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Adaptive Dead Zone Compensation Control Method for Electro-Hydrostatic Actuators Under Low-Speed Conditions

Chinese Journal of Mechanical Engineering 2024年第6期37卷 199-211页

作者： Haoyi Jiang Zhenfei Ling Fengqi Zhou Maowen Sun Hao Liu Lilin Xu Yeming Yao Xiaoping Ouyang Huayong Yang State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing Engineering Institute of Aircraft SystemNanjing 210000China

This study proposes an accurate dead zone compensation control method for electro-hydrostatic actuators(EHAs)under low-speed ***,the nonlinear dead zone characteristics under low-speed conditions are summarized based on numerous EHA *** adaptive compensation function(ACF)is then constructed for the dead ***,this study proposes an adaptive dead zone compensation control method for EHAs by integrating the ACF with a virtual decomposition controller(VDC)based on the established EHA *** stability of the proposed control method is also ***,the proposed control method is verified using an EHA *** test results show that the dead zone trajectory tracking errors of EHAs are significantly reduced when combined with the ***,since most EHAs are controlled by adjusting the motor speed,the method presented in this study is simpler and easier to use than methods that employ flow compensation.

关键词： Electro-hydrostatic actuator Dead zone Compensation Control Low-speed

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MultiPINN: multi-head enriched physics-informed neural networks for differential equations solving

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Neural Computing and Applications 2024年第19期36卷 11371-11395页

作者： Li, Kangjie Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Zhejiang Hangzhou China

Recently, the physics-informed neural network (PINN) has attracted much attention in solving partial differential equations (PDEs). The success is due to the strong generalization ability of the neural network (NN), which is supported by the universal approximation theorem, and its mesh-free implementation. In this paper, we propose a multi-head NN enriched PINN (MultiPINN) for solving differential equations. The trial function is built based on the radial basis function (RBF)-interpolation, which makes NN training parameters partially interpre. The loss function is constructed by embedding the physics information of differential equations and boundary conditions. Then the parameters in MultiPINN are trained using the ADAM optimizer. A significant feature of MultiPINN is that it combines the traditional RBF interpolation method with machine learning (ML) techniques. The ML technique is employed to learn the basis feature enrichment that provides global information. The multi-head mechanism is used so that each node has multiple bases, which can improve the accuracy of the MultiPINN solution. Two ordinary differential equations and three partial differential equations, i.e. the convection equation, the Burgers equation, and the Poisson equation, are used in the numerical experiments. The experimental outcomes demonstrate that MultiPINN produces solutions consistent with both analytical solutions and solutions obtained through traditional numerical methods. Additionally, MultiPINN shows robustness and adaptability over the other NN-based methods in the implementations. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Poisson equation

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MXene-based materials for efficient applications in perovskite solar cells:A review

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材料科学技术（英文版） 2025年第12期215卷 214-232页

作者： Yue Li Yuhua Wang Zichao Xu Bo Peng Ngoc Quang Tran Kuldeep K Saxena S. Vadivel Xinghui Liu Hubei Province Key Laboratory of Systems Science in Metallurgical Process Wuhan University of Science and TechnologyWuhan 430081China Center for Innovative Materials & Architectures Vietnam National University Ho Chi Minh700000Vietnam Division of Research and Development Lovely Professional UniversityPhagwaraIndia Department of Physics Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)ThandalamChennaiTamil Nadu 602105India Science and Technology on Aerospace Chemical Power Laboratory Laboratory of Emergency Safety and Rescue TechnologyHubei Institute of Aerospace ChemotechnologyXiangyang 441003China

Perovskite solar cells(PSCs)exhibit significant development potential in the last decade due to their high efficiency and low manufacturing cost,with power conversion efficiencies(PCE)as high as 26.1％.How-ever,several problems still limit PSCs'performance and industrialization,including layer defects,energy level mismatch,and chemical *** are a promising class of two-dimensional(2D)tran-sition metal carbides and nitrides with excellent hydrophilicity,the tunable figure of merit,desirable electrical conductivity,abundant surface chemical end groups,and low-temperature solution *** properties make MXenes easy to combine with other materials and enrich their composites'physical and chemical properties,making them more useful in *** review systematically summa-rizes the relationship and development of PSCs and *** strategies for combining MXenes with various layer components in PSCs were ***,we discussed the advantages of MXenes as the hole-transporting layer,electron-transporting layer,perovskite active layer,and ***,we look forward to future research on MXene-based materials in the field of PSC and the next step of commercialization.

关键词： Perovskite solar cells MXenes High-efficiency Two-dimensional materials

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Simulation of nanofluid natural convection based on single-particle hydrodynamics in energy-conserving dissipative particle dynamics(eDPD)

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Applied Mathematics and Mechanics(English Edition) 2024年第8期45卷 1429-1446页

作者： Wei LU Shuo CHEN Zhiyuan YU Jiayi ZHAO School of Aerospace Engineering and Applied Mechanics Tongji UniversityShanghai 200092China Shanghai Key Laboratory of Vehicle Aerodynamics and Vehicle Thermal Management Systems Tongji UniversityShanghai 201804China School of Energy and Power Engineering University of Shanghai for Science and TechnologyShanghai 200093China

In the present study,the nanofliud natural convection is investigated by the energy-conserving dissipative particle dynamics(eDPD)method,where the nanoparticles are considered at the single-particle *** thermal expansion coefficientβand the viscosityμof the simulated system containing nanoparticles are calculated and found to be in close alignment with the previous simulation *** single-particle hydrodynamics in e DPD enables simulations of nanofluid natural convection with higher Rayleigh numbers and greater nanoparticle volume ***,this approach is utilized to simulate the nanoparticle distribution during the enhanced heat transfer process in the nanofluid natural *** localized aggregation of nanoparticles enhances the heat transfer performance of the nanofluid under specific Rayleigh numbers and nanoparticles volume fractions.

关键词： single-particle hydrodynamics energy-conserving dissipative particle dynamics(eDPD) nanoparticle nanofluid heat transfer

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Multi-Physics Coupled Acoustic-Mechanics Analysis and Synergetic Optimization for a Twin-Fluid Atomization Nozzle

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Chinese Journal of Mechanical Engineering 2024年第3期37卷 204-223页

作者： Wenying Li Yanying Li Yingjie Lu Jinhuan Xu Bo Chen Li Zhang Yanbiao Li College of Mechanical Engineering Zhejiang University of TechnologyHangzhou 310023China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310027China School of Materials Science and Engineering Northwestern Polytechnical UniversityXian 710072China Guizhou Anda Aviation Forging Co. Ltd.Anshun 561005China

Fine particulate matter produced during the rapid industrialization over the past decades can cause significant harm to human ***-fluid atomization technology is an effective means of controlling fine particulate matter *** this paper,the influences of the main parameters on the droplet size,effective atomization range and sound pressure level(SPL)of a twin-fluid nozzle(TFN)are investigated,and in order to improve the atomization performance,a multi-objective synergetic optimization algorithm is presented.A multi-physics coupled acousticmechanics model based on the discrete phase model(DPM),large eddy simulation(LES)model,and Ffowcs Williams-Hawkings(FW-H)model is established,and the numerical simulation results of the multi-physics coupled acoustic-mechanics method are verified via experimental *** on the analysis of the multi-physics coupled acoustic-mechanics numerical simulation results,the effects of the water flow on the characteristics of the atomization flow distribution were obtained.A multi-physics coupled acoustic-mechanics numerical simulation result was employed to establish an orthogonal test database,and a multi-objective synergetic optimization algorithm was adopted to optimize the key parameters of the *** optimal parameters are as follows:A gas flow of 0.94 m^(3)/h,water flow of 0.0237 m^(3)/h,orifice diameter of the self-excited vibrating cavity(SVC)of 1.19 mm,SVC orifice depth of 0.53 mm,distance between SVC and the outlet of nozzle of 5.11 mm,and a nozzle outlet diameter of 3.15 *** droplet particle size in the atomization flow field was significantly reduced,the spray distance improved by 71.56%,and the SPL data at each corresponding measurement point decreased by an average of 38.96%.The conclusions of this study offer a references for future TFN research.

关键词： Twin-fluid nozzle BP neural network Multi-objective optimization Multi-physics coupled Acousticmechanics analysis Genetic algorithm

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Deformation Evolution and Perceptual Prediction for Additive Manufacturing of Lightweight Composite Driven by Hybrid Digital Twins

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Chinese Journal of Mechanical Engineering 2024年第5期37卷 94-112页

作者： Jinghua Xu Linxuan Wang Mingyu Gao Chen Jia Qianyong Chen Kang Wang Shuyou Zhang Jianrong Tan Shaomei Fei State Key Lab of Fluid Power and Mechatronic Systems Zhejiang UniversityHangzhou 310058China Zhejiang Key Lab of Advanced Manufacturing Technology School of Mechanical EngineeringZhejiang UniversityHangzhou 310058China State Key Laboratory of Materials Processing and Die and Mould Technology Huazhong University of Science and TechnologyWuhan 430074China Institute of Design Engineering Zhejiang UniversityHangzhou 310058China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore City 639798Singapore

This paper proposes a deformation evolution and perceptual prediction methodology for additive manufacturing of lightweight composite driven by hybrid digital twins(HDT).In order to improve manufacturing quality of irregular lightweight composite through boosting conceptual design in aeronautic and aerospace engineering,the HDT meaning hybridization of physical and digital domains,including deformation and energy efficiency can be built,where the essential parameters can be perceptually predicted in advance,by virtue of the fusion of physical sensors and digital *** long short term memory(LSTM)can be employed to void vanishing gradient problem and improve predicting precision via Recurrent Neural Networks,thereby laying a foundation for the *** diverse manufacturing requirements of different regions are integrated into the parameters designing phase by attaching region weights confirmed via empiricism and in-service *** effects of slicing strategy and external support structures on manufacturing quality are considered from the perspective of improving dimensional *** manufacturing efficiency and comprehensive costs are accounted as consideration factors,which are perceptually predicted via *** designed manufacturing parameters through HDT were virtually examined by evaluating the deformation and equivalent stress distributions of fabricated lightweight component with composite material through AM process *** physical experiments were conducted to verify the HDT-based pre-designing and optimization method of manufacturing parameters via fused deposition modeling(FDM).The energy consumption of actual manufacturing process was measured via digital power meter and applied to evaluate accuracy of perceptual prediction *** dimensional accuracy and distortion distribution of the manufactured lightweight prototype made with composite material were measured through the coordinate measuring machine(CMM)and 3D optica

关键词： Deformation evolution Perceptual prediction Lightweight composite Hybrid digital twins(HDT) Long short term memory(LSTM)

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High-performance carbon nanotube/polyaniline artificial yarn muscles working in biocompatible environments

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Nano Research 2023年第3期16卷 4143-4151页

作者： Jian Qiao Yulong Wu Chengfeng Zhu Lizhong Dong Kunjie Wu Yulian Wang Wei Yang Min Li Jiangtao Di Qingwen Li Key Laboratory of Multifunctional Nanomaterials and Smart Systems Advanced Materials DivisionSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co.Ltd.Beijing 102209China School of Materials Science and Engineering Key Laboratory of Aerospace Materials and PerformanceMinistry of EducationBeihang UniversityBeijing 100191China

Implantable artificial muscles are of great importance for muscle function restoration and physical augmentation but are still ***,we report an artificial muscle by soaking-polymerization of polyaniline(PANI)inside a carbon nanotube(CNT)*** in aqueous biocompatible solutions,the yarn muscle generates a large contractile stroke of 17%and high isometric stress of 8 MPa at voltages lower than 2 *** excellent performance can be ascribed to the large actuation volume that is enabled by the fast electrochemical redox of PANI confined in a coiled yarn *** actuation performance outperforms that of previously reported aqueous artificial yarn ***,the yarn muscle can work well and maintain excellent actuating performance in other biocompatible solutions such as normal saline and Na2SO4 aqueous solution,which makes the CNT/PANI yarn muscles suitable for implantable bionic ***,a biomimetic arm was fabricated to demonstrate the applications of the CNT/PANI yarn artificial muscle in implantable muscle,underwater robots,and soft exoskeletons.

关键词： carbon nanotube polyaniline biocompatible implantable artificial muscle

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Laser additive manufacturing of titanium alloys:process,materials and post-processing

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Rare Metals 2024年第12期43卷 6288-6328页

作者： Jin-Long Su Fu-Lin Jiang Jie Teng Le-Qun Chen Guillermo Requena Ming Yan Lai-Chang Zhang Y.Morris Wang Ilya V.Okulov Hong-Mei Zhu Guo-Wei Bo You-Xiang Chew Chao-Lin Tan Singapore Institute of Manufacturing Technology(SIMTech) Agency for ScienceTechnology and Research(A*STAR)Singapore999002Singapore College of Materials Science and Engineering Hunan UniversityChangsha410082China German Aerospace Center(DLR) Institute of Materials Research51147CologneGermany Metallic Structures and Materials Systems for Aerospace Engineering RWTH Aachen University52062AachenGermany Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen518055China Centre for Advanced Materials and Manufacturing Edith Cowan UniversityJoondalupWA6027Australia Department of Materials Science and Engineering University of CaliforniaLos AngelesCA900095USA Leibniz Institute for Materials Engineering-IWT 28359BremenGermany Faculty of Production Engineering University of Bremen28359BremenGermany Key Laboratory of Hunan Province of Equipment Safety Service Technology Under Extreme Environment University of South ChinaHengyang421001China Key Laboratory of Efficient and Clean Energy Utilization College of Energy and Power EngineeringChangsha University of Science and TechnologyChangsha410114China

Laser additive manufacturing(LAM)of titanium(Ti)alloys has emerged as a transformative technology with vast potential across multiple *** recap the state of the art,Ti alloys processed by two essential LAM techniques(i.e.,laser powder bed fusion and laser-directed energy deposition)will be reviewed,covering the aspects of processes,materials and *** impacts of process parameters and strategies for optimizing parameters will be *** types of Ti alloys processed by LAM,includingα-Ti,(α+β)-Ti,andβ-Ti alloys,will be overviewed in terms of micro structures and benchmarking ***,the post-processing methods for improving the performance of L AM-processed Ti alloys,including conventional and novel heat treatment,hot isostatic pressing,and surface processing(e.g.,ultrasonic and laser shot peening),will be systematically reviewed and *** review summarizes the process windows,properties,and performance envelopes and benchmarks the research achievements in LAM of Ti *** outlooks of further trends in LAM of Ti alloys are also highlighted at the end of the *** comprehensive review could serve as a valuable resource for researchers and practitioners,promoting further advancements in LAM-built Ti alloys and their applications.

关键词： Additive manufacturing Titanium alloy Process parameter Post-processing Microstructure and property Fatigue

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Supermaneuverable Flipping Control and Planning Based on Multi-Rotor Mode of Tilt-Rotor UAVs

Supermaneuverable Flipping Control and Planning Based on Mul...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Wang, Hongpeng Zhang, Qinghao Fei, Yue Deng, Kun Liang, Jun Sun, Chuanyu Xu, Li Civil Aviation University of China The Key Laboratory of Civil Aviation Smart Airport Theory and System China College of Artificial Intelligence Nankai University Tianjin300071 China National University of Defense Technology Laboratory of Science and Technology on Integrated Logistics Support Changsha410073 China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute Nankai University Shenzhen518083 China China Nuclear Power Technology Research Institute Co. Ltd Shenzhen518000 China

ISBN: (纸本)9781665481090

Maneuverability is a critical factor for UAV s to survive in high-intensity combat scenarios. Traditional UAV s typically operate in a stable motion state to ensure flight safety. However, in highly contested environments, special missions require high mobility while maintaining safety. Tilt-rotor UAV s, which combine the characteristics of fixed-wing and multi-rotor UAVs, can perform extreme maneuvers, such as high angles of attack and post-stall maneuvers, to rapidly change posture and complete tasks like positioning and defense. Therefore, integrating and optimizing safety and maneuverability metrics is necessary for enabling UAV s to achieve extreme maneuverability. In this paper, extreme maneuver planning and control for tilt-rotor UAV s are realized through a method based on third-order Bezier curve planning of body angular velocity. Experimental results demonstrate tilt-rotor UAVs can perform extreme super-maneuverable flips while maintaining overall process control. © 2024 IEEE.

关键词： Maneuverability

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交错扁球颗粒链在方形管道中的动态自组装行为

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Acta Mechanica Sinica 2023年第8期39卷 54-66页

作者：李洋夏振华王连平 State Key Laboratory of Fluid Power and Mechatronic Systems and Department of Engineering Mechanics Zhejiang University Hangzhou 310027 China Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen 518055 China

本文采用多松弛格子Boltzmann模型数值研究了三维方管中交错排列的扁球颗粒的动态自组装行为,着重考虑了雷诺数(Re)、平均长度分数()和颗粒纵横比(AR)对整个迁移过程、分布模态和平均轴向颗粒间距(d_(i)/D)_(umi)的影响.这里颗粒AR是通... 详细信息

本文采用多松弛格子Boltzmann模型数值研究了三维方管中交错排列的扁球颗粒的动态自组装行为,着重考虑了雷诺数(Re)、平均长度分数()和颗粒纵横比(AR)对整个迁移过程、分布模态和平均轴向颗粒间距(d_(i)/D)_(umi)的影响.这里颗粒AR是通过改变扁球颗粒的极轴半径来调节,相应的赤道半径保持不变.交错扁球颗粒链的整个形成过程包括向平衡位置的惯性迁移和在流向方向上的动态自组装行为.目前结果表明分布模态和交错扁球颗粒链的(d_(i)/D)_(umi)明显依赖于(L_(f))和Re.在当前研究的参数范围内,在中等(L_(f))下高Re或高(L_(f))时,颗粒链呈现连续模态.此时,所有轴向颗粒间距达到相同的值.随着

关键词：格子Boltzmann模型颗粒链纵横比交错排列平衡位置颗粒间距参数范围迁移过程

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