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Multi-frequency formation mechanism and modulation strategy of self-priming enhanced submerged pulsed waterjet

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International Journal of Mining Science and Technology 2025年第2期35卷 175-189页

作者： Haojie Jia Yanwei Liu Weiqin Zuo Hongkai Han Ping Chang Mohammad Waqar Ali Asad Guozhong Hu Jian Miao Hani SMitri College of Safety Science and engineering Henan Polytechnic UniversityJiaozuo 454003China Henan International Joint Laboratory of Coal Mine Safety and Occupational Hazards Prevention and Control Jiaozuo 454003China Zhengzhou Institute for advanced Research of Henan Polytechnic University Zhengzhou 451464China WA School of Mines:Minerals Energy and Chemical EngineeringCurtin UniversityKalgoorlie WA 6430Australia School of Mines China University of Mining and TechnologyXuzhou 221116China School of Intelligent engineering Shandong Management UniversityJinan 250357China department of Mining and Materials engineering McGill UniversityMontreal H3A0E8Canada

Under submerged conditions, compared with traditional self-excited oscillating pulsed waterjets(SOPWs), annular fluid-enhanced self-excited oscillating pulsed waterjets(AFESOPWs) exhibit a higher surge pressure through self-priming. However, their pressure frequency and cavitation characteristics remain unclear, resulting in an inability to fully utilize resonance and cavitation erosion to break coal and rock. In this study, high-frequency pressure testing, high-speed photography, and large eddy simulation(LES) are used to investigate the distribution of the pressure frequency band, evolution law of the cavitation cloud, and its regulation mechanism of a continuous waterjet, SOPW, and AFESOPW. The results indicated that the excitation of the plunger pump, shearing layer vortex, and bubble collapse corresponded to the three high-amplitude frequency bands of the waterjet pressure. AFESOPWs have an additional self-priming frequency that can produce a larger amplitude under a synergistic effect with the second high-amplitude frequency band. A better cavitation effect was produced after self-priming the annulus fluid, and the shedding frequency of the cavitation clouds of the three types of waterjets was linearly related to the cavitation number. The peak pressure of the waterjet and cavitation erosion effect can be improved by modulating the waterjet pressure oscillation frequency and cavitation shedding frequency.

关键词： Multi-frequency Modulation Self-priming Submerged waterjet Cavitation

Design and testing research of LiDAR for detecting atmospheric turbulence

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Optoelectronics Letters 2025年第3期21卷 172-176页

作者： QIU Duoyang LI Xianyang YANG Hao ZHU Xiaomeng FANG Zhiyuan XU Xiang School of advanced Manufacturing engineering Hefei University Anhui Provincial engineering Technology Research Center of Intelligent Vehicle Control and Integrated Design Technology Hefei University Science Island Branch of Graduate School University of Science and Technology of China School of Mechanical and energy engineering Ningbo Tech University Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences

Atmospheric turbulence is an important parameter affecting laser atmospheric transmission. This paper reports on a self-developed atmospheric turbulence detection Li DAR system (scanning differential image motion Li DAR(DIM-Li DAR) system). By designing and simulating the optical system of atmospheric turbulence detection Li DAR,the basic optical imaging accuracy has been determined.

关键词： A

A review of over-discharge protection through prelithiation in working lithium-ion batteries

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Journal of energy Chemistry 2025年第2期101卷 437-452页

作者： Hanchen Wang Yingtian Liu Mingze Jiang Qiang Zhang School of Aerospace engineering National Engineering Research Center of Neuromodulation Tsinghua University Tsinghua Center for Green Chemical engineering Electrification Department of Chemical Engineering Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Tsinghua University

The demand for high safety and high reliability lithium-ion batteries(LIBs) is strongly considered for practical ***,due to their inherent self-discharge properties or abuse,LIBs face the threat of over-discharge,which induces premature end of life and increased risk of thermal *** addition,a strong demand for batteries with zero-volt storage is strongly considered for aerospace and implantable medical *** this review,we firstly introduce the necessity and the importance of over-discharge and zero-volt protection for *** mechanism of damage to the Cu current collectors and SEI induced by potential changes during over-discharge is *** current over-discharge protection strategies based on whether the zero-crossing potential of the electrodes is ***,the fresh insights into the material design of cathode prelithiation additives are presented from the perspective of over-discharge protection.

关键词： Electrode potential regulation Electrode prelithiation Li-ion batteries Over-discharge protection Zero-volt storage

Multi-dimensional Bi@C electrocatalyst for Cr3+/Cr2+ redox reaction boosting high-performance iron-chromium flow batteries

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Science China Chemistry 2025年

作者： Min Wu Mingjun Nan Shumin Liu Caihe Zhong Lin Qiao Huamin Zhang Xiangkun Ma department of Materials Science and engineering Dalian Maritime University Division of energy Storage Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences

With the increasing demand for energy storage technology, iron-chromium flow batteries（ICFBs） have been widely concerned because of their price advantage. However, the low electrochemical activity of Cr3+/Cr2+redox couples and the side hydrogen evolution reaction limit the industrial application of ICFBs. A multi-dimensional Bi/carbon composite electrocatalyst（Bi@C）for ICFB is designed and prepared to improve the electrochemical activity of Cr3+/Cr2+redox couples. Benefiting by using the Bimetal organic framework（Bi-MOF） with solid matrix as precursors, Bi nanospheres are highly dispersed on the Bi@C electrocatalyst that effectively enhances the electrochemical activity. The special morphology of Bi@C electrocatalyst helps the transfer of electrons and ions, significantly reducing the polarization of battery. Herein, the 3D porous carbon frames accelerate mass transfer, and the 2D carbon nanobelts and carbon layer coating on 0D Bi nanospheres improve the conductivity of Bi nanospheres. Therefore, the ICFB with multi-dimensional Bi@C electrocatalyst exhibits coulombic efficiency of 98.10% and energy efficiency of 79.14% at 140 mA cm-2, which is higher than ICFBs with commercial graphite carbon electrocatalyst and with heat treatment carbon felt. This work provides a simple and economical method to fabricate a high-performance multidimensional Bi@C electrocatalyst for Cr3+/Cr2+redox couples, boosting the development of ICFBs.

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Heat transfer prediction modeling method combining threedimensional high-precision and one-dimensional real-time dynamic simulations

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Science China Technological Sciences 2025年第3期68卷 86-100页

作者： Xuanang ZHANG Ping YUAN Gequn SHU Xuan WANG Hua TIAN State Key Laboratory of Engines Tianjin University department of Thermal Science and energy engineering University of Science and Technology of China

Heat exchangers are the core components of energy transfer and conversion and are widely used in the energy,chemical, and other fields. In an actual operational process, load changes lead to variations in the operating conditions of the heat exchanger. Evaluating the heat-transfer performance is crucial for the safe and efficient operation of the system. To realize high-precision heat transfer prediction through simulations, instead of using traditional solid equipment, this study proposed a heat transfer prediction modeling method that combines three-dimensional high-precision and one-dimensional real-time dynamic simulations. This method combines the high-precision advantage of three-dimensional simulation with the real-time advantage of one-dimensional simulation. To verify the feasibility of the modeling method, a heat transfer prediction model was constructed based on the heat transfer channel structure of a CO2mixture heat transfer characteristic experimental test *** steady-state and dynamic heat transfer characteristics of CO2/R32 mixtures were simulated and experimentally ***, the real-time operational capability of the heat transfer prediction model was verified using a real-time simulator. The results showed that the heat transfer prediction model modeling method proposed in this study could improve the accuracy by 1.75–4.64 times compared with the conventional one-dimensional dynamic model. The established heat transfer prediction model exhibited good accuracy for both dynamic and steady-state processes. The average relative errors with the experimental results were in the range of 0.91%–2.83% under six sets of experimental tests. Thus, the proposed heat transfer prediction model can predict the heat transfer process in real-time under all experimental heat source conditions.

关键词： heat transfer prediction model CO2 mixture heat exchanger real-time simulation

Improving performance of perovskite solar cells enabled by defects passivation and carrier transport dynamics regulation via organic additive

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Chinese Chemical Letters 2025年第2期36卷 551-556页

作者： Rongjun Zhao Tai Wu Yong Hua Yude Wang department of Physics Center for Optoelectronics Engineering ResearchYunnan University Yunnan Key Laboratory for Micro/Nano Materials&Technology International Joint Research Center for Optoelectronic and Energy MaterialsSchool of Materials and EnergyYunnan University Yunnan Key Laboratory of Carbon Neutrality and Green Low-carbon Technologies Yunnan University

Defects at the grain boundaries(GBs) of perovskite film highly restrict both the efficiency and stability of perovskite solar cells(PSCs). Herein, organic small molecules of butanedioic acid(BA) and acetylenedicarboxylic acid(AA), containing two carbonyl(C=O) groups and different core-units, were incorporated into perovskite as additives for PSCs application. Thanks to the strong coordination interaction between C=O group and under-coordinated Pb2+, the additives can effectively passivate film defects and regulate the perovskite crystallization, yielding high-quality perovskite films with lower defect densities. More importantly, the additives can efficiently regulate the charge transport behaviors in PSCs. Benefiting from the defects passivation and the regulation of charge carrier dynamics, the BA and AA-treaded PSCs show the power conversion efficiencies of 21.52% and 20.50%, which are higher than that of the control device(19.41%). Besides, the optimal devices exhibit a remarkable enhanced long-term stability and moisture tolerance compared to the pristine devices. Furthermore, the transient absorption spectrum reveals the mechanism of enhanced photovoltaic performances, attributing to the improvement of charge transport capability at the perovskite/Spiro-OMeTAD interfaces. This work affords a promising strategy to improve the efficiency and stability of PSCs through regulating the charge-carrier dynamic process in perovskite film.

关键词： Additives Carrier dynamics Defects passivation Perovskite solar cells Stability

Nonlinear forced vibration in a subcritical regime of a porous functionally graded pipe conveying fluid with a retaining clip

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 101-122页

作者： M.GHOLAMI M.EFTEKHARI department of Mechanical engineering Shahid Bahonar University of Kerman

This study examines the nonlinear behaviors of a clamped-clamped porous pipe made of a functionally graded material(FGM) that conveys fluids and is equipped with a retaining clip, focusing on primary resonance and subcritical dynamics. The nonlinear governing equations for the FGM pipe are derived by the extended Hamilton's principle, and subsequently discretized through the application of the Galerkin *** direct method of multi-scales is then used to solve the derived equations. A thorough analysis of various parameters, including the clip stiffness, the power-law index, the porosity, and the clip location, is conducted to gain a comprehensive understanding of the system's nonlinear dynamics. Through the analysis of the first natural frequency, the study highlights the influence of the flow velocity and the clip stiffness, while the comparisons with metallic pipes emphasize the role of FGM composition. The examination of the forced response curves reveals saddle-node bifurcations and their dependence on parameters such as the detuning parameter and the power-law index, offering valuable insights into the system's nonlinear resonant behavior. Furthermore, the frequency-response curves illustrate the hardening nonlinearities influenced by factors such as the porosity and the clip stiffness, revealing nuanced effects on the system response and resonance characteristics. This comprehensive analysis enhances the understanding of nonlinear behaviors in FGM porous pipes with a retaining clip, providing key insights for practical engineering applications in system design and optimization.

关键词： functionally graded material (FGM) pipe conveying fluid O175.2 porosity primary resonance retaining clip subcritical regime

Research on the application of the parameter freezing precise exponential integrator in vehicle-road coupling vibration

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Applied Mathematics and Mechanics(English Edition) 2025年第2期46卷 373-390页

作者： Yu ZHANG Chao ZHANG Shaohua LI Shaopu YANG State Key Laboratory of Mechanical Behavior and system Safety of Traffic engineering Structures Shijiazhuang Tiedao University department of engineering Mechanics Shijiazhuang Tiedao University Hebei Research Center of the Basic Discipline engineering Mechanics Shijiazhuang Tiedao University

The vehicle-road coupling dynamics problem is a prominent issue in transportation, drawing significant attention in recent years. These dynamic equations are characterized by high-dimensionality, coupling, and time-varying dynamics, making the exact solutions challenging to obtain. As a result, numerical integration methods are typically employed. However, conventional methods often suffer from low computational efficiency. To address this, this paper explores the application of the parameter freezing precise exponential integrator to vehicle-road coupling models. The model accounts for road roughness irregularities, incorporating all terms unrelated to the linear part into the algorithm’s inhomogeneous vector. The general construction process of the algorithm is detailed. The validity of numerical results is verified through approximate analytical solutions (AASs), and the advantages of this method over traditional numerical integration methods are demonstrated. Multiple parameter freezing precise exponential integrator schemes are constructed based on the Runge-Kutta framework, with the fourth-order four-stage scheme identified as the optimal one. The study indicates that this method can quickly and accurately capture the dynamic system’s vibration response, offering a new, efficient approach for numerical studies of high-dimensional vehicle-road coupling systems.

关键词： vehicle-road coupled dynamics dynamic response parameter freezing precise exponential integrator Newmark-beta integration O242

Optimizing battery deployment: Aging trajectory prediction enabling homogenous performance grouping

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Journal of energy Chemistry 2025年第1期100卷 565-577页

作者： Shuquan Wang Feng Gao Zhan Ma Hao Tian Yusen Zhang School of Control Science and engineering Shandong UniversityJinan 250061ShandongChina Key Lab of Power system Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061ShandongChina

As battery deployments in electric vehicles and energy storage systems grow, ensuring homogeneous performance across units is crucial. We propose a multi-derivative imaging fusion(MDIF) model, employing advanced imaging and machine learning to predict battery aging trajectories from minimal initial data, thus facilitating effective performance grouping before deployment. Utilizing a derivative strategy and Gramian Angular Difference Field for dimensional enhancement, the MDIF model uncovers subtle predictive features from discharge curve data after only ten cycles. The architecture includes a parallel convolutional neural network with lateral connections to enhance feature integration and *** on a self-developed dataset, the model achieves an average root-mean-square error of 0.047 Ah and an average mean absolute percentage error of 1.60%, demonstrating high precision and *** robustness is further validated through transfer learning on two publicly available datasets, adapting with minimal retraining. This approach significantly reduces the testing cycles required, lowering both time and costs associated with battery testing. By enabling precise battery behavior predictions with limited data, the MDIF model optimizes battery utilization and deployment strategies, enhancing system efficiency and sustainability.

关键词： Lithium-ion battery Battery prognostics Fusion model Convolutional neural network Transfer learning

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