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Effects of aggregate size distribution and carbon nanotubes on the mechanical properties of cemented gangue backfill samples under true triaxial compression

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International Journal of Minerals,Metallurgy and Materials 2025年第2期32卷 311-324页

作者： Qian Yin Fan Wen Zhigang Tao Hai Pu Tianci Deng Yaoyao Meng Qingbin Meng Hongwen Jing Bo Meng Jiangyu Wu State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China State Key Laboratory for Geomechanics&Deep Underground Engineering China University of Mining and Technology(Beijing)Beijing 100083China Key Laboratory of Xinjiang Coal Resources Green Mining Ministry of EducationXinjiang Institute of EngineeringUrumqi 830023China

The mechanical behavior of cemented gangue backfill materials(CGBMs)is closely related to particle size distribution(PSD)of aggregates and properties of cementitious ***,the true triaxial compression tests,CT scanning,SEM,and EDS tests were conducted on cemented gangue backfill samples(CGBSs)with various carbon nanotube concentrations(P_(CNT))that satisfied fractal theory for the PSD of *** mechanical properties,energy dissipations,and failure mechanisms of the CGBSs under true triaxial compression were systematically *** results indicate that appropriate carbon nanotubes(CNTs)effectively enhance the mechanical properties and energy dissipations of CGBSs through micropore filling and microcrack bridging,and the optimal effect appears at P_(CNT)of 0.08wt%.Taking PSD fractal dimension(D)of 2.500 as an example,compared to that of CGBS without CNT,the peak strength(σ_(p)),axial peak strain(ε_(1,p)),elastic strain energy(Ue),and dissipated energy(U_(d))increased by 12.76%,29.60%,19.05%,and90.39%,***,excessive CNTs can reduce the mechanical properties of CGBSs due to CNT agglomeration,manifesting a decrease inρ_(p),ε_(1,p),and the volumetric strain increment(Δε_(v))when P_(CNT)increases from 0.08wt%to 0.12wt%.Moreover,the addition of CNTs improved the integrity of CGBS after macroscopic failure,and crack extension in CGBSs appeared in two modes:detour and pass through the ***σ_(p)and U_(d)firstly increase and then decrease with increasing D,and porosity shows the opposite ***ε_(1,p)andΔε_(v)are negatively correlated with D,and CGBS with D=2.150 has the maximum deformation parameters(ε_(1,p)=0.05079,Δε_(v)=0.01990)due to the frictional slip effect caused by coarse *** increasing D,the failure modes of CGBSs are sequentially manifested as oblique shear failure,"Y-shaped"shear failure,and conjugate shear failure.

关键词： cemented gangue backfill materials particle size distribution true triaxial compression test carbon nanotubes mechanical properties failure modes

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Simulation of lubrication on rough surfaces with multiscale lubrication neural networks

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Science China(Technological Sciences) 2025年第3期68卷 192-203页

作者： Yihu TANG Li HUANG Limin WU Xianghui MENG School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai200240China National Key Laboratory of Marine Engine Science and Technology Shanghai201108China Shanghai Marine Diesel Research Institute Shanghai201108China

The simulation of lubrication on rough surfaces is essential for the design and optimization of tribological *** the application of physics-informed neural networks(PINNs)in analyzing hydrodynamic lubrication has been increasing,their implementation has predominantly been restricted to smooth *** limitation arises from the inherent spectral bias of conventional PINN methodologies,which tend to prioritize the learning of low-frequency features,thereby hindering their ability to analyze rough surfaces characterized by high-frequency signals *** date,there have been no reported instances of PINN methodologies being applied to rough surface *** response to these challenges,this paper presents an innovative multiscale lubrication neural network(MLNN)architecture that incorporates a trainable Fourier feature *** integrating learnable feature embedding frequencies,this architecture is capable of automatically adjusting to various frequency components,thus improving the analysis of rough surface *** proposed method has been evaluated across a range of surface topographies,with results compared to those derived from the finite element method(FEM).The comparative analysis indicates a high degree of consistency between the MLNN results and those obtained through ***,this novel architecture demonstrates superior performance in terms of both accuracy and computational efficiency when compared to traditional Fourier feature networks that utilize fixed feature embedding *** a result,the MLNN model represents a more effective tool for the analysis of lubrication on rough surfaces.

关键词： physics-informed neural network Fourier feature embedding multiscale lubrication rough surface

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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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Enhancing Flexibility of Virtual Power Plants Considering Reconfiguration of District Heating Network

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CSEE Journal of Power and Energy Systems 2025年第2期11卷 826-837页

作者： Peinan Fan Yixun Xue Haotian Zhao Xinyue Chang Jia Su Ke Wang Hongbin Sun College of Electrical and Power Engineering Taiyuan University of TechnologyEnergy Internet Key Laboratory of Shanxi Provinceand also with Key Laboratory of Cleaner Intelligent Control on Coal&ElectricityMinistry of EducationTaiyuan 030024China Department of Electrical Engineering Tsinghua UniversityBeijing 100084China

Large-scale renewable energy penetration desires higher flexibility in the power *** heat and power virtual power plants(CUP-VPPs)provide an economic-effective method to improve the power system flexibility by aggregating the distributed resources of an electric-thermal coupling *** topology can be optimally reconfigured in a power distribution system by operating tie and segment ***,the heat flow profile can be redistributed in the district heating system(DHS)with valve switching and provide notable flexibility for CHP-VPPs *** address this issue,an aggregation model for the CHP-VPP is proposed to trade in typical day-ahead energy and reserve electricity markets,which is formulated as an adjustable robust optimization(ARO)problem to assure the realizability of all dispatch *** energy flow model is introduced in DHS formulation to make the model *** to the binary switching variables in the second stage of the proposed ARO problem,classical Karush-Kuhn-Tucker-based algorithms cannot be adopted directly and a nested column-and-constraint generation solution strategy is *** studies based on an actual CHP-VPP certify the validity of the proposed model and algorithm.

关键词： Adjustable robust optimization DHS reconfiguration electric-thermal coupling system virtual power plants

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Swarm-Based Dynamic Coverage of Multi-ASV Systems in the Presence of Measurement Noises

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IEEE Transactions on Vehicular technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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CF6D: A Visual Perception Network for Collision-Free Grasping and Manipulation in Complex Industrial Environments

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IEEE Sensors Journal 2025年第9期25卷 16250-16259页

作者： Li, Cuiming Shi, Lei Shen, Tao Kang, Ru Lanzhou University of Technology School of Mechanical and Electrical Engineering National Key Laboratory of Large Electrical Drive Systems and Equipment Technology Key Laboratory of Advanced Control of Industrial Processes of Gansu Province Lanzhou730050 China

Accurate 6-D pose estimation is critical for robots to perform grasping tasks successfully. In recent years, numerous 6-D pose estimation algorithms have been widely applied in robotic grasping experiments. However, in complex environments, industrial robots often struggle to extract effective image features, leading to inaccurate 6-D pose estimations and subsequent grasping failures. In addition, improper grasping sequences caused by stacked parts increase the risk of collisions, further elevating the probability of grasping failure. To overcome these challenges, we presented CF6D, a collision-free grasping network based on 6-D pose estimation. Specifically, we devised a keypoint prediction network that utilizes a least squares fitting algorithm to exactly detect object keypoints and estimate 6-D poses. The network also outputs an optimal grasping sequence, enabling the robot to effectively grasp stacked parts based on precise poses and a reasonable order. On the relevant dataset, our method is obviously better than the existing methods in terms of accuracy and robustness. Furthermore, test results on a real-world robotic platform demonstrate that this method excels in practical grasping tasks, meeting the demands of industrial applications. © 2025 IEEE.

关键词： Industrial robots

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Efficient conversion of chitin to HMF under the cocatalytic system of formic acid and silicotungstic acid

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Journal of Oceanology and Limnology 2025年第1期43卷 261-273页

作者： Luxiao ZHOU Kun GAO Peng HE Huahua YU Ronge XING Song LIU Yukun QIN College of Chemistry and Molecular Engineering Qingdao University of Science and TechnologyQingdao 266042China CAS and Shandong Province Key Laboratory of Experimental Marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China Laboratory for Marine Drugs and Bioproducts Qingdao Marine Science and Technology CenterQingdao 266237China

The conversion process of chitin,one of the abundant biomass resources on the earth,not only follows the principles of green chemistry,but also has significant value in industrial ***,it is a great challenge to directly convert insoluble and rigid structured chitin to 5-hydroxymethylfurfural(HMF).To address this issue,we developed a green conversion process combining pretreatment and catalytic *** was first pretreated by hexafluoro isopropanol(HFIP),which somewhat disrupted the hydrogen bonding network within the chitin ***,formic acid(FA)and silicotungstic acid(STA)synergistically catalyzed the conversion to HMF in a biphasic system of 2-methyltetrahydrofuran(2-Me-THF)/H2O,and high yields(40.2%)HMF was obtained under the optimism *** product distribution was analyzed by HPLC-MS and the co-catalysis of FA with STA was evidenced.A dual-function catalytic system with both Lewis and Br?nsted acids was created,the catalytic system that significantly improved the efficiency of complex tandem catalytic reactions with *** on the experimental results,a possible pathway for chitin conversion was deduced,providing a new catalytic idea for the efficient conversion of chitin to HMF.

关键词： chitin 5-hydroxymethylfurfural 2-Me-THF/H2O biphasic system Lewis and Br?nsted acid

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Superior high-temperature lubrication of MoS2/Ta/WB2 nanomultilayer film

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Ceramics International 2025年第15期51卷 19889-19900页

作者： Hou, Guoyuan Gao, Zhenrong Fan, Xin Cui, Mingjun Ren, Siming Key Laboratory of the Impact and Safety Engineering Ministry of Education Ningbo University Ningbo315211 China Key Laboratory of Advanced Marine Materials Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China

To address the performance limitations of molybdenum disulfide (MoS2) in high-temperature environments, we fabricate a sandwich-like nanomultilayer film composed of alternating MoS2 and tungsten diboride (WB2) nanolayers, with Ta dopants, using unbalanced magnetron sputtering. This architecture demonstrates superior mechanical properties over a wide temperature range (25–400 °C), achieving a high hardness-to-elastic modulus (H/E) value of 0.084 at 400 °C. The film also maintains a low friction coefficient of 0.06 at 300 °C under high contact stress, enabled by the formation of a friction-induced tribofilm consisting of oxide nanoparticles (e.g., MoO3, WO3, Ta2O5) encapsulated by MoS2 (002) nanosheets. This design provides a promising strategy for developing high-performance lubricants capable of withstanding extreme operating conditions. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Friction

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Influence of minor cerium addition on microstructure and fluidity of as-cast Al-Cu-Mn-Mg alloy

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Journal of Rare Earths 2025年第2期43卷 377-383,I0006页

作者： Yishan Wang Yu Bai Kaixi Jiang Wenxue Fan Puxuan Wang Hai Hao Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China Ningbo Research Institute of Dalian University of Technology Ningbo 315016China

Al-Cu-Mn alloys are widely used to produce automobile components like cylinder heads and engine blocks because of their capability to retain excellent thermal and mechanical characteristics at high ***,the Al-Cu-Mn-based alloys demonstrate restricted fluidity,leading to casting defects such as shrinkage and incomplete *** research investigated the microstructure and fluidity of Al-4.7Cu-1.0Mn-0.5Mg(wt%)alloy with minor cerium(Ce)*** as-cast alloys predominantly compriseα-Al matrix,accompanied by the presence of Al_(2)Cu,Al_(6)Mn,and Al_(8)Cu_(4)Ce *** influence of adding Ce on the fluidity of the Al-4.7Cu-1.0Mn-0.5Mg alloy was investigated using a trispiral fluidity test mold in this *** findings suggest that the addition of Ce within the range of 0.1 wt%to 0.5 wt%in the Al-4.7Cu-1.0Mn-0.5Mg alloy results in an enhancement in ***,the alloy containing 0.4 wt%Ce exhibits a significant increase in fluidity distance,from 349.7 to 485.7 *** improvement can be attributed to the reduction in viscosity,the refinement of secondary dendrite arm spacing,and the modification of secondary phase ***,a higher concentration of Ce leads to a decrease in fluidity length,potentially due to the formation of Al_(8)Cu_(4)Ce.

关键词： Al-Cu-Mn-Mg alloy Rare earths Ce addition Microstructure Fluidity

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Tailoring Na-ion flux homogenization strategy towards long-cycling and fast-charging sodium metal batteries

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Journal of Energy Chemistry 2025年第3期102卷 516-523页

作者： Lin Zhou Shengwei Dong Zhuomin Qiang Chaoqun Zhang Anran Shi Yanbin Ning Ziwei Liu Cong Chen Yan Zhang Dalong Li Shuaifeng Lou School of Marine Science and Technology Harbin Institute of Technology at WeihaiWeihai 264209ShandongChina State Key Laboratory of Space Power-Sources School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001HeilongjiangChina

Sodium metal batteries(SMBs)are promising candidates for next-generation energy storage devices owing to their excellent safety performance and natural abunda nce of ***,the insurmountable obstacles of dendrite formation and quick capacity decay are caused by an unstable and inhomogeneous solid electrolyte interphase that resulted from the immediate interactions between the Na metal anode and organic liquid ***,a customised glass fibre separator coupled with chitosan(CS@GF)was developed to modulate the sodium ion(Na^(+))*** CS@GF separator facilitates the Na+homogeneous deposition on the anode side through redistribution at the chitosan polyactive sites and by inhibiting the decomposition of the electrolyte to robust solid electrolyte interphase(SEI)*** simulations show that chitosan incorporated into SMBs through the separator can make the local electric field around the anode uniform,thus facilitating the transfer of ***|Na symmetric cells utilising a CS@GF separator exhibited an outstanding cycle stability of over 600 h(0.5 mA cm^(-2)).Meanwhile,the Na|Na_(3)V_(5)(PO_(4))_(3)full cell exhibited excellent fast-charging performance(93.47%capacity retention after 1500 cycles at 5C).This study presents a promising strategy for inhibiting dendrite growth and realizes stable Na metal batteries,which significantly boosts the development of high-performance SMBs.

关键词： Sodium metal battery Nat homogeneous deposition Chitosan-modified separators Fast charging

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