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42nd Chinese Control Conference, CCC 2023

作者： Wang, Xudong Xu, Weiliang Dhupia, Jaspreet Bronlund, John Han, Jianda The University of Auckland Department of Mechanical & Mechatronics Engineering Auckland New Zealand School of Food and Advanced Technology Massey University Palmerston North New Zealand Reddit Institute Palmerston North New Zealand Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin China Nankai University Tianjin Key Laboratory of Intelligent Robotics Tianjin China

ISBN: (纸本)9789887581543

The aim of the development of the chewing robots is to study the biomechanics of chewing process or produce the bolus for further research by in vitro experiments. Some chewing robots are open loop controlled and couldn't behave like a human. However, to make the chewing robots more bin-mimic, force feedback based closed loop control is required. To improve the efficiency of the in-vitro chewing experiments, a next generation chewing robot with cam-follower based multi-chambers was developed previously, which can be used test the effect of different chewing parameters on the chewing performance and food texture changes simultanously. In this paper, modified admittance control based on the force feedback was applied to the chewing robot. At first, to improve food particle size reduction to a distribution which closely matches that produced by human and protect the components of the robot from breakage or impact damage, a spring mass based system, called remote center compliance (RCC), was developed and applied to the robot to control the chewing force. Then, based on the knowledge of human chewing process, power-based algorithm, and modified admittance control method were used as the feedback to adjust the angular velocity of the motor and corresponding chewing velocity of the teeth. The performance of the control model was also simulated, results showed that the model is reliable to control the robot and make it bio-mimic. © 2023 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Compliance control

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Bridging from the Sequence to Architecture: Graft Copolymers Engineering via Successive Latent Monomer and Grafting-from Strategies

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Chinese Journal of Chemistry 2021年第5期39卷 1273-1280页

作者： Yajie Zhang Xiaohuan Cao Yang Gao Yujie Xie Zhihao Huang Zhengbiao Zhang Xiulin Zhu State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials Jiangsu Key Laboratory of Advanced Functional Polymer Design and ApplicationCollege of ChemistryChemical Engineering and Materials ScienceSoochow UniversitySuzhouJiangsu 215123China State Key Laboratory of Radiation Medicine and Protection Soochow UniversitySuzhouJiangsu 215123China Global Institute bf Software Technology No.5 Qingshan RoadSuzhou National Hi-Tech DistrictSuzhouJiangsu 215163China

The on-demand building copolymer structures,from sequence to architecture,is crucial in understanding the relation between pol-ymer structure and property,meanwhile motivating the innovation of polymer ***,the challenge is conspicuous for,complicated polymer structures from inherently intricate *** this work,copolymers with tailored grafting density and distributions were achieved using successive latent monomer and grafting-from *** hydroxyl group functionalized fu-ran/maleimide adduct(FMOH)was selected as the latent monomer for RAFT polymerization of an array of copolymers with tailored localization of hydroxyl group along the main *** hydroxyI group further initiated the ring opening polymerization(ROP)of L-lactide or ε-caprolactone,resulting in a library of multicomponent copolymers via grafting-from *** initiating efficiency reached to-100% with variable molecular weight(21300-58600 Da)and narrow distributions(Ð_(M)<1.25),indicating that such graft copolymers possessed controlled density and distribution of side chains as its linear *** investigation on thermal properties of the well-defined graft copolymers implied that the precise tailoring over copolymer structures at the molecule level could lead to tunable chemical/physical *** work bridged polymer from sequence to architecture,unveiled a new meth-od in creating graft copolymers with programmable structures and provided the insight into the structure/property relationship.

关键词： Sequence determination Polymers Latent Monomer Polymerization Maleimide

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Highly active cobalt-doped nickel sulfide porous nanocones for high-performance quasi-solid-state zinc-ion batteries

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Journal of Energy Chemistry 2022年第3期31卷 237-249,I0008页

作者： Xin Tong Yun Li Ning Pang Yang Zhou Dajun Wu Dayuan Xiong Shaohui Xu Lianwei Wang Paul K.Chu Key Laboratory of Polar Materials and Devices(MOE) Department of ElectronicsEast China Normal UniversityShanghai 200241China Jiangsu Laboratory of Advanced Functional Materials School of Electronic and Information EngineeringChangshu Institute of TechnologyChangshu 215500JiangsuChina School of Physics and Electronic Engineering Hanshan Normal UniversityChaozhou 521041GuangdongChina Department of Physics Department of Materials Science and Engineeringand Department of Biomedical EngineeringCity University of Hong KongKowloon 999077Hong KongChina

Flexible quasi-solid zinc-ion batteries(ZIBs)have large potential in power applications due to the low price,wearable nature,safety,and high ***,the use of transition metal sulfide cathodes in ZIBs has not been studied extensively and the underlying mechanism and theoretical basis of this type of batteries are not well ***,a highly active cobalt-doped Ni_(3)S_(2) porous nanocone framework(C12NS)is designed and demonstrated as a zinc-ion battery ***-principles calculation and experiments reveal that the cobalt dopant improves the battery properties *** assembled flexible zinc-ion battery exhibits a high specific capacity of 453.3 mAh g^(−1)at a current density of 0.4 A g^(−1)in as well as excellent cycling stability as manifested by a capacity retention ratio of 89.5%at a current density of 4 A g^(−1)after 5000 *** peak energy density of 553.9 Wh kg^(−1)is also superior to those of most recently reported NiCo-based zinc-ion *** importantly,the flexible battery can be operated under severe mechanical bending and even continues to work after physical puncturing without showing *** exciting results not only reveal a novel design of cathode materials for zinc-based batteries,but also suggest their immense commercial potential in portable and wearable electronics.

关键词： Zn-ion battery Quasi-solid electrolyte Nanocone Doping Wearable electronic

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Rational Design of Plasmonic Metal Nanostructures for Solar Energy Conversion

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CCS Chemistry 2022年第4期4卷 1153-1168页

作者： Yawen Wang Junchang Zhang Wenkai Liang He Yang Tianfu Guan Bo Zhao Yinghui Sun Lifeng Chi Lin Jiang Institute of Functional Nano&Soft Materials Laboratory(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional MaterialsSoochow UniversitySuzhou 215123 School of Physics and Electronic Engineering Changshu Institute of TechnologyChangshu 215500 College of Energy Soochow Institute for Energy and Materials Innovations and Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215006

Plasmonic metal nanostructures,possessing unique surface plasmon resonance properties,show excellent capabilities for light trapping and *** this basis,various plasmonic metal nanostructures offer extraordinary opportunities to promote the conversion efficiency of solar energy to electric energy,hydrogen energy or thermal energy,and so *** this review article,we highlight a number of recent research achievements on the rational design of plasmonic metal nanostructures so as to maximize the utilization of the entire solar *** with single metal nanoparticles,multiplex(such as multicompositions,sizes,or shapes)nanoparticle structures emphasize advantages in broadening the absorption range and improving light-utilization *** review concludes with discussions regarding challenges in this research field and proposals of prospects for future directions.

关键词： structural design metal nanostructures multiplexed assembly solar energy conversion

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Effect of Reverse Pulse Current Density on Microstructure and Properties of Supercritical Ni-Gqds Nanocomposite Coatings

SSRN

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SSRN 2023年

作者： Fang, Cong Lei, Weining Xu, Tianle Zhong, Haoyu He, Bin Kong, Linglei He, Yiliang School of Mechanical Engineering Jiangsu University of Technology Changzhou213001 China Jiangsu Key Laboratory of Advanced Material Design and Additive Manufacturing Jiangsu University of Technology Changzhou213001 China Jiangsu University China

In this study, Ni-GQDs nanocomposite coatings were prepared by double-pulse electrodeposition under supercritical CO2 with graphene quantum dots (GQDs) as the second phase additive. The effects of supercritical CO2 conditions and reverse pulse current density on microstructure, crystal orientation, grain size, GQDs quality, mechanical properties, and corrosion resistance of Ni-GQDs nanocomposite coatings were investigated. The results show that when the reverse pulse current density is 0.8A /dm2, the surface of Ni-GQDs-Ⅱ nanocomposite coating is compact and flat, GQDs is uniformly dispersed in the coating, and GQDs is closely bound to Ni grains. Compared with the coating prepared at normal temperature and pressure. The grain size of the Ni-GQDs-Ⅱ nanocomposite coating is 4.58 nm, and the grain size is reduced by 75.3%. The quality of graphene oxide in the coating was improved. The coating hardness is 867.22 HV, which is significantly increased by 53.7%. The roughness is 0.236 μm, which is significantly reduced by 37.2%. The friction coefficient and volume wear were 0.262 and 3.395×107 μm3, respectively, which were significantly reduced by 27.4% and 57.9%. After electrochemical etching, the self-etching voltage of the coating is -139 mV, and the self-etching current density is 3.19×10-7 A/cm2. The self-corrosion potential was significantly increased by 61.2%, and the self-corrosion current density was significantly decreased by 71.2%. The Rct value and Ndl value of the coating are 31594.53 Ω· cm2 and 0.862, respectively. Significantly increased by 226.2% and 67.1%, respectively. The coating has excellent mechanical properties and corrosion resistance. © 2023, The Authors. All rights reserved.

关键词： Corrosion resistance

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In Situ Self-Assembled Bismuth Oxide Fractals Enabling Highly Selective Electrosynthesis of Formate in Flow Cells at High Current Densities

SSRN

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SSRN 2023年

作者： Wang, Miao Gu, Yating Zhu, Mengfei Tie, Zuoxiu Ma, Jing Jin, Zhong State Key Laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic Chemistry MOE Key Laboratory of High Performance Polymer Materials and Technology Jiangsu Key Laboratory of Advanced Organic Materials School of Chemistry and Chemical Engineering Nanjing University Jiangsu Nanjing210023 China

In this work, we present a scalable in-situ growth strategy for self-assembling a carbon felt supported Bi2O3 fractal nanostructure (f-Bi2O3/CF), enabling superior performance towards electrocatalytic CO2-to-formate conversion with an optimal Faradaic efficiency of 95.1% at -0.9 V (vs. RHE) in flow cell. More impressively, the current density reaches an industrially relevant 235.7 mA cm-2 and remains a high FEformate of 87.7%. The enhanced catalytic activity of the f-Bi2O3/CF model is attributed to the increased adsorption energy of OCHO* intermediate by changing the surface charge distribution according to DFT calculations. Using the aforementioned method, a series of other CF supported metal oxide catalysts (i.e., CuO, In2O3, and SnO2) are easily obtained. A brief techno-economic analysis (TEA) model demonstrates the economic potential of electrocatalytic hydrogenation of CO2 into formate in flow cell. Our findings offer a promising pathway for the fabrication of stable and accessible fractal structure, applicable to a wide range of scenarios. © 2023, The Authors. All rights reserved.

关键词： Carbon dioxide

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Impact of Control Mode on Small-Signal Stability of Hybrid Cascaded UHVDC System 5

Impact of Control Mode on Small-Signal Stability of Hybrid C...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： He, Yongjie Xiang, Wang Wen, Jinyu Zhou, Jiapei Lin, Chang Zhao, Jingbo Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Co. Ltd. Beijing China Electric Power Research Institute of State Grid Jiangsu Electric Power Co. Ltd. Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The hybrid cascaded UHVDC technology is especially suitable for large-capacity, long-distance and overhead line power transmission, and is one of the important technical approaches to solve the problem of large-scale renewable energy transmission over long distances. This paper establishes the small-signal model of the hybrid cascaded UHVDC system and validates the accuracy of the small-signal model by comparing the step responses obtained from the small-signal model with those from the detailed electromagnetic transient model. Based on the developed small-signal model, the impact of two different control modes of the system, the master-slave control mode and all constant DC voltage control mode, on the small-signal stability is investigated. © 2022 IEEE.

关键词： HVDC power transmission

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Rapid and Controllable In-Situ Self-Assembly of Main-Group Metal Nanofilms for Highly Efficient Co2 Electroreduction to Liquid Fuel in Flow Cells

SSRN

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SSRN 2023年

作者： Wang, Miao Wang, Huaizhu Wang, Yaoda Liang, Junchuan Zhu, Mengfei Li, Jiarui Tie, Zuoxiu Jin, Zhong State Key Laboratory of Coordination Chemistry MOE Key Laboratory of Mesoscopic Chemistry MOE Key Laboratory of High Performance Polymer Materials and Technology Jiangsu Key Laboratory of Advanced Organic Materials School of Chemistry and Chemical Engineering Nanjing University Jiangsu Nanjing210023 China

The electrocatalytic reduction of CO2 is a promising pathway to generate renewable fuels and chemicals. However, its advancement is impeded by the absence of electrocatalysts with both high selectivity and stability. Here, we present a scalable in situ thermal evaporation technique for synthesizing series of Bi, In, and Sn nanofilms on carbon felt (CF) substrates with a high-aspect-ratio structure. The resulting main-group metal nanofilms exhibit a homogeneously distributed and highly exposed catalyst surface with ample active sites, thereby promoting mass transport, ad-/desorption of reaction intermediates. Benefited from the unique fractal morphology, the Bi nanofilms deposited on CF exhibit optimal catalytic activities for CO2 electroreduction among the designed metal nanofilms electrodes, with a highest Faradaic efficiency of 96.9% for formate production at -1.3 V vs. reversible hydrogen electrode (RHE) in H-cell. Under an industrially relevant current density of 221.4 mA cm-2 in flow cells, the Bi nanofilms retain a high Faradaic efficiency of 81.7% at -1.1 V (vs. RHE) and a good long-term stability for formate production. Furthermore, a techno-economic analysis (TEA) model shows the potential commercial viability of electrocatalytic CO2 conversion into formate using the Bi nanofilms catalyst. Our results offer a green and convenient approach for in-situ fabrication of stable and inexpensive thin-film catalysts with a fractal structure applicable to various industrial settings. © 2023, The Authors. All rights reserved.

关键词： Efficiency

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Development of an interpretable QSPR model to predict the octanol-water partition coefficient based on three artificial intelligence algorithms

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Green Chemical Engineering 2025年第2期6卷 193-199页

作者： Ao Yang Shirui Sun Lu Qi Zong Yang Kong Jaka Sunarso Weifeng Shen College of Safety Science and Engineering Chongqing University of Science and TechnologyChongqing401331China Beijing Institute of Technology Chongqing Innovation Center Chongqing401135China School of Chemistry and Chemical Engineering Chongqing UniversityChongqing400044China School of Chemistry and Chemical Engineering Yangtze Normal UniversityChongqing408100China Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology School of Petrochemical EngineeringChangzhou UniversityChangzhou213164China School of Engineering and Technology Sunway UniversityNo.5Jalan UniversitiBandar SunwaySelangor Darul Ehsan47500Malaysia Research Centre for Sustainable Technologies Faculty of EngineeringComputing and ScienceSwinburne University of TechnologyJalan Simpang TigaKuching93350SarawakMalaysia

This study aims to significantly improve existing quantitative structure-property relationship(QSPR)models for predicting the octanol-water partition coefficient(KOW).This is because accurate predictions of KOW are crucial for assessing the environmental behavior and bioaccumulation potential of *** models have reported determination coefficient(R^(2))values between 0.9451 and 0.9681,and this research seeks to exceed these *** machine learning(ML)models are explored,i.e.,feed-forward neural networks(FNN),extreme gradient boosting(XGBoost),and random forest(RF).Using a dataset of 14,610 solvents(14,580 after data cleaning)and 21 molecular descriptors derived from SMILES representations,we rigorously evaluate these models based on R^(2),mean absolute error(MAE),root mean squared error(RMSE),and mean relative error(MRE).Notably,the best model developed,the XGBoost-based QSPR,demonstrated exceptional performance,exhibiting an impressive R^(2)value of 0.9772,surpassing benchmarks set by prior research ***,shapley additive explanation(SHAP)analysis is also employed for model interpretation,and it is revealed that the top five influential input features include SMR_VSA8,SMR_VSA3,Kappa2,HeavyAtomCount,and fr_*** study not only sets a new benchmark for KOW prediction accuracy but also enhances the interpretability of QSPR models.

关键词： Octanol-water partition coefficient Environmental property QSPR Interpretable model Machine learning

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Point cloud segmentation network based on multi-scale feature fusion

Point cloud segmentation network based on multi-scale featur...

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2024 China Automation Congress, CAC 2024

作者： Deng, Hao Cheng, Peng Cheng, Shengmei Liu, Cheng Du, Shaoyi Wang, Lin State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Service School of Information Science and Technology Northwest University Xi’an China National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an China

ISBN: (纸本)9798350368604

Aiming at improving the local feature extraction for point cloud learning, we introduce a point cloud segmentation network that enhances the PointNet++ framework with a local feature transformation module and a multi-scale feature fusion module. The local feature transformation module employs operations akin to convolution to restructure the point cloud's local feature dimensions, thus boosting the network's ability to extract detailed local features. Additionally, the multi-scale feature fusion module integrates semantic features of point clouds across various scales using a layered network design, aiming to heighten segmentation precision. Experimental results indicate that the proposed network can achieve a robust point cloud segmentation accuracy, reaching an accuracy rate of 85.8%. © 2024 IEEE.

关键词： Cloud platforms

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