine learning framework coupled with optimization methods to intelligently explore the vast compositional space and drive the search in a direction that improves high-temperature yield *** yield strength model is shown to have a significantly improved predictive accuracy relative to the state-of-the-art approach,and also provides inherent uncertainty quantification through the use of repeated k-fold *** developing and validating a robust yield strength prediction model,the coupled framework is used to discover RHEAs with superior high temperature yield *** have shown that RHEA compositions can be customized to have maximum yield strength at a specific temperature.

关键词： strength alloys entropy

Silver based single atom catalyst with heteroatom coordination environment as high performance oxygen reduction reaction catalyst

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Nano Research 2022年第9期15卷 7968-7975页

作者： Rui Sui Xuejiang Zhang Xingdong Wang Xinyu Wang Jiajing Pei Yufeng Zhang Xuerui Liu Wenxing Chen Wei Zhu Zhongbin Zhuang State Key Lab of Organic-Inorganic Composites and Beijing Advanced innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China International Clean Energy Research office China Three Gorges CorporationBeijing 100038China Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Key Laboratory of Energy Environmental Catalysis Beijing University of Chemical TechnologyBeijing 100029China

Ag is a potential low-cost oxygen reduction reaction(ORR)catalyst in alkaline condition,which is important for the zinc-air ***,we report that an Ag based single atom catalyst with heteroatom ***1-h-NPClSC,has been synthesized and shown much improved performance towards ORR by manipulating the coordination environment of the Ag *** shows a high half wave potential(0.896 V)and a high turnover frequency(TOF)(5.9 s^(−1))at 0.85 V,which are higher than the previously reported Ag based catalysts and commercial Pt/C.A zinc-air battery with high peak power density of 270 mW·cm^(−2)is fabricated by using the Ag1-h-NPClSC as air *** high performance is attributed to(1)the hollow structure providing good mass transfer;(2)the single atom metal center structure providing high utility of the Ag;(3)heteroatom coordination environment providing the adjusted binding to the ORR *** functional theory(DFT)calculations show that the energy barrier for the formation of OOH*,which is considered as the rate determine step for ORR on Ag nanoparticles,is lowered on Ag1-h-NPClSC,thus improving the ORR *** work demonstrates that the well manipulated Ag based single atom catalysts are promising in electrocatalysis.

关键词： Ag single-atom heteroatom coordination oxygen reduction zinc-air battery

Whole-Genome Resequencing of a Worldwide Collection of Rapeseed Accessions Reveals the Genetic Basis of Ecotype Divergence

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Molecular Plant 2019年第1期12卷 30-43页

作者： Dezhi Wu Zhe Liang Tao Yan Ying Xu Lijie Xuan Juan Tang Gang Zhou Ulrike Lohwasser Shuijin Hua Haoyi Wang Xiaoyang Chen Qian Wang Le Zhu Antony Maodzeka Nazim Hussain Zhilan Li Xuming Li Imran Haider Shamsi Ghulam Jilani Linde Wu Hongkun Zheng Guoping Zhang Boulos Chalhoub Lisha Shen Hao Yu Lixi Jiang institute of Crop Science Zhejiang UniversityHangzhou 310058China Temasek Life Sciences Laboratory and Department of Biological Science National University of SingaporeSingapore 117543Singapore Biomarker Technologies corporation Beijing 101300China Department of Genebank Leibniz institute of Plant Genetics and Crop Plant Research06466 Stadt SeelandGermany Institute of Crop and Nuclear Agricultural Sciences Zhejiang Academy of Agricultural SciencesHangzhou 310021China office of Research Innovation & CommercializationPMAS-Arid Agricultural University Rawalpindi46300 RawalpindiPakistan Institute of Crop Science Jinhua Academy of Agncultural SciencesJinhua 321017China

Rapeseed (Brassica napus),an important oilseed crop,has adapted to diverse climate zones and latitudes by forming three main ecotype groups,namely winter,semiwinter,and spring types. However,genetic variations underlying the divergence of these ecotypes are largely unknown. Here,we report the global pattern of genetic polymorphisms in rapeseed determined by resequencing a worldwide collection of 991 germplasm accessions.A total of 5.56 and 5.53 million singlenucleotide polymorphisms (SNPs)as Well as 1.86 and 1.92 million InDels were identified by mapping reads to the reference genomes of "Darmor-bzh"and "Tapidor,"*** generated a map of allelic drift paths that shows splits and mixtures of the main populations,and revealed an asymmetric evolution of the two subgenomes of *** by calculating the genetic diversity and linkage disequilibrium ***-sweep analysis revealed genetic changes in genes orthologous to those regulating various aspects of plant development and response to stresses.A genome-wide association study identified SNPs in the promoter regions of FLOWERING LOCUS T and FLOWERING LOCUS C orthologs that corresponded to the different rapeseed ecotype groups. Our study provides important insights into the genomic footprints of rapeseed evolution and flowering-time divergence among three ecotype groups,and will facilitate screening of molecular markers for accelerating rapeseed breeding.

关键词： Brassica napus genome resequencing selective sweep ecotype divergence GWAS floweringtime trait

Probability distribution of wind power volatility based on the moving average method and improved nonparametric kernel density estimation

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Global Energy Interconnection 2020年第3期3卷 247-258页

作者： Peizhe Xin Ying Liu Nan Yang Xuankun Song Yu Huang State Grid Economic and Technological Research Institute Co.Ltd. State Grid Office DistrictNorth District of Future Science and Technology CityNorth Seven Changping DistrictBeijing 102209P.R.China Department of Hubei Provincial Collaborative innovation Center for New Energy Microgrid China Three Gorges UniversityYichangHubei Province 443000P.R.China Stevens Institute of Technology HobokenNJ 07030USA

In the process of large-scale,grid-connected wind power operations,it is important to establish an accurate probability distribution model for wind farm *** this study,a wind power fluctuation modeling method is proposed based on the method of moving average and adaptive nonparametric kernel density estimation(NPKDE)***,the method of moving average is used to reduce the fluctuation of the sampling wind power component,and the probability characteristics of the modeling are then determined based on the ***,the model is improved adaptively,and is then solved by using constraint-order *** simulation results show that this method has a better accuracy and applicability compared with the modeling method based on traditional parameter estimation,and solves the local adaptation problem of traditional NPKDE.

关键词： Moving average method Signal decomposition Wind power fluctuation characteristics Kernel density estimation Constrained order optimization

Great Events Expressed Achievements of Chinese Daily Chemical Industry in 2019

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China Detergent & Cosmetics 2019年第3期4卷 7-9页

作者： Editorial office of China Detergent & Cosmetics Editorial office of China Detergent & Cosmetics

Sponsored by China Research Institute of Daily Chemical Industry, China International Personal Care & Home Care Ingredients and Packaging & Machinery Equipment Exhibition 2019 (IPE2019) was grandly held in Guangzhou on July 15 to 17, 2019. It is the kernel activity that RIDCI focuses on, and also a splendid exhibition related to daily chemical industry in China. Mr. Zhang Wanshun, the General Manager Assistant of China Poly Group corporation Ltd., also the President of Sinolight corporation, indicated in his opening speech, IPE2019 aims at building a comprehensive, multilevel and high-quality service exchange platform for Chinese daily chemical industry, it will empower the real economy through scientific and technological innovation to achieve goal of promoting high-quality development of the whole industry.

关键词： Chinese Daily Chemical Industry

Reinforcement learning based dynamic distributed routing scheme for mega LEO satellite networks

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Chinese Journal of Aeronautics 2023年第2期36卷 284-291页

作者： Yixin HUANG Shufan WU Zeyu KANG Zhongcheng MU Hai HUANG Xiaofeng WU Andrew Jack TANG Xuebin CHENG School of Aeronautics and Astronautics Shanghai Jiao Tong UniversityShanghai 200240China School of Astronautics Beihang UniversityBeijing 100191China School of Aerospace Mechanical and Mechatronic EngineeringThe University of SydneyCamperdown 2006Australia X-Laboratory The Second Academy of China Aerospace Science and Industry CorporationBeijing 100854China

Recently,mega Low Earth Orbit(LEO)Satellite Network(LSN)systems have gained more and more attention due to low latency,broadband communications and global coverage for ground *** of the primary challenges for LSN systems with inter-satellite links is the routing strategy calculation and maintenance,due to LSN constellation scale and dynamic network topology *** order to seek an efficient routing strategy,a Q-learning-based dynamic distributed Routing scheme for LSNs(QRLSN)is proposed in this *** achieve low end-toend delay and low network traffic overhead load in LSNs,QRLSN adopts a multi-objective optimization method to find the optimal next hop for forwarding data *** results demonstrate that the proposed scheme can effectively discover the initial routing strategy and provide long-term Quality of Service(QoS)optimization during the routing maintenance *** addition,comparison results demonstrate that QRLSN is superior to the virtual-topology-based shortest path routing algorithm.

关键词： LEO satellite networks Mega constellation Multi-objective optimization Routing algorithm Reinforcement learning