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SSRN 2024年

作者： Li, R. Zhang, Jian Zhou, Xiao-Jie Pang, Xiaotong Ji, X.X. Duan, Junfei Lu, Xian-Zheng Chen, Xiao-Min Li, J.H. Zhou, D.W. Hunan Provincial Key Laboratory of Intelligent Manufacturing Technology for High-performance Mechanical Equipment Changsha University of Science and Technology Changsha410114 China School of Materials Science and Engineering Changsha University of Science and Technology Changsha410114 China State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China

In this paper, the nitrogen doped (N-HPC), nitrogen and phosphorus co-doped hierarchical porous carbon (NP-HPC) are prepared by cross-linking phytic acid and poly pyrrole/aniline precursor, respectively. They are mixed with MgH2 by high-energy ball milling, and then their effects and mechanisms on the hydrogen absorption and desorption properties of MgH2 are investigated. Meanwhile, the hydrogen storage properties of MgH2 added with graphite (G) are also compared. The results show that the additions of NP-HPC, N-HPC, and G all exhibit the catalytic effect on the hydrogen absorption and desorption of MgH2. As for the hydrogen desorption, the catalytic effect is enhanced in the order of N-HPC, G and NP-HPC. Compared with pure MgH2, the hydrogen desorption temperature is reduced by 65.3°C, 79.6°C and 91.1°C, respectively. Among them, the MgH2 + NP- HPC system can release 5.17 wt% hydrogen at 300 °C within 30 min. First-principle calculations reveal that the P-doped and vacancy-containing carbon materials significantly reduce the H2 recombination barrier from the surface of MgH2 and distort the atomic structure of near-surface layer of MgH2, which in turn weakens the Mg-H bond strength. This may be the intrinsic reason for the excellent catalytic effect of NP-HPC and vacancy-containing G on the hydrogen desorption performance of MgH2. © 2024, The Authors. All rights reserved.

关键词： Magnesium compounds

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Simulation Study on the Influence of Drilling Parameters on the Temperature of Skull Drilling

Simulation Study on the Influence of Drilling Parameters on ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Jiang, Wenyu Liu, Zhenzhong Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education School of Mechanical Engineering Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9781665441285

Skull drilling is an important and difficult process in neurosurgical craniotomy, which will inevitably produce a lot of heat. Correct understanding of the heat production law of skull drilling has important guiding significance for craniotomy robot. In this study, cortical bone and cancellous bone were layered to establish models according to the 3D reconstruction data of skull. The finite element method based on ABAQUS is used to establish the skull drilling model and realize the simulation of bone tissue surgical instrument interaction state for surgical robot. The results show that when the drill rotation speed and feed speed increase, the drilling temperature will also increase, but the drill rotation speed will have a more significant effect on bone drilling temperature, and when the drill rotation speed is low (300r/min, 600r/min), the drill bit diameter has little effect on the drilling temperature, but when the drill rotation speed is higher (900r/min, 1200r/min), the larger diameter drill bit(11mm) will produce more drilling heat. © 2021 IEEE.

关键词： Finite element method

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The Influence of Microstructural Evolution on Performance Degradation in Solid Oxide Fuel Cells

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SSRN 2024年

作者： Shao, Yuqing Shen, Junjie Ren, He Zhao, Liwei Xue, Ziyu Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

The microstructure evolution effects performance degradation of solid oxide fuel cells (SOFCs) under elevated temperatures. The microstructural evolution, including elemental diffusion, phase changes, and Ni agglomeration, is studied via X-ray diffraction (XRD) and scanning electron microscopy energy dispersive spectrometer (SEM-EDS) techniques. The ohmic resistance and polarization impedance, including activation polarization impedance and concentration resistance, causing the performance degradation, are estimated using electrochemical impedance spectroscopy (EIS) and distribution of relaxation time (DRT) techniques. The voltage gradually decreases from 0.9 V, at the beginning of the load, to 0.75 V after 240 h of service. The formation of pores at the (La0.6Sr0.4Co0.2Fe0.8O3-δ) LSCF/(Gd0.1Ce0.9O2-δ) GDC interface and cracks at the (8 mol% Y2O3-stabilized ZrO2) YSZ/NiO-YSZ interface induce the increase in ohmic resistance. The increase in activation polarization resistance is attributed to the formation of the SrZrO3 phase and Gd2(Zr1-xCex)2O7, at the YSZ/GDC interface, and the redistribution and coarsening of Ni. The formation of Co- or Fe-based oxides in the LSCF layer slightly increases the concentration polarization impedance. © 2024, The Authors. All rights reserved.

关键词： Scanning electron microscopy

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Mechanism design and Motion Simulation of Mobile Robot with Compound Motion Mode

Mechanism Design and Motion Simulation of Mobile Robot with ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Shi, Yanan Yang, Yuwei Liu, Zhenzhong Zhang, Haiming Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin China

ISBN: (纸本)9781665441285

Aiming at the problem of poor trafficability and difficulty in dealing with complex environment of traditional mobile robot, we proposed a climbing and hopping hybrid mobile robot. In this paper, we took the spring four-bar linkage mechanism as the hopping mechanism and the C-shaped wheel foot mechanism as the walking mechanism. Completed the structure design of the robot. Realized the assembly and disassembly of the virtual prototype, and completed the motion simulation and analysis. The results show that the robot is stable in the aspects of structure design and its jumping height can reach 988mm, and has a great potential in reconnaissance, monitoring, survey etc. © 2021 IEEE.

关键词： Mobile robots

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Optimization of Robot Hopping Mechanism Based on Parametric Model Method

Optimization of Robot Hopping Mechanism Based on Parametric ...

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2021 IEEE International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2021

作者： Shi, Yanan Yang, Yuwei Liu, Zhenzhong Zhang, Haiming Tianjin University of Technology National Demonstration Center For Experimental Mechanical and Electrical Engineering Education School of Mechanical Engineering Tianjin Key Laboratory For Advanced Mechatronic System Design and Intelligent Control Tianjin China

ISBN: (纸本)9781665441285

In order to solve the problem of hopping mechanism design of robot, we proposed a method of optimization of transmission mechanism based on parametric model. In this paper, the optimization of energy transfer efficiency of robot jump mechanism is completed by parametric model method through the mechanism simplification, parametric modeling and parameter optimization. The results show that the method can greatly optimize the energy transfer efficiency and reduce the driving torque required by 74.6%. It provides a feasible optimization method for the design of the robot hopping structure. © 2021 IEEE.

关键词： Energy transfer

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A Study of Soil Modelling Methods Based on Line-Structured Light——Preparing for the Subsoiling Digital Twin

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SSRN 2024年

作者： Li, Xia You, Birong Wang, Xuhui Zhao, Zhipeng Qi, Tianyu Xu, Jinyou Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Centre for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

The virtual model serves as the foundation for constructing a digital twin system. In order to provide technical guidance for the construction of a digital twin system for subsoiling, this study employed the line structured light method for soil model generation. Field experiments and indoor experiments were conducted separately, using the extreme value method, grayscale centroid method, and Steger algorithm to extract the laser centrelines in the experiments. The results show that the extreme value method and grayscale centroid method have almost the same processing time when dealing with two types of images, which are 1.9ms and 18ms respectively. The Steger algorithm has a significant difference in processing time when dealing with indoor and field images, with the processing time being longer for indoor images, approximately 300ms. Regarding memory usage, there is a large difference when the extreme value method processes two sets of images. Therefore, the grayscale centroid method is the most suitable method for centreline extraction in a digital twin system for subsoiling. When performing 3D reconstruction, the camera shooting frequency is positively correlated with the reconstruction effect, while the moving speed is negatively correlated with the reconstruction effect. Of course, the reconstruction effect is also related to the performance of the binocular camera used. In addition, the processing time for each image during reconstruction is within 1ms, indicating that the method of line laser 3D reconstruction can solve the problem of soil modelling in subsoiling digital twin. © 2024, The Authors. All rights reserved.

关键词： Soils

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A Multiscale Dynamic Temporal Convolution Network For Continuous Dimensional Emotion Recognition

A Multiscale Dynamic Temporal Convolution Network For Contin...

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International Joint Conference on Neural Networks (IJCNN)

作者： Min Hu Jialu Sun Xiaohua Wang Ning An Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer Science and Information Hefei University of Technology Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China

Video-based dimensional emotion recognition, especially long sequence modeling, is a challenging task. This paper proposes a Multiscale Dynamic Temporal Convolution Network(MDTCN) for long sequence modeling of dimensional emotion recognition. Although Temporal Convolution Network(TCN) has performed well in sequence modeling, there are still some limitations that the feature scale of each layer is single and the receptive field of the upper layer is too large to capture the short-term dependence. Therefore, Dynamic Dilated Block(DDB) is constructed to better capture the temporal dependence by using dilated convolutions of different kernel size. In order to obtain both long-term and short-term temporal features, Multiscale TCN Structure is proposed. Extensive experiments are conducted on the AFFWILD2 and SEWA Dataset and the competitive result is shown compared to state-of-the-art methods.

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Probing dynamics and ion structuring of imidazolium ionic liquid confined at charged graphene surfaces using graphene colloid probe AFM

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摩擦（英文版） 2025年第6期13卷 151-161页

作者： Muqiu Wu Zhongyang Dai Fan Zhang Faiz Ullah Shah Enrico Gnecco Yijun Shi Braham Prakash Rong An School of Materials Science and Engineering/Herbert Gleiter Institute of Nanoscience Nanjing University of Science and TechnologyNanjing 210094China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai Yantai 264006China High Performance Computing Department National Supercomputing Center in ShenzhenShenzhen 518055China Department of Engineering and Design School of Engineering and InformationUniversity of SussexBrighton BN1 9RHUK Chemistry of Interfaces Luleå University of TechnologyLuleå 97187Sweden Marian Smoluchowski Institute of Physics Jagiellonian UniversityKrakow 30-348Poland Division of Machine Elements Luleå University of TechnologyLuleå 97187Sweden School of Materials Science and Engineering/Herbert Gleiter Institute of Nanoscience Nanjing University of Science and TechnologyNanjing 210094China Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai Yantai 264006China

Driven by the potential applications of ionic liquid(IL)flow for charging graphene-based surfaces in many emerging technologies,recent research efforts have focused on understanding ion dynamics and structuring at IL-graphene ***,graphene colloid probe(GrP)atomic force microscopy(AFM)was used to probe the dynamics and ion structuring of 1-butyl-3-methylimidazolium tetrafluoroborate at graphene surfaces under various bias *** particular,the AFM-measured nanofriction provides a good measure of the dynamic properties of the ILs at graphene *** with the IL at the unbiased graphene surface(0 V),the charged graphene surfaces with either negative(-1,-2 V)or positive(+1,+2 V)voltages favor a reduction in the friction coefficient by the IL.A higher magnitude of the bias voltage applied on the graphene surface with either sign(-2 or+2 V)results in a smaller friction coefficient than that at-1 and+1 *** combination with the AFM-probed contact stiffness,adhesion forces,and ion structuring force curves with an ion orientational distribution according to molecular dynamics(MD)simulations,we discovered that the unbiased graphene surface(0 V)possesses randomly structured IL ions and that the graphene colloid probe is more likely to become stuck,resulting in more energy dissipation to contribute to a larger friction *** of the graphene surface under either negative or positive voltages resulted in uniformly arranged ions,which produced a more ordered ion structure and,thus,a smoother sliding plane to reduce the friction *** impedance spectroscopy(EIS)for the IL with graphene as an electrode demonstrated a greater ionic conductivity in the IL paired with the biased graphene than in the unbiased one,implying faster ion movement at the charged graphene,which is beneficial for reducing the friction coefficient.

关键词： nanofriction graphene charge ionic liquid(IL) IL arrangement simulation

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Finite-Time Synchronization of Flux-Controlled Complex-Valued Memristive Neural Networks

Finite-Time Synchronization of Flux-Controlled Complex-Value...

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Neuromorphic computing (ICNC), International Conference on

作者： Yonghuan Wang Leimin Wang Genping Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Wuhan Second Ship Design and Research Institute Wuhan China

In this paper, by using the flux-controlled memristor model, the finite-time synchronization problem of delayed complex-valued memristive neural networks (MCNNs) is studied. Firstly, according to the proposed memristor model, we model the MCNNs as continuous systems on voltage-flux-time $(\wp, \varpi, t)$ domain. Then, we design a class of approaches to realize state synchronization between the drive and response systems, and the corresponding synchronization conditions are achieved. Finally, the effectiveness of results is illustrated with the simulations.

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A Novel Ins/Usbl/Dvl Integrated Navigation Scheme Against Complex Underwater Environment

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SSRN 2023年

作者： Qin, Hongmao Wang, Xi Wang, Guangcai Hu, Manjiang Bian, Yougang Qin, Xiaohui Ding, Rongjun State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China Wuxi Intelligent Control Research Institute of Hunan University Wuxi214115 China

In view of challenges of complex underwater environments with a high occurrence of sensor outliers, traditional Kalman-filter-based localization methods are difficult to achieve precise positioning. To address this issue, a factor graph optimization (FGO)-based tightly-coupled INS/USBL/DVL scheme and core fusion algorithm are proposed. The FGO method is used to construct a tightly-coupled INS/USBL/DVL factor graph model, and a weight function is added to adjust the weights of each factor, thereby improving the utilization of underwater sensor information and enhancing the accuracy and reliability of underwater navigation. The feasibility of the proposed scheme is verified through simulations and field test. The results show that the proposed method outperforms KF-LC, KF-TC, and FGO-LC methods, with horizontal position accuracy improvements of 29.2%, 6.6%, and 13.2%, respectively. Moreover, the proposed method exhibits smooth navigation error performance in the presence of abnormal sensor information. © 2023, The Authors. All rights reserved.

关键词： Navigation

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