bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sulfur-Coated RGO Composite Synthesized via a Rapid Heating Method for Li-S Battery Application
Authors: shastri Mahesh , Marilingaiah Navyarani , Muniyappa Murthy , Shetty Manjunath , Roy Kunal , Rangappa Dinesh 
Published: December 2024

Abstract
Lithium-sulfur (Li-S) batteries has gained a lot of attention because of its high energy density (2567 Whkg−1), great earth abundance, and low impact on the environment. The excellent theoretical performance of Li-S batteries is compromised by major technical challenges like low sulfur utilization rate, reduced columbic efficiency, and poor cycling stability due to the insulating nature of sulfur and the shuttle effect of soluble lithium polysulfides. To overcome these concerns, herewith, made an attempt to synthesise Sulfur -reduced graphene oxide (S-RGO) nanocomposite by rapid fast heating technique. Using the solution-based rapid heating method, sulfur nanoparticles uniformly distributed on graphene oxide network. Furher, deployed in fabricating Li-S cathode. The S-RGO composite with 80 wt% sulfur exhibits promising results. Initially, at 0.05 C rate discharge current shows 1230 mAh/g capacity and at 0.1 C rate shows 1085 mAh/g. After 50 cycles, the capacity was retained with 1030 mAh/g at 0.05C and 957 mAh/g at 0.1C. This suggests that the the synthesised Li-S nanocomposite exhibit good capacity at higher current rate with greater sulfur content.&#xD;
Quantum features of the transport through ion channels in the soft knock-on model
Authors: Polakowski Mateusz , Panfil Miłosz 
Published: December 2024

Abstract
Ion channels are protein structures that facilitate the selective passage of ions across the membrane cells of living organisms. They are known for their high conductance and high selectivity. The precise mechanism between these two seemingly contradicting features is not yet firmly established. One possible candidate is the quantum coherence. In this work we study the quantum model of the soft knock-on conduction using the Lindblad equation taking into account the non-hermiticity of the model. We show that the model exhibits a regime in which high conductance coexists with high coherence. Our findings second the role of quantum effects in the transport properties of the ion channels.
Analysis of Biasing from Noise from the Nancy Grace Roman Space Telescope: Implications for Weak Lensing
Authors: Laliotis Katherine , Macbeth Emily , Hirata Christopher M. , Cao 开力 Kaili 曹 , Yamamoto Masaya , Troxel Michael 
Published: December 2024

Abstract
The Nancy Grace Roman Space Telescope, set to launch in 2026, will bring unprecedented precision to measurements of weak gravitational lensing. Because weak lensing is an inherently small signal, it is imperative to minimize systematic errors in measurements as completely as possible; this will ensure that the lensing measurements can be used to their full potential when extracting cosmological information. In this paper, we use laboratory tests of the Roman detectors, simulations of the Roman High Latitude Survey observations, and the proposed Roman image combination pipeline to investigate the magnitude of detector read noise biasing on weak lensing measurements from Roman. First, we combine lab-measured detector noise fields with simulated observations and propagate these images through the Roman image combination pipeline, Imcom. We characterize the specific signatures of the noise fields in the resultant images and find that noise contributes to the combined images most strongly at scales relevant to physical characteristics of the detector including PSF shape, chip boundaries, and roll angles. We then measure shapes of simulated stars and galaxies and determine the magnitude of noise-induced shear bias on these measurements. We find that star shape correlations satisfy the system noise requirements as defined by the Roman Science Requirements Document. However, for galaxies fainter than m
AB ≃ 24, correction for noise correlations will be needed in order to ensure confidence in shape measurements in any observation band.
Enhancing Artillery System Analysis through Innovative Neural Networks: A Comparative Study of Kolmogorov–Arnold Networks in Fourier Operators
Authors: Tao Liu , Linfang Qian , Chen Liang 
Published: December 2024

Abstract
Many problems in artillery systems can be described using partial differential equations (PDEs), and engineers need to repeatedly adjust the design object to meet the requirements of the design phase. Therefore, an efficient PDEs solver is needed during the design phase. PDEs solvers based on deep learning, especially neural operators, can meet this requirement. However, neural operators use multi-layer perceptrons (MLP) to project data features onto the output dimension, and MLP lack interpretability, often face overfitting and gradient vanishing, and lack scalability. Kolmogorov–Arnold Networks (KAN) has recently been introduced and is considered a potential alternative to MLP. Based on this, KAN are used to construct Fourier Kolmogorov–Arnold Neural Operators (FKANO) for solving forward and inverse problems in artillery engineering. Especially in the three tasks of approximation, partial differential equation solving, and building surrogate models, the proposed FKANO and FNO were compared. It was found that although robustness during the training process is lacking in FKANO, performance comparable to or even surpassing that of FNO can still be achieved. The proposed new neural network is believed to have the potential to advance the development of artillery engineering analysis.
Simulation and optimization of a replenishment device for chainless ammunition feeding system
Authors: Guo Gaofeng , Li Zhong , Hou Yong , Yang Dewu , Cui Haohao , Tan Hui 
Published: December 2024

Abstract
In order to improve the efficiency of rapid replenishment of chainless ammunition feeding system, the dynamics simulation analysis of the movement relationship between the driving sprocket and the shell and the handover relationship between the toggle wheel and the shell in the replenishment device is carried out for the replenishment device of chainless ammunition feeding system as an object. Firstly, based on multi-body dynamics theory and contact collision theory, the dynamics model of the reloading device is established by using multi-body dynamics analysis software RecurDyn, and the simulation and optimization are carried out on the tooth profile shape of the sprocket wheel and the movement path of the shell in the reloading device; Secondly, using the multi-objective optimization method, the key parts of the reloading device were strength-checked and parameter-optimized using the finite element analysis software Workbench. The simulation and optimization results show that the change rate of the movement speed of the shell is 5.01%, and the change rate of the handover speed between the toggle wheels is 6.46%, and the movement of the shell is relatively smooth, which can meet the engineering requirements; The correctness of the model and the feasibility of the optimization are verified, and the key parts of the recharge device achieve a weight reduction of 59.23% after the optimization, which provides a certain reference for the subsequent optimization of the recharge device structure.
Investigation of a vector-controlled dual 5-phase motor driving system in artillery automatic loading applications
Authors: Zhu Jianlong , Tong Minghao , Wang Zhe , Chen Longmiao , Xu Zhiyuan 
Published: December 2024

Abstract
In order to improve the safety, reliability and fault-tolerant ability of the drive system in artillery automatic loading applications, the control method of a direct-motor-drive rotary manipulator is presented based on a dual 5-phase flux-switching permanent-magnet machine. The mathematical model is established according to the circuit topology firstly. Then, the dual 5-phase vector control strategy under normal condition and active-fault-tolerant condition is adopted. Simulation results show that the motor can effectively accomplish the drive task under normal or fault-tolerant condition. It is verified that the dual 5-phase shift 9° flux-switching permanent-magnet machine has strong adaptability and fault tolerant ability in the high-load and low-speed scenarios represented by the artillery automatic loading system.
A framework for multi-UAV task allocation and path planning in complex urban environments
Authors: Hu Shengrong , Wang Qiang , Li Yixian , Wang Fei 
Published: December 2024

Abstract
The complexity of urban combat environments, the coupling of task allocation and path planning, and the existence of dynamic targets significantly increased the complexity of coordinated UAV swarm attack tasks. In this work, we proposed a multi-UAV task allocation and path planning framework inspired by the collaborative hunting behaviour of wolf packs. This framework was based on a multi-target k-winner-take-all (k-WTA) algorithm and an improved grey wolf optimization (GWO) algorithm. Firstly, for the multi-task allocation problem in unknown environments, a multi-objective k-WTA algorithm was used for task allocation based on the competition mechanism, which realized fast task allocation in dynamic environments. Then, the advantages of GWO and genetic algorithm (GA) were combined through GA-WPO to overcome the random initialization problem of GWO by using GA as an initialization generator. A path planner based on GA-WPO was proposed to enable multi-UAVs to reach the target point safely in complex urban environments. Finally, the proposed path planner was used for multi-UAV path planning, and the effectiveness of the method was verified by a set of simulation experiments, which showed that the method better solved the coupling problem of path planning and task assignment for UAV swarm coordinated attack tasks.
Rapid Coupling Analysis Model of Thermal Protection and Thermal Control for Electronic Equipment Cabin of High Speed Vehicles
Authors: Ma Fuqiang , Wang Feng , Wang Sheng , Li Xianglin , Li Yuan 
Published: December 2024

Abstract
In view of the serious problem of aerothermal “penetration” effect and equipment thermal accumulation effect in the electronic equipment cabin under long endurance and high speed flight conditions, this paper establishes thermal network models for thermal protection analysis and thermal control analysis based on lumped parameter principle, and verifies the validity of the thermal network models. Combined with thermal protection analysis model and thermal control analysis model, the thermal network model for coupling analysis of thermal protection and thermal control of electronic equipment cabin is established. And the necessity of establishing the coupling analysis model of thermal protection and thermal control is demonstrated. The thermal network model for coupling analysis of thermal protection and thermal control established in this paper takes only tens of seconds to analyse a single condition, and can well meet the requirements of calculation accuracy and calculation speed in the scheme stage of the high-speed vehicle. The research results are of great significance for the rapid iterative design of thermal management scheme in the scheme stage of high-speed vehicles.
Simulation of High Gradient Couette Flow in Narrow Gap Between Slipper and Rail on High Speed Rocket Sled
Authors: Zhang Chenhui , Li Xin , Pang Chao , Yang Yang 
Published: December 2024

Abstract
In order to study the flow problem inside the narrow gap of rocket sled slipper and rail, shock wave theory, supersonic boundary layer theory, and Couette flow theory were analyzed, and boundary layer thickness, velocity type, and temperature type formulas were obtained. By simulating the rocket sled slipper and rail model, flow characteristics were obtained at different Mach numbers. Research has shown that: (1) After the airflow enters the narrow gap between the slipper and the rail, a supersonic boundary layer is formed on the upper and lower walls of the leading edge, and converges at a certain point in the narrow gap. The thickness of the upper wall boundary layer is greater than that of the lower wall. As the Mach number increases, the thickness of the boundary layer slightly increases and the intersection point moves forward; (2) The velocity gradient and temperature gradient inside the upper and lower wall boundary layers are relatively large, while the velocity gradient and temperature gradient in the middle part of the narrow gap flow field are relatively small. As the Mach number increases, the velocity gradient on the lower wall increases, the velocity gradient on the upper wall decreases, and the temperature in the gap gradually increases; (3) The upper and lower velocity profiles of Couette flow are roughly symmetrically distributed around the matching point. The velocity gradient is large near the wall, but smaller than that of the leading edge boundary layer. The velocity of the middle section of the flow is lower than that of the middle section of the flow in the front of the narrow gap. The heat flux of Couette flow increases with the increase of Mach number, with a larger temperature gradient near the wall and a more uniform temperature distribution near the middle of the narrow gap.
Numerical investigation of the multi-physics coupling effect of supersonic projectile on the cross section of terminal ballistics
Authors: Shen Lingnan , Yang Ziyu , Chen Ding , Sun Haiyang 
Published: December 2024

Abstract
This study investigates the multiphysics effects the shock waves from the supersonic projectile on the cross section of its terminal ballistics, and this purpose is to effectively extract attitude information of projectiles in terminal ballistics。Firstly, the acoustic effects are used to study the propagation and attenuation laws of shock waves on the terminal ballistic plane, comparing the spectral characteristics of acoustic pressure signals and photoelectric signals; Secondly, through numerical simulations using COMSOL, the study analyses shock wave attenuation, refractive index changes, and pressure distribution at different Mach numbers. Results show that shock waves significantly affect the refractive index, which can be effectively detected using optical methods. The proposed method demonstrates improved accuracy over conventional techniques, particularly in capturing critical flight parameters of supersonic projectiles. This research lays the groundwork for developing advanced measurement techniques for hypersonic weapon systems, addressing current limitations in projectile detection and measurement accuracy.
Design of transient thin film heat flux sensor based on the transverse thermoelectric effect
Authors: Liu Songhan , Zhao Jiaxing , Wan Chen , Huang Yuxiang , Liu Zhipeng 
Published: December 2024

Abstract
Accurate heat flux measurement is critical for evaluating thermobaric elastic thermal damage, and acquiring heat flux at the time of explosion provides an important foundation for estimating damage sverity. To suit the test requirement, a transient thin film heat flux sensor (THFS) using the transverse thermoelectric effect was developed. The THFS offers the benefits of small size and rapid reaction time. The sensitive element of the THFS is made up of a lead telluride (PbTe) film, a sapphire substrate, gold electrodes, and a heat-absorbing coating. PbTe films were created on the sapphire surface using magnetron sputtering, and gold electrodes were grown on both sides of the film by electron beam evaporation. The THFS, which was evaluated for static and dynamic performance throughout a laser-generated heat flux range of 1.2-3.8 MW/m2, had its static performance test results revealing an excellent linear connection between the THFS response voltage and the laser applied heat flux, with a sensitivity of 1.40 μV/(kW/m2). The dynamic performance test, which demonstrated that THFS can get a full heat flux curve under the excitation of a low pulse width heat flux signal, showed a measured time constant of 10 μs. The novel heat flux sensor is intended for high reaction speed and dependability, providing a dependable new approach for measuring heat flux during thermobaric bomb explosions.
Research on the Spin-Stabilized Projectile Spin Drift of Recoilless rifle with Rifling
Authors: Ding Feng , Tao Gang , Wen Peng , Jiang Zhonghui , Ding Guipeng , Pang Chunqiao 
Published: December 2024

Abstract
The recoilless rifle with rifled barrels is a type of high-powered individual infantry weapon, boasting an effective firing range of up to 3,000 meters. Experiments have found that with the increase of firing range, the spin drift of spin-stabilized projectiles fired by recoilless rifle has seriously affected their shooting accuracy. In this paper, we study the influence of the drift effect of spin-stabilized projectiles on the impact point in the Recoilless rifle. The aerodynamic parameters of spinning projectiles were calculated using computational fluid dynamics method, and corresponding trajectory model was established to calculate drift. The reliability of ballistic model calculation was proved by comparison with experimental results. Combined with linearized swerving motion theory, some factors affecting drift were analyzed. The research results show that for low-speed spinning Projectile fired by recoilless rifles with Rifling, the influence of drift effect on impact point cannot be ignored. In addition, drift increases exponentially with dimensionless flight distance of Projectiles, and overturning moment coefficient and lift coefficient have significant effects on spin drift. The research outcomes will facilitate the effective completion of firing tables, thereby improving the shooting accuracy of recoilless rifle.
Rigid body modular modeling method for multiple reusable component weapon systems based on bond space theory
Authors: Gao Y F , Dai J S , Fu H , Liu Z L , Wu Y H 
Published: December 2024

Abstract
This article proposes a rigid body modular modeling method based on bond space theory. Aiming at the rigid components with the same characteristics that are heavily used in artillery weapon systems, the concept of bond space sub-model is proposed, and the rigid body module and constraint module are established and deduced. Considering the differences between ideal constraints and actual constraints such as gaps or heat losses, an elastic constraint bonding space module is proposed to improve the representation of ideal constraints. By combining bond space modules with the same characteristics and solving them, the process of analyzing complex systems will be greatly simplified. In addition, a study case of ammunition box feeding is presented to investigate the computational results of this modeling method; the analysis results show that this modeling method has good computational accuracy on the basis of improved computational efficiency.
ADPS: A Multi-sensor Assisted Driving Environmental Perception System for Edge Computing Devices
Authors: Li Haoyu , Li Hongbiao , Zhang Xiao , Zhang Yibin , Zhai Jiangwei , Lian Jing 
Published: December 2024

Abstract
In recent years, end-to-end neural networks have achieved a dominant position on various open-source autonomous driving datasets, especially in environment perception [1,2]. However, these networks are difficult to deploy due to high computational power requirements. Furthermore, many existing autonomous vehicles use edge computing devices with low computational power and the autonomous driving challenges for such vehicles are largely overlooked. In this paper, we propose an environmental perception system that includes vision-based panoramic perception and late-fusion-based 3D detection. It is suitable for vehicle-grade computing platforms with limited computational resources. Specifically, we first propose DFT-YOLOP, a dual-modal multitask network using visible light and infrared data trained on the BDD100K [3] and M3FD [4] datasets. The dataset tests demonstrate that, compared to numerous baseline networks, DFT-YOLOP offers a substantial improvement in road feature recognition, displays enhanced stability in adverse weather conditions, and delivers superior real-time performance during deployment. Secondly, we propose a late fusion algorithm that exploits the advantages of different sensors, including Vision-LiDAR Fusion Detection and Radar Data Enhancement. Finally, using the Assisted Driving Service Framework (ADSF) provided by the MDC 300F computing platform, we build the Assisted Driving Perception System (ADPS). Experiments in real road scenarios show that under the limited computational resources of MDC 300F, ADPS achieves high perception accuracy and real-time performance, meeting the perception requirements of autonomous driving under medium-speed driving conditions, which is of great significance for the improvement of the perception performance of autonomous driving vehicles using low-cost computational power platforms.
Research on the Influence of Cavities in Charge on the Formation and Penetration Performance of Jets
Authors: Zhang Xuepeng , Liu Yakun , Xu Can , Wang Yizhen , Yin Jianping 
Published: December 2024

Abstract
To investigate the effect of charge cavities on the formation and penetration of shaped charge warheads, we numerically simulate and calculate shaped charge warheads with different cavities using the finite element method. Combining theoretical analysis and numerical simulations, charge structure splitting was performed to obtain jet morphology and properties data for different cavity locations in both axial and radial dimensions. The mechanism of the effect of cavity position on detonation wave propagation, liner propellant, and jet formation processes in shaped charges is analyzed. It has been shown that charge cavities can change the propagation waveform of detonation waves. The effect of different cavity positions on the jet formation and penetration properties varies; Based on the detonation drive theory, a geometrical model was developed to investigate the effect of the charge cavity position on the jet velocity; The shaped charge warhead structure designed using this model can change the propagation path of the detonation wave, adjust the driving process of the shaped charge cover, and effectively increase the head velocity and penetration capacity of the jet. By studying the influence of the cavity on the driving and jet forming processes of the shaped charge cover, the results indicate that a model established by reasonably adjusting the charge cavity to improve the jet damage performance can provide a certain basis for further optimizing the design of the shaped charge structure.
Ignition characteristics of AlNi films with different modulation periods on TaN exchangers
Authors: Ren Xiao-Ming , Yao Hong-Zhi , Liu Hong-E , Xie Rui-Zhen , Yin Ming , Li Geng , Chu En-Yi 
Published: December 2024

Abstract
In order to reduce the ignition sensitivity of Al/Ni energy-bearing thin films, five kinds of Al/Ni energy-bearing thin films with different modulation periods were prepared by magnetron sputtering technology, and the transducer was prepared by integrating Al/Ni and TaN together by means of micro-electro-mechanical system technology. The surface topography and cross-section topography of Al/Ni energy-bearing thin films were characterized by scanning electron microscopy. The thermal reaction performance of Al/Ni energy-bearing thin films was detected and analyzed by differential scanning calorimetry. The ignition performance of Al/Ni@TaN was tested by capacitive ignition. The results showed that the Al/Ni energy-bearing thin films prepared by magnetron sputtering were tightly bonded. The temperature corresponding to the first exothermic peak of Al/Ni energy-bearing thin films showed increasing trend with the increase of modulation period. When the modulation period was 400nm, the minimum ignition voltage of Al/Ni@TaN transducer was 11V. When the modulation period was 800nm, the flame height of Al/Ni@TaN transducer was the highest under the condition of 25V and 33μf.