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Effect of Free-End Torsion on the Corrosion and mechanical Properties for Mg-3Zn-0.2Ca Alloy

Acta Metallurgica Sinica(English Letters) 2025年第1期38卷 59-70页

作者： Li-Lan Gao Jiang Ma Yan-Song Tan Xiao-Hao Sun Qi-Jun Gao De-Bao Liu Chun-Qiu Zhang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin300384China School of Materials Science and Engineering Tianjin University of TechnologyTianjin300384China

Magnesium alloys with excellent degradability and biocompatibility are promising materials for biomedical implants,saving patients the burden of second ***,their mechanical properties and corrosion resistance are significantly below the requirements for implant *** study aims to improve the mechanical and corrosion resistance properties of Mg-3Zn-0.2Ca alloy by pre-torsion treatment,and find out the optimal shear *** rod-shaped Mg-3Zn-0.2Ca alloy specimens were pre-torsion treated at different torsion *** effect of free-end torsion on Mg-3Zn-0.2Ca alloy was characterized through microstructure analysis,mechanical testing,and corrosion ***-torsion treatment can refine grain and induce twins and dislocations in Mg-3Zn-0.2Ca *** surface hardness increases with the increase in torsion *** yield strength and ultimate strength initially increase and then decrease with increasing torsion angle,while ductility decreases with increasing torsion *** with a shear strain of 30%exhibit the highest tensile strength,reaching 284.78±10.62 MPa,with an elongation of 19.37±1.66%.Furthermore,they show a significant improvement in fatigue lives both before and after *** the stress amplitude is 120 MPa,the fatigue lives for specimens without pre-torsion treatment are 54,275 cycles and 4324 cycles before and after pre-corrosion,while they increased significantly to 92,015 cycles and 5050 cycles with the 30%shear strain,***,the 30%shear strain specimens show a significant reduction in corrosion *** conclusion,pre-torsion treatment can effectively modify the microstructure of Mg-3Zn-0.2Ca alloy,enhancing both mechanical properties and corrosion *** optimal shear strain for this improvement is 30%.This study provides a practical method to enhance the mechanical properties and corrosion resistance of Mg-3Zn-0.2Ca alloy,making it more suitable for biomedical implan

关键词： Magnesium alloy Pre-torsion Microstructure mechanical property Corrosion resistance

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Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology:Case insights and methodological advances

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International Journal of Mining science and technology 2025年第4期35卷 619-638页

作者： Yanan Qian Ting Liu Cheng Zhai Hongda Wen Yuebing Zhang Menghao Zheng Hexiang Xu Dongyong Xing Xinke Gan State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou 221116China Yunlong Lake Laboratory of Deep Underground Science and Engineering Xuzhou 221003China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Emergency Management Chengdu UniversityChengdu 610106China School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Xinjiang Yaxin Coalbed Methane 156 Exploration Co. Ltd.Urumqi 841100China

Through a case analysis,this study examines the spatiotemporal evolution of microseismic(MS)events,energy characteristics,volumetric features,and fracture network development in surface well hydraulic fracturing.A total of 349 MS events were analyzed across different fracturing sections,revealing significant heterogeneity in fracture *** scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections,indicating notable *** reservoir volume(SRV)analysis demonstrated well-developed fracture networks in certain sections,with a total SRV exceeding 1540000 m^(3).The hydraulic fracture network analysis revealed that during the midfracturing stage,the density and spatial extent of MS events significantly increased,indicating rapid fracture propagation and the formation of complex *** the later stage,the number of secondary fractures near fracture edges decreased,and the fracture network *** comparing the branching index,fracture length,width,height,and SRV values across different fracturing sections,Sections No.1 and No.8 showed the best performance,with high MS event densities,extensive fracture networks,and significant energy ***,Sections No.4 and No.5 exhibited sparse MS activity and poor fracture connectivity,indicating suboptimal stimulation effectiveness.

关键词： Hydraulic fracturing Microseismic Source location Energy scanning Fracture network

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Underwater arbitrary ranging based on chirped pulse interferometry with a mode-locked laser

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Journal of Lightwave technology 2025年第11期43卷 5235-5243页

作者： Shi, Haonan Zhao, Haihan Xu, Xinyang Zhu, Zhiwei Zhai, Jingsheng Li, Xiaobo Tianjin University School of Marine Science and Technology Tianjin300072 China Research Institute of China Electronics Technology Group Corporation Science and Technology on Electro-Optical Information Security Control Laboratory No. 53 Tianjin300308 China The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong999077 Hong Kong Nanjing University of Aeronautics and Astronautics Key Laboratory of Space Photoelectric Detection and Perception Ministry of Industry and Information Technology Nanjing211106 China

Underwater distance measurement and length sensing, as fundamental functions of geoscience, are integrated into underwater robots and vessels in various forms of sensor payloads and play a crucial role in a wide range of remote sensing applications. Advanced laser-based detection systems and algorithms are essential for underwater tasks, such as detecting damage in underwater pipelines and conducting detailed structural health assessments. In this paper, we experimentally demonstrated an arbitrary underwater ranging system by the chirped pulse interferometry with a mode-locked laser. Water's inherent characteristic introduces dispersion, enabling unique distance discrimination. Adjusting the repetition frequency allows us to acquire the interference spectrum. A long fiber delay line, stabilized by the servo-controlled system, eliminates the ranging dead zone. The widest fringe of the interference spectrum, corresponding to an instantaneous repetition frequency, indicates the arbitrary measured distance. Leveraging a charge-coupled device detection module, we achieved an update rate of 13.5 Hz for the interference spectrum. Experimental results show a precise distance difference within 59.8 μm at the 5 m range underwater without the dead zone. © 2025 IEEE. All rights reserved.

关键词： Laser mode locking

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Interference Suppression and Jitter Elimination Ability-Based Adaption Tracking Guidance for Robotic Fishes

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 126-137页

作者： Dongfang Li Jie Huang Rob Law Xin Xu Limin Zhu Edmond Q.Wu IEEE the School of Electrical Engineering and Automation Fuzhou University the Key Laboratory of System Control and Information Processing Ministry of Education the School of Electrical Engineering and Automation Fuzhou University 5G+Industrial Internet Institute Fuzhou University the University of Macau the College of Mechatronics and Automation National University of Defense Technology the School of Mechanical Engineering Shanghai Jiao Tong University the Department of Computer Science and Engineering Shanghai Jiao Tong University

This work presents an adaptive tracking guidance method for robotic fishes. The scheme enables robots to suppress external interference and eliminate motion jitter. An adaptive integral surge line-of-sight guidance rule is designed to eliminate dynamics interference and sideslip issues. Limited-time yaw and surge speed observers are reported to fit disturbance variables in the model. The approximation values can compensate for the system's control input and improve the robots' tracking ***, this work develops a terminal sliding mode controller and third-order differential processor to determine the rotational torque and reduce the robots' run jitter. Then, Lyapunov's theory proves the uniform ultimate boundedness of the proposed method. Simulation and physical experiments confirm that the technology improves the tracking error convergence speed and stability of robotic fishes.

关键词： Adaptive integral surge line-of-sight approximation robotic fish speed observer

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P-tuned FeN_(2)binuclear sites for boosted CO_(2)electro-reduction

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Journal of Energy Chemistry 2025年第2期101卷 816-824,I0018页

作者： Cao Guo Sanshuang Gao Jun Li Menglin Zhou Abdukader Abdukayum Qingquan Kong Yingtang Zhou Guangzhi Hu School of Materials and Energy Institute for Ecological Research and Pollution Control of Plateau LakesSchool of Ecology and Environmental ScienceYunnan UniversityKunming 650504YunnanChina Xinjiang Key Laboratory of Novel Functional Materials Chemistry College of Chemistry and Environmental SciencesKashi UniversityKashi 844000XinjiangChina School of Mechanical Engineering Chengdu UniversityChengdu 610106SichuanChina National Engineering Research Center for Marine Aquaculture Marine Science and Technology CollegeZhejiang Ocean UniversityZhoushan 316004ZhejiangChina

The recycling of CO_(2)through electrochemical processes offers a promising solution for alleviating the greenhouse effect;however,the activation of CO_(2)and desorption of^(*)CO in electrocatalytic CO_(2)reduction(ECR)frequently encounter high energy barriers and competitive hydrogen evolution reactions(HERs),which are urgent problems that need to be *** this study,a catalyst(P100-Fe-N/C)with homogeneous P-tuned FeN_(2)binuclear sites(N_(2)PFe-FePN_(2))was successfully synthesised,demonstrating satisfactory performance in the ECR to CO.P100-Fe-N/C attains a peak FECOof 98.01%and a normalized TOF of 664.7 h-1at-0.7 VRHE,surpassing the performance of the Fe binuclear catalyst without P and singleatoms *** the MEA cell,a FECOexceeding 90%can still be *** functional theory analysis indicates that the asymmetric coordination configuration induced by the incorporation of P facilitates a reduction in the system's *** modulation of P results in the d-band centre of the catalyst being positioned closer to the Fermi level,which facilitates the interaction of the catalyst with CO_(2),allowing more electrons to be injected into the CO_(2)molecule at the Fe binuclear sites and inhibiting the *** P-tuned FeN_(2)binuclear sites effectively lower the^(*)CO desorption barrier.

关键词： electrocatalysis Diatomic catalyst Heteroatom doping CO_(2)reduction reaction DFT calculation

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Research on AI-driven complex network and management system of coal and gas outburst accident

Journal of Safety and Sustainability

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Journal of Safety and Sustainability 2025年第1期2卷 32-44页

作者： Cheng Lu Shuang Li Ningke Xu Yi Zhang Yanting Qin School of Economics and Management China University of Mining and Technology Xuzhou 221116 China Safety Science and Emergency Management Research Institute China University of Mining and Technology Xuzhou 221116 China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety Administration China University of Mining and Technology Xuzhou 221116 China

Coal and gas outburst accidents are the most dangerous and complex accidents in coal mines. There is an urgent need for a systematic, objective, intelligent, and full process coal and gas outburst accident control system. The study constructs artificial intelligence (AI) -driven complex network and control system for coal and gas outburst accident: a coal and gas outburst accident control method based on text mining, complex network, and knowledge graph is proposed to achieve systematic extraction of causal factors, accurate identification of control strategy, intelligent formulation of control measures for coal and gas outburst accidents. The research results indicate that: (1) 70 causal factors are extracted from 72 investigation reports on coal and gas outburst accidents, including 21 human factors, 16 mechanical equipment factors, 14 environmental factors, and 19 management factors. (2) The coal and gas outburst accident complex network has a more complex structure, stronger robustness, and more prominent multi factor coupling effect, requiring more intelligent control methods. (3) The attack strategy generated by the innovatively proposed comprehensive value (CV) topology indicator is the optimal control strategy for coal and gas outburst accidents, maintaining higher attack efficiency in multiple stages and better controlling accident complex network. It also performs well in controlling single accident. (4) The coal and gas outburst accident control technology which is based on knowledge graph can quickly match the control measures and relationships, perform intelligent search of entities, reduce the time and energy consumption of managers for knowledge analysis, and provide intelligent decision support for managers. This study validates the scientific and practical feasibility of AI in the control of coal and gas outburst accidents. Future research will focus on further expanding data sources, clarifying the mechanism of coal and gas outburst accidents, and

关键词： Coal and gas outburst accidents Complex network Knowledge graph AI

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A constant quasi-zero stiffness isolator with tension springs to isolate vibrations with ultralow frequency

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International Journal of Non-Linear Mechanics 2025年 175卷

作者： Zhao, Feng Ji, J.C. Cao, Shuqian Zheng, Jingyang Luo, Quantian Department of Mechanics Tianjin University Tianjin300354 China Tianjin Key Laboratory of Nonlinear Dynamics and Control National Key Laboratory of Vehicle Power System Tianjin300354 China College of Mechanical and Electrical Engineering Henan Key Laboratory of Intelligent Manufacturing of Mechanical Equipment Zhengzhou University of Light Industry Zhengzhou450002 China School of Mechanical and Mechatronic Engineering University of Technology Sydney NSW2007 Australia College of Vehicle and Traffic Engineering Henan University of Science and Technology Luoyang471003 China

Many types of quasi-zero stiffness (QZS) isolators have been developed to isolate vibrations with low frequencies. However, isolating vibrations with ultralow frequency as low as 1 Hz is still a great challenge even in laboratory tests due to the high damping of QZS prototypes. To address this issue, a novel isolator with intrinsically light damping is proposed by configurating tension springs and oblique bars. The linear or nonlinear negative stiffness generated by the horizontal tension springs and oblique bars counteracts the linear positive stiffness of the vertical tension springs to obtain the QZS-related features including nonlinear QZS, constant positive or negative dynamic stiffness, constant QZS, and constant zero stiffness. Two QZS conditions are derived and the influence of parameters on QZS is thoroughly studied. The proposed isolator with tension springs has obvious differences from the previous isolator with compression springs in terms of QZS conditions, as well as force and stiffness expressions. Then, the displacement transmissibility is calculated by using the increment harmonic balance method and the continuous arc-length algorithm, which is verified by the classical harmonic balance method. These methods have the same prediction result. Finally, a prototype is fabricated and tested. The smoother force curves with constant QZS and the higher transmissibility amplitude can be obtained in tests compared to the previous isolator with compression springs under the same configuration parameters, which verifies the theoretical formulations of the proposed isolator with light damping. The prototype is further improved by replacing linear bearings with sliders to reduce the frictional effects. As a result, vibrations with ultralow frequencies lower than 1 Hz are successfully isolated. The proposed isolator has a wider frequency band and lower transmissibility than the previous isolator with compression springs. This study offers an effective method of de

关键词： Damping

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Three-dimensional suboptimal guidance law for fly-over and shoot-down smart ammunition via virtual target

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Journal of Beijing Institute of technology 2014年第4期23卷 443-451页

作者：杨喆吴炎烜范宁军王正杰 National Key Laboratory of Science and Technology on Electro-mechanical Dynamic Control School of Mechatronic EngineeringBeijing Institute of Technology

An optimal burst height is required for the fly-over and shoot-down smart ammunition with an EFP warhead at the instant of explosion which brings a special requirement to the miss distance of the terminal guidance law. In this paper, a guidance law based on the virtual target scheme is proposed. First, the practical pursuit-evasion issue between the ammunition and the target with specific miss distance is transformed into a virtuai pursuit-evasion problem with zero miss distance. Secondly, a complete three-dimensional pursuit-evasion kinematics model is established without any simplifications. And then, a suboptimal guidance law is designed based on the θ-D method which has constraints of the elevation and azimuth angular velocity of the virtual line of sight （LOS）. Finally, in order to verify the performance of the proposed guidance law, three test cases are conducted. Numericai results show that under the proposed terminal guidance law, the smart ammunition not only can fly above the target with an optimal burst height but also have a smaller normal acceleration on the terminal trajectory.

关键词： three-dimensional guidance law virtual target fly-over and shoot-down θ-D method

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Deep transfer learning-based decoder calibration for intracortical brain-machine interfaces

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Computers in Biology and Medicine 2025年第Pt A期192卷 110231-110231页

作者： Li, Xiao Dong, Xianxin Wang, Jun Mao, Haodong Tu, Xikai Li, Wei He, Jiping Li, Qiang Zhang, Peng Hubei Key Laboratory of Modern Manufacturing Quantity Engineering School of Mechanical Engineering Hubei University of Technology Wuhan430068 China Britton Chance Center for Biomedical Photonics Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Hubei Wuhan China MoE Key Laboratory for Biomedical Photonics Collaborative Innovation Center for Biomedical Engineering School of Engineering Sciences Huazhong University of Science and Technology Hubei Wuhan China The Key Laboratory of Ministry of Education for Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan China Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology Beijing China

Intracortical brain-machine interfaces (iBMIs) aim to establish a communication path between the brain and external devices. However, in the daily use of iBMIs, the non-stationarity of recorded neural signals necessitates frequent recalibration of the iBMI decoder to maintain decoding performance, which requires collecting and labeling a large amount of new data. To address this challenge and minimize the time needed for decoder recalibration, we proposed an active learning domain adversarial neural network (AL-DANN). This model leveraged a substantial volume of historical data alongside a small amount of current data (four samples per category) to calibrate the decoder. By incorporating domain adversarial and active learning strategies, the model effectively transferred knowledge from historical data to new data, reducing the demand for new samples. We validated the proposed method using neural signals recorded from three monkeys performing different movements in a classification task or a regression task. The results showed that the AL-DANN outperformed existing state-of-the-art methods. Impressively, it required only four new samples per category for decoder recalibration, leading to a recalibration time reduction of over 80 %. To our knowledge, this is the first study to incorporate deep transfer learning into iBMI decoder calibration, highlighting the significant potential of applying deep learning technologies in iBMIs. © 2025

关键词： Adversarial machine learning

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Polarization-Insensitive Terahertz Biosensing Method Based on Toroidal Dipole Metasurface

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IEEE Sensors Journal 2025年

作者： Liu, Heng Ke, Xue Shen, Liran Cao, Yuqi Zhang, Yi Tian, Liangfei Chen, Jiani Meng, Xue Huang, Pingjie Zhang, Guangxin Zhejiang University State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou310000 China Zhejiang University College of Biomedical Engineering and Instrument Science Hangzhou310000 China Hangzhou Ltd TROE Photonics Hangzhou310000 China Zhejiang University School of Medicine Key Laboratory of Molecular Biology in Medical Sciences The Second Affiliated Hospital Department of Breast Surgery Cancer Institute Key Laboratory of Cancer Prevention and Intervention China National Ministry of Education Zhejiang Province Hangzhou310009 China Xi’an University Shaanxi Key Laboratory of Surface Engineering and Remanufacturing College of Mechanical and Material Engineering Xi’an710065 China

Terahertz (THz) metasurfaces based on toroidal dipoles exhibit significant potential in biosensing applications. This study presents a polarization-insensitive THz metasurface biosensor designed with a fourfold rotationally symmetric toroidal dipole structure, consisting of a circular ring and four split-ring resonators. By exploiting the low-loss and polarization-insensitive properties of toroidal dipoles, the proposed sensor achieves significant electromagnetic field magnification and high sensitivity of biomolecular detection in the THz regime. Numerical simulation demonstrates a refractive index sensitivity of 721 GHz/RIU, while experimental measurements of cell suspensions indicate a sensitivity of 400 kHz/(cell/mL). The polarization-insensitive response, analyzed through multipole decomposition theory, is attributed to the balanced electromagnetic characteristics of the structure, which ensures consistent excitation of toroidal dipoles and magnetic quadrupoles across different polarization angles. For quantitative analysis, partial least squares (PLS) and support vector regression (SVR) methods are utilized to analyze liver cell lines (HepG2 and Miha), achieving high predictive accuracy with a mean squared error of 0.083. This work circumvents the polarization dependence observed in conventional THz biosensors and proposes an innovative approach for developing high-performance biosensing devices. © 2001-2012 IEEE.

关键词： electromagnetic fields

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