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Effect of Zn and Y Additions on Grain Boundary Movement of Mg Binary Alloys During Static Recrystallization

Acta Metallurgica Sinica(English Letters) 2023年第2期36卷 179-191页

作者： Zhen Jiang Dongfeng Shi Jin Zhang Tianming Li Liwei Lu Light Alloy Research Institute Central South UniversityChangsha410083China State Key Laboratory of High Performance and Complex Manufacturing Central South UniversityChangsha410083China Material Systems for Nanoelectronics Chemnitz University of Technology09111ChemnitzGermany School of Materials Science and Engineering Hunan University of Science and TechnologyXiangtan411201China

Texture evolution in rolled Mg-1 wt%Zn and Mg-1 wt%Y binary alloys was analyzed by quasi-in situ electron backscatter diffraction(EBSD)during static ***-1 wt%Zn and Mg-1 wt%Y alloys exhibited strong basal texture at the initial recrystallization *** grain growth annealing,the basal texture component{0001}<1120>was increased in Mg-1 wt%Zn alloy and that of Mg-1 wt%Y alloy was decreased to be a random *** and Y atoms segregated strongly to the recrystallized grain boundaries in Mg-1 wt%Zn alloy and Mg-1 wt%Y alloy,***,Zn and Y elements facilitated the grain boundary movements along contrary directions during grain *** Mg-1 wt%Zn alloy,due to the Zn element segregation on grain boundaries,the grains consisted of a strong texture grew more easily because the grain boundary migration tended to move from the orientation close to normal direction to the orientation near to transverse direction or rolling ***,after grain growth,the volume fraction of texture component{0001}<1120>was increased by consuming the neighboring grains,leading to a stronger basal *** the contrary,in the Mg-1 wt%Y alloy,the Y element segregation caused the opposite direction of grain boundary migration,resulting in a random texture.

关键词： Static recrystallization Texture evolution Solute segregation

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A Multi-Channel Adaptive Cancellation Algorithm for Active Suppression of Motion-Induced Noise in Magnetic Antennas 3

A Multi-Channel Adaptive Cancellation Algorithm for Active S...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Hu, Mingyi Song, Junlei Yan, Yi Liu, Ying Li, Xiaoxue Dong, Kaifeng Jin, Fang Mo, Wenqin Hui, Yajuan School of Automation China University of Geosciences Wuhan430074 China Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China

ISBN: (纸本)9798331540319

During super low frequency (SLF) magnetic induction communication, the sensitive antenna carried by autonomous underwater vehicles (AUVs) is highly susceptible to vibration, resulting in a large amount of noise in communication signals, which seriously affects communication performance. The type of motion-induced noise typically exhibits randomness and nonlinearity. Based on the strong correlation between the motion-induced noise and the antenna's vibration signal, we propose a multi-channel normalized least mean square (MCNLMS) algorithm. The algorithm utilizes the six degrees of freedom vibration acceleration information from both ends of the magnetic antenna as the reference signal input for the canceller, providing more comprehensive information related to motion-induced noise than the single-channel adaptive noise cancellation algorithm. Experimental results indicate that the MCNLMS algorithm demonstrates effective suppression of the motion-induced noise, achieving an average reduction of approximately 7 dB within the 160-170 Hz communication band. Additionally, it exhibits improved stability and faster convergence. © 2024 IEEE.

关键词： Adaptive algorithms

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A Fully Soft Bionic Grasping Device with the Properties of Segmental Bending Shape and Automatically Adjusting Grasping Range

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Journal of Bionic engineering 2022年第5期19卷 1334-1348页

作者： Lingjie Gai Xiaofeng Zong School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China

In this paper,we propose a fully Soft Bionic Grasping Device(SBGD),which has advantages in automatically adjusting the grasping range,variable stiffness,and controllable bending *** device consists of soft gripper structures and a soft bionic bracket *** adopt the local thin-walled design in the soft gripper *** design improves the grippers’bending efficiency,and imitate human finger’s segmental bending *** addition,this work also proposes a pneumatic soft bionic bracket structure,which not only can fix grippers,but also can automatically adjust the grasping space by imitating the human adjacent fingers’opening and closing *** to the above advantages,the SBGD can grasp larger or smaller objects than the regular grasping ***,to grasp small objects reliably,we further present a new Pinching Grasping(PG)*** great performance of the fully SBGD is verified by *** work will promote innovative development of the soft bionic grasping robots,and greatly meet the applications of dexterous grasping multi-size and multi-shape objects.

关键词： Fully soft bionic grasping device Local thin-walled grippers Soft bionic bracket Adjust grasping range automatically Segmental bending shape New pinching grasping method

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PVTimesNet: A Hybrid Deep Learning Method for Enhancing Ultra-short-term PV Power Forecasting

PVTimesNet: A Hybrid Deep Learning Method for Enhancing Ultr...

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2024 China Automation Congress, CAC 2024

作者： Wu, Ji Wang, Kai Ma, Wenwen Zhang, Jingxin Wang, Shibo China Electric Power Research Institute Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350368604

Accurate ultra-short-term photovoltaic (PV) power forecasting is crucial for the real-time scheduling of grid systems. However, the inherent variability of solar energy makes this task extremely challenging. To enhance PV power forecasting, this paper introduces a novel hybrid model named PVTimesNet, designed to harness the strengths of Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM) for effective feature extraction. PVTimesNet consists of two parallel branches: the CNN1d branch, which captures correlations between multiple variables and adjacent time steps, and the LSTM branch, which learns the temporal dependencies within the PV power sequences. The features extracted by both branches are then concatenated and passed through a fully connected layer to generate multi-step PV power forecasts. Experimental results demonstrate that for forecast horizons of 1 to 4 hours, the proposed model significantly outperforms individual models and other CNN-LSTM hybrid structures. Additionally, it exhibits superior performance compared to related methods for longer forecast horizons. © 2024 IEEE.

关键词： Hybrid power

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A modular four-modal soft grasping device

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Science China(Technological Sciences) 2022年第8期65卷 1845-1858页

作者： GAI LingJie ZONG XiaoFeng School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China

It is a key challenge for soft grasping devices to stably grasp unstructured objects with multi-size and multi-shape. The conventional single-function grippers have some limitations in grasping the above kinds of objects. This work proposes a modular four-modal soft grasping device(MFSGD), which consists of soft fingers, suction cups, soft wrapper, and other structures. It can perform a variety of grasping modes such as bending grasping mode, wrapping grasping mode, end liftingsucking mode, and side fixed-sucking mode. It may be one of the devices with the most grasping modes at present. Moreover, the device adopts a fully modular design with different structures connected by magnets. It is not only convenient to disassemble or assemble, so as to solve the mutual interference of different modal structures problem during grasping, but also simplifies the fabrication of the multi-modal grasping device. In addition, this work matches the suitable grasping modes for objects of different shapes and sizes, and obtains the relative characteristics of the MFSGD. The proposed device can improve the ability of the grasping robots, and is expected to play an important role in economic and industrial fields.

关键词： four-modal soft grasping device modular suction cups soft wrapper soft fingers

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Containment Control of Multi-Agent systems with Stochastic Multiplicative Noises

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Journal of systems Science & complexity 2022年第3期35卷 909-930页

作者： REN Junhao ZONG Xiaofeng School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China

This paper investigates the containment problem of continuous-time multi-agent systems with multiplicative noises,where the first-order and second-order multi-agent systems are studied *** on stochastic analysis tools,algebraic graph theory,and Lyapunov function method,the containment protocols based the relative states measurement with multiplicative noises are developed to guarantee the mean square and almost sure ***,the sufficient conditions and necessary conditions related to the control gains are derived for achieving mean square and almost sure *** is also shown that multiplicative noises may works positively for the almost sure containment of the first-order multi-agent *** examples are also introduced to illustrate the effectiveness of the theoretical results.

关键词： Containment control multi-agent system multiplicative noises stochastic system

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An ultra-precise Fast Fourier Transform

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Measurement: Sensors 2024年 32卷

作者： Henry, Manus Fluid and Complex Systems Research Centre Coventry University United Kingdom Department of Engineering Science University of Oxford United Kingdom

The Fast Fourier Transform (FFT) is a cornerstone of digital signal processing, generating a computationally efficient estimate of the frequency content of a time series. Its limitations include: (1) information is only provided at discrete frequency steps, so further calculation, for example interpolation, may be required to obtain improved estimates of peak frequencies and amplitudes;(2) ‘energy’ from spectral peaks may ‘leak’ into adjacent frequencies, potentially causing lower amplitude peaks to be distorted or hidden;(3) the FFT is a discrete time approximation of continuous time mathematics. A new FFT calculation addresses each of these issues through the use of two windowing functions, derived from Prism Signal Processing. Separate FFT results are obtained by applying each windowing function to the data set. Calculations based on the two FFT results yields high precision estimates of spectral peak location (frequency) amplitude and phase while suppressing spectral leakage. © 2024 The Author

关键词： Spectrum analysis

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Structure deformation of Ni-Fe-Se enables efficient oxygen evolution via RE atoms doping

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Rare Metals 2025年第1期44卷 336-348页

作者： Hong-Rui Zhao Cheng-Zong Yuan Cong-Hui Li Wen-Kai Zhao Fu-Ling Wu Lei Xin Hong Yin Shu-Feng Ye Xiao-Meng Zhang Yun-Fa Chen Jiangxi Province Research Institute of Rare Earths Ganjiang Innovation AcademyChinese Academy of SciencesGanzhou341119China School of Rare Earths University of Science and Technology of ChinaHefei230026China Key Laboratory of Hunan Province for Advanced Carbon-Based Functional Materials School of Chemistry and Chemical EngineeringHunan Institute of Science and TechnologyYueyang414006China State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing100190China

The development of cost-effective and highly stable electrocatalysts for oxygen evolution reactions holds paramount importance in practical hydrogen ***,we present a novel self-supported electrode comprising Ce-doped Ni-Fe-Se nanosheets grown on carbon cloth(Ni-Fe-Ce-Se/CC).This electrode was synthesized through a selenylation process,utilizing Ni-Fe-Ce-layered double hydroxide/carbon cloth(Ni-Fe-Ce LDH/CC)as the ***,Ni-Fe-Ce-Se/CC electrode demonstrates remarkable performance,requiring a low overpotential of 300 mV to attain a current density of 100 mA·cm^(-2)under harsh alkaline ***,the electrode exhibits exceptional stability during continuous operation for 100 *** into the underlying mechanisms was gained through a combination of experimental results and density functional theory *** findings reveal that Ce doping induces crystal structure deformation in Ni-Fe-Se and enhances electron enrichment around Ni *** structural modification optimizes the adsorption energy of oxygen-based intermediates on the Ni-Fe-Se *** work offers a valuable strategy for regulating the electron transfer and adsorption capabilities of transition metal selenide electrocatalysts through RE atoms doping,opening new avenues for enhanced electrocatalytic performance.

关键词： Ce doping Structure deformation Ni-Fe-Se Electron transfer Oxygen evolution

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A Novel Hybrid Transformer-Based Framework for Solar Irradiance Forecasting under Incomplete Data Scenarios

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IEEE Transactions on Industrial Informatics 2024年第6期20卷 8605-8615页

作者： Zhang, Hanjin Li, Bin Su, Shun-Feng Yang, Wankou Xie, Liping Southeast University School of Economics and Management Nanjing210096 China National Taiwan University of Science and Technology Department of Electrical Engineering Taipei106 Taiwan Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Nanjing210096 China Southeast University Shenzhen Research Institute Shenzhen518063 China

Accurate prediction of solar irradiance is crucial for the effective utilization of solar energy. However, in real-world scenarios, complex irradiance patterns and prevalent incomplete data pose challenges to precise forecasting, resulting in additional uncertainties and instability. To address these issues, this study proposes a novel irradiance forecasting model that integrates a Mask-Transformer data imputation module and a prediction module centered around the typical patterns representation mechanism. The Mask-Transformer leverages a mask modeling mechanism to model the context of missing data, facilitating accurate estimation of missing values and reducing noise and uncertainty in the input data. The typical patterns representation mechanism comprises a series decomposition module and a feature fusion module, providing the module with the capability to mitigate nonlinearity and nonstationarity in solar irradiance data. This enhancement leads to improved short-term forecasting performance while maintaining long-term forecasting capabilities. Experimental results on two datasets demonstrate that the proposed model exhibits sufficient robustness and accuracy, making it effective in scenarios with incomplete data. © 2005-2012 IEEE.

关键词： Forecasting

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Special Issue for the Future Chemical engineering Scholars of Global Chinese Chemical engineering Symposium

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Frontiers of Chemical Science and engineering 2022年第6期16卷 775-776页

作者： Jesse Zhu Junwu Wang Particle Technology Research Centre Western UniversityLondonOntario N6A 5B9Canada State Key Laboratory of Multiphase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China

The Global Chinese Chemical engineering Symposium(GCCES)is a prestigious and world-wide platform for the communication and academic exchange of chemical science and *** addition to its key roles in international academic exchanges and collaborations,as well as cross-disciplinary integration and industrial-academic co-operation,the GCCES strongly promotes the professional development of young Chinese chemical engineers and scientists by founding series of special forums for the winners of the Excellent Postgraduate Academic Forum,the Young researchers Forum,the Future Chemical engineering Scholars,and the International Award for Outstanding Young Chemical Engineers.

关键词： founding Global Scholars

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