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Molecular dynamics simulations of microstructure and dislocation evolution of single-crystal Ni-based superalloys under femtosecond laser loading

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Progress in Natural Science:Materials International 2024年第5期34卷 942-954页

作者： Peng Shen Xuesong Mei Tao Sun Xueshi Zhuo Xiaomao Sun Wenjun Wang Jianlei Cui Zhengjie Fan School of Mechanical Engineering Xi'an Jiaotong University State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots Xi'an Jiaotong University

In this paper, molecular dynamics simulations are employed to investigate the temperature, stress distribution, microstructure and evolution of dislocations in singlecrystal Ni-based superalloys during femtosecond laser drilling of micro-holes. The results indicate that the temperature and stress variations in the model system increase with the increment of laser energy density. The pulse width has a relatively low effect on temperature and stress variations. At the same time, an increase in dislocations is primarily related to energy density and stress distribution. The number of dislocations increases with the energy density, with the 1/6<112> dislocation showing the highest increase ratio. The densest concentration of dislocations occurs at the hole walls. Dislocations and stacking faults gradually penetrate the precipitate phase under the influence of temperature and reach a stable state as the relaxation time increases. The above research findings provide important theoretical guidance for understanding the microstructure evolution and changes in the mechanical properties of single-crystal Ni-based superalloys during femtosecond laser processing of micro-holes.

关键词： Molecular dynamics

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6D pose annotation and pose estimation method for weak-corner objects under low-light conditions

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Science China(Technological Sciences) 2023年第3期66卷 630-640页

作者： JIANG ZhiHong CHEN JinHong JING YaMan HUANG Xiao LI Hui School of Mechatronic Engineering Beijing Institute of TechnologyBeijing 100081China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing 100081China Key Laboratory of Biomimetic Robots and Systems Ministry of EducationBeijing 100081China

In unstructured environments such as disaster sites and mine tunnels,it is a challenge for robots to estimate the poses of objects under complex lighting backgrounds,which limit their *** to the shadows produced by a point light source,the brightness of the operation scene is seriously unbalanced,and it is difficult to accurately extract the features of *** is especially difficult to accurately label the poses of objects with weak corners and *** study proposes an automatic pose annotation method for such objects,which combine 3D-2D matching projection and rendering technology to improve the efficiency of dataset annotation.A 6D object pose estimation method under low-light conditions(LP_TGC)is then proposed,including(1)a light preprocessing neural network model based on a low-light preprocessing module(LPM)to balance the brightness of a picture and improve its quality;and(2)a 6D pose estimation model(TGC)based on the keypoint *** typical datasets are constructed to verify our method,the experimental results validated and demonstrated the effectiveness of the proposed LP_TGC *** estimation model based on the preprocessed image can accurately estimate the pose of the object in the mentioned unstructured environments,and it can improve the accuracy by an average of~3%based on the ADD metric.

关键词： 6D object pose estimation 6D pose annotation low-light conditions

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A Novel Battery Balancing Topology Coupled with Battery Reconfiguration

A Novel Battery Balancing Topology Coupled with Battery Reco...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Liu, Zhaohuan Xu, Jun Zhao, Zixiang Guo, Zhechen Xi'an Jiaotong University Xi'an710049 China Xi An Jiaotong University Shaanxi Key Laboratory Of Intelligent Robots School Of Future Technology Xi'an710049 China Key Laboratory Of Intelligent Robots Xi'an710049 China

ISBN: (纸本)9798331529277

The inconsistency between series-connected batteries is a key factor affecting the high performance and lifespan of lithium-ion battery packs. Therefore, a battery balancing system is needed to achieve effective energy balance. Traditional battery balancing is mainly divided into three methods: P2C (Pack to Cell), C2P (Cell to Pack), and C2C (Cell to Cell). The C2C structure is complex and hard to control, while the other two have the issue of repeated balancing. To address this issue, this paper proposes a battery balancing system coupled with battery reconfiguration based on flyback transformation. In order to enhance the controllability of the battery balancing system, the topology of the balancing system adopts the C2P/P2C method, and the balancing direction can be switched according to the current situation during the balancing process. To avoid the problem of repeated balancing, each battery is connected in parallel with a bypass circuit based on battery reconfiguration. Through a series of simulation, it can be concluded that this battery balancing system has good robustness, solves the problem of repeated balancing, and the balancing efficiency has improved. © 2024 IEEE.

关键词： battery balancing system battery reconfiguration Lithium-ion battery repeated balancing

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Femtosecond laser fabrication of 3D vertically aligned micro-pore network on thick-film Li_(4)Ti_(5)O_(12)electrode for high-performance lithium storage

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Journal of Energy Chemistry 2024年第8期95卷 250-262,I0006页

作者： Quansheng Li Xiaofei Sun Xuesong Mei Lingzhi Wang Minxing Yang Jianlei Cui Wenjun Wang State Key Laboratory for Manufacturing System Engineering Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina Shaanxi Key Laboratory of Intelligent Robots Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina School of Mechanical Engineering Xi'an Jiaotong UniversityXi'an 710049ShaanxiChina

The development of energy storage devices with high energy density relies heavily on thick film electrodes,but it is challenging due to the limited ion transport kinetics inherent in thick ***,we report on the preparation of a directional vertical array of micro-porous transport networks on LTO electrodes using a femtosecond laser processing strategy,enabling directional ion rapid transport and achieving good electrochemical performance in thick film *** three-dimensional(3D)vertically aligned micro-pore networks are innovatively designed,and the structure,kinetics characteristics,and electrochemical performance of the prepared ion transport channels are analyzed and discussed by multiple characterization and testing ***,the rational mechanisms of electrode performance improvement are studied experimentally and simulated from two aspects of structural mechanics and transmission *** ion diffusion coefficient,rate performance at 60 C,and electrode interface area of the laser-optimized 60-15%micro-porous transport network electrodes increase by 25.2 times,2.2 times,and 2.15 times,respectively than those of untreated ***,the preparation of 3D micro-porous transport networks by femtosecond laser on ultra-thick electrodes is a feasible way to develop high-energy *** addition,the unique micro-porous transport network structure can be widely extended to design and explore other high-performance energy materials.

关键词： Femtosecond laser Micro-porous transport networks Laser processing Thick film electrodes Ion transport kinetics

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Neural-based prescribed-time consensus control for multiagent systems via dynamic memory event-triggered mechanism

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Science China(Technological Sciences) 2025年第3期68卷 217-227页

作者： Xiaohong ZHENG Hui MA Qi ZHOU Hongyi LI School of Automation Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Controland Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative ControlGuangdong University of TechnologyGuangzhou510006China School of Mathematics and Statistics Guangdong University of TechnologyGuangzhou510006China College of Electronic and Information Engineering and the Chongqing Key Laboratory of Generic Technology and System of Service Robots Southwest UniversityChongqing400715China

This work investigates the implementation of distributed prescribed-time neural network(NN)control for nonlinear multiagent systems(MASs)using a dynamic memory event-triggered mechanism(DMETM).First,it introduces a composite learning technique in NN *** method leverages the prediction error within the NN update law to enhance the accuracy of the unknown nonlinearity ***,by introducing a time-varying transformation,the study establishes a distributed prescribed-time control *** notable feature of this algorithm is its ability to predetermine the convergence time independently of initial conditions or control ***,the DMETM is established to reduce the actuation frequency of the *** the conventional memoryless dynamic event-triggered mechanism,the DMETM incorporates a memory term to further increase triggering *** a distributed estimator for the leader,the DMETM-based NN prescribed-time controller is designed in a fully distributed manner,which guarantees that all signals in the closed-loop system remain bounded within the prescribed ***,simulation results are presented to validate the effectiveness of the proposed algorithm.

关键词： consensus control composite learning control dynamic memory event-triggered control prescribed-time control multiagent systems(MASs)

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Integrated Cross-Scale Manipulation and Modulable Encapsulation of Cell-Laden Hydrogel for Constructing Tissue-Mimicking Microstructures

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Research 2025年第1期2024卷 704-717页

作者： Yanfeng Zhao Xinyi Dong Yang Li Juan Cui Qing Shi Hen-Wei Huang Qiang Huang Huaping Wang Intelligent Robotics Institute School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China Peking University First Hospital Xicheng DistrictBeijing 100034China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationNorth University of ChinaTaiyuan 030051China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China Laboratory for Translational Engineering Harvard Medical SchoolCambridgeMA 02139USA Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Ministry of EducationBeijing 100081China

Engineered microstructures that mimic in vivo tissues have demonstrated great potential for applications in regenerative medicine,drug screening,and cell behavior ***,current methods for engineering microstructures that mimic the multi-extracellular matrix and multicellular features of natural tissues to realize tissue-mimicking microstructures in vitro remain ***,we propose a versatile method for constructing tissue-mimicking heterogeneous microstructures by orderly integration of macroscopic hydrogel exchange,microscopic cell manipulation,and encapsulation ***,various cell-laden hydrogel droplets are manipulated at the millimeter scale using electrowetting on dielectric to achieve efficient hydrogel ***,the cells are manipulated at the micrometer scale using dielectrophoresis to adjust their density and arrangement within the hydrogel ***,the photopolymerization of these hydrogel droplets is triggered in designated regions by dynamically modulating the shape and position of the excitation ultraviolet ***,heterogeneous microstructures with different extracellular matrix geometries and components were constructed,including specific cell densities and *** resulting heterogeneous microstructure supported long-term culture of hepatocytes and fibroblasts with high cell viability(over 90%).Moreover,the density and distribution of the 2 cell types had significant effects on the cell proliferation and urea *** propose that our method can lead to the construction of additional biomimetic heterogeneous microstructures with unprecedented potential for use in future tissue engineering applications.

关键词： cell behavior explorationhowevercurrent tissue mimicking microstructures cell laden hydrogel electrowetting dielectric regenerative medicinedrug screeningand heterogeneous microstructures engineered microstructures orderly integration

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A method for estimating the state-of-charge of LFP pouch batteries based on force-electrical coupled signals

A method for estimating the state-of-charge of LFP pouch bat...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Jia, Zhenyu Xu, Jun Xie, Yanmin Jin, Chengwei Xi'an Jiaotong University State Key Laboratory For Manufacturing Systems Engineering Shaanxi Key Laboratory Of Intelligent Robots School Of Mechanical Engineering Xi'an China

ISBN: (纸本)9798331529277

Estimating the state-of-charge (SOC) of LiFePO4 (LFP) batteries is challenging due to their long open-circuit-voltage (OCV) plateau regions. In this paper, a SOC estimation method based on force-electrical coupled signals in the framework of filtering algorithm is designed by combining the first-order equivalent mechanical model (EMM) and the first-order RC equivalent circuit model (ECM). Combining the respective advantages of LFP battery force curve characteristics and OCV curve characteristics to achieve globally optimal SOC estimation with multi-sensor fusion. First, an innovative EMM is proposed to simulate the force variation of the battery with SOC change, and a particle swarm optimization (PSO) algorithm is used to identify the model parameters. Second, the ECM and EMM adopt a tandem structure to estimate the SOC using extended Kalman filtering (EKF), where a noise covariance adaptive updating step is introduced to dynamically adjust the estimation weights of the two models in order to address the problem that the non-monotonicity of the force-SOC curves may lead to erroneous convergence of the SOC. Finally, it is demonstrated that the root-mean-square error of the SOC estimation of this method is within 2%, which improves the accuracy by a factor of 2-3 compared to the traditional voltage feedback method. © 2024 IEEE.

关键词： State of charge

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Detachment Behavior of Gecko Toe in Functional Strategies for Bionic Toe

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Journal of Bionic Engineering 2024年第2期21卷 707-717页

作者： Qingfei Han Wei Wang Huan Shen Xincheng Feng Haoran Zhang Qian Li Yi Sun Huapeng Wu Aihong Ji Lab of Locomotion Bioinspiration and Intelligent Robots College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing210016China Laboratory of Intelligent Machines School of Energy SystemsLappeenranta-Lahti University of Technology53850LappeenrantaFinland State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China

Geckos can efficiently navigate complex terrains due to their multi-level adhesive system that is present on their *** setae are responsible for the gecko’s extraordinary adhesion and have garnered wide attention from the scientific *** majority of the reported works in the literature that have dealt with the peeling models mainly focus on the gecko hierarchical adhesive system,with limited attention given to investigating the influence of gecko toe structure on the *** these lines,to gain a deeper understanding of the rapid and effortless detachment abilities of gecko toes,the peeling behavior of gecko toes on vertical surfaces was primarily investigated in this *** specifically,the detachment time of a single toe on a smooth acrylic plate was measured to be 0.41±0.21 ***,it was observed that the toe assumed a"U"-shaped structure upon complete ***,Finite Element Analysis(FEA)models for three different types of gecko toes were developed to simulate both the displacement-peel and the moment-peel *** the segmentation of the adhesive layer led to a gradual decrease in the resultant force,as well as the normal and tangential ***,a gecko-inspired toe model was constructed and powered by Shape Memory Alloy(SMA).A systematic comparison between the vertical drag separation and the outward flip separation was also *** our analysis,it was clearly demonstrated that outward peel separation significantly necessitated the reduction of the peeling force,thus confirming the advantageous nature of the outward motion in gecko toe *** data not only contribute to a deeper understanding of the gecko detachment behavior but also offer valuable insights for the advancement of the wall-climbing robot feet.

关键词： Gecko toes Detachment behavior Finite element analysis Gecko-inspired toe

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Notch Flexure as Kirigami Cut for Tunable Mechanical Stretchability towards Metamaterial Application

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International Journal of Smart and Nano Materials 2022年第2期13卷 203-217页

作者： Yanqi Yin Yang Yu Bo Li Guimin Chen State Key Laboratory of Manufacturing System Engineering Shaanxi Key Laboratory of Intelligent RobotsSchool of Mechanical EngineeringXi’an Jiaotong UniversityXi’anShaanxiChina

Kirigami is an art of paper cutting,which can be used in mechanical metamaterials,actuators,and energy absorption based on its deployable and load-deflection *** cuts with zero width produce undesirable plastic deformation or even tear fracture due to stress concentration in *** study proposes to enlarge the cut width into a notch flexure,which is applied to an orthogonality-cutted kirigami sheet,which buckles out of plane into a 3D configuration patterns under uniaxial *** use of compliant beam as the notch makes the stress distribution around the cuts more uniform in both elastic and elastoplastic *** experimental and numerical results show that by tuning the geometric parameters of cuts and material properties of the sheets,the trigger condition of 3D patterns can be *** capability of tunable phononic wave propagation in this kirigami-inspired metamaterial is *** design methodology offers a theoretical guide for kirigami-based structures.

关键词： Kirigami design compliant mechanism flexural hinge mechanical metamaterials buckling instability

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Genetic-Algorithm-Based Control Parameter Optimization of PMSLM Servo System 18

Genetic-Algorithm-Based Control Parameter Optimization of PM...

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18th IEEE Conference on Industrial Electronics and Applications, ICIEA 2023

作者： Lin, Zhi-Xiang Huang, Su-Dan Cao, Guang-Zhong Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen China

ISBN: (纸本)9798350312201

Based on the conventional field-oriented control (FOC) framework of permanent magnet synchronous linear motor (PMSLM), a hybrid strategy improved genetic algorithm (HGA) is proposed. The aim is to achieve multi-objective optimization of PI controller parameter. Firstly, Tent chaotic map is introduced ensure the diversity of initial population, and expand the search range. Secondly, the adaptive crossover and mutation probability is used, probability threshold adjust dynamically in the search process, so that can avoid the algorithm falling into local optimum and enrich the search mechanism. Thirdly, opposition-based learning of unstable parameters is introduced to deal with the unstable individuals of the system, optimization performance and convergence speed are improved. Finally, the fitness function is designed to make the system speed error, position error and speed fluctuation achieve better indicators. The simulation results show that compared with the three classical optimization algorithms, the performance of the proposed algorithm is improved in terms of convergence speed and convergence accuracy, the optimized parameters are effective and practical in PMSLM servo system. © 2023 IEEE.

关键词： Genetic algorithms

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