bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the Impact of H2 Diffusion Energy on the Formation Efficiency of H2 on the Interstellar Dust Grain Surface
Authors: Guo Xiaoying , Iqbal Wasim , Chang Qiang , Li Xiao-Hu 
Published: August 2024

Abstract
We use microscopic Monte Carlo simulation techniques to investigate the impact of H2 diffusion energy on the recombination efficiency of H2 on interstellar dust grain surfaces under diffuse and translucent cloud conditions. We constructed five models representing different possible conditions encountered by adsorbed H and H2 on interstellar dust grains. We implemented adsorption sites with multiple binding energies for surface species; the Encounter-Desorption mechanism was also included. The study focused on silicate surfaces in diffuse clouds and water ice surfaces in translucent clouds. The results show that the recombination efficiency of H2 on dust surfaces decreases as H2 diffusion energy increases. An interesting finding of this work is that considering different binding sites for H and H2 gives rise to multiple steady phases, during which the recombination efficiency remains constant with a change in H2 diffusion energy.
Diagnosing inertial confinement fusion ignition
Authors: Moore A.S. , Divol L. , Bachmann B. , Bionta R. , Bradley D. , Casey D.T. , Celliers P. , Chen H. , Do A. , Dewald E. , Eckart M. , Fittinghoff D. , Frenje J. , Gatu-Johnson M. , Geppert-Kleinrath H. , Geppert-Kleinrath V. , Grim G. , Hahn K. , Hohenberger M. , Holder J. , Hurricane O. , Izumi N. , Kerr S. , Khan S.F. , Kilkenny J.D. , Kim Y. , Kozioziemski B. , Lemos N. , MacPhee A.G. , Michel P. , Millot M. , Meaney K.D. , Nagel S. , Pak A. , Ralph J.E. , Ross J.S. , Rubery M.S. , Schlossberg D.J. , Smalyuk V. , Swadling G. , Tommasini R. , Trosseille C. , Zylstra A.B. , Mackinnon A. , Moody J.D. , Landen O.L. , Town R. 
Published: August 2024

Abstract
Fusion ignition by inertial confinement requires compression and heating of the fusion fuel to temperatures in excess of 5 keV and densities exceeding hundreds of g/cc. In August 2021, this scientific milestone was surpassed at the National Ignition Facility (NIF), when the Lawson criterion for ignition was exceeded generating 1.37MJ of fusion energy (Abu-Shawareb et al 2022 Phys. Rev. Lett.
129 075001), and then in December 2022 target gain >1 was realized with the production of 3.1MJ of fusion energy from a target driven by 2.0MJ of laser energy (Abu-Shawareb et al 2024 Phys. Rev. Lett.
132 065102). At the NIF, inertial confinement fusion research primarily uses a laser indirect drive in which the fusion capsule is surrounded by a high-Z enclosure (‘hohlraum’) used to convert the directed laser energy into a symmetric x-ray drive on the capsule. Precise measurements of the plasma conditions, x-rays, γ-rays and neutrons produced are key to understanding the pathway to higher performance. This paper discusses the diagnostics and measurement techniques developed to understand these experiments, focusing on three main topics: (1) key diagnostic developments for achieving igniting plasmas, (2) novel signatures related to thermonuclear burn and (3) advances to diagnostic capabilities in the igniting regime with a perspective toward developments for intertial fusion energy.
Simulation and analysis of the detection effect of seafloor shallow thermal origin gas release by marine resistivity method
Authors: Cai Yongrui , Guo Xiujun , Wu Jingxin 
Published: August 2024

Abstract
Thermogenic gas is the main type of gas in the shallow seabed, and its release process is the main cause of the greenhouse effect and gas-induced geological disasters. Due to the lack of effective detection methods, the release process of thermogenic gas in shallow seabed sediments is not clear. Based on the phenomenon of thermogenic gas escape near the Yinggehai Lingtou area, this paper constructs a geoelectric model of thermogenic gas release under different gas saturation conditions, conducts numerical simulations using a novel marine resistivity method, and further compares and analyzes the results. The results show that the marine resistivity method can identify characteristics of sediment with lower gas saturation, and the characterization of gas release morphology is better in the lateral direction than in the vertical direction. With the increase of gas saturation, the abnormal features of the profile are enhanced, and the characterization of gas position and size boundaries is more accurate.
Estimation of lithium battery state of charge based on N-order EKF
Authors: Chen Xiaohui , Zhou Jun , Wang Fuhong , Yang Tianqi , Jiang Chao 
Published: August 2024

Abstract
To address the issue of the Extended Kalman Filter (EKF) algorithm ignoring higher-order terms during nonlinear transformations near the estimated state point, resulting in errors in State of Charge (SOC) estimation, the author established a second-order RC equivalent circuit model. Additionally, an impulse characteristic experiment was conducted to identify the internal parameters of the model offline. The SOC of lithium batteries can be tracked and estimated using the EKF algorithm, which has been enhanced by integrating the high-order expansion of the Taylor formula. Matlab simulation results confirm that the N-order EKF algorithm has better robustness and convergence than lower-order EKF algorithms, with a Mean Absolute Error (MAE) of less than 0.5% in dynamic and static battery estimation.
Cu-intercalated MnO2 cathode with high-capacity for aqueous zinc-ion batteries
Authors: Zhou Wei , Liang Zengteng , Liu Weidong , Chi Yonglei , Wang Wenbo , Zhao Long , Chen Wanjun 
Published: August 2024

Abstract
To enhance both the electrical conductivity and long-term stability of manganese dioxide (MnO2) as the cathode of AZIBs, a stabilized cathode of Cu-intercalated MnO2 was designed in this paper. Tests showed that the Cu-MnO2 electrode possessed a smaller polarization voltage with higher reversibility. The capacity of Cu-MnO2 was 356.2 mAh g−1, which was higher compared to the capacity of original MnO2 (255.6 mAh g−1) under 100 mA g−
1. Furthermore, the Cu-MnO2 possesses a capacity retention of 65.9% even after 100 turns under 100 mA g−1. This work may provide important insights into the development of AZIBs.
Automatic detection and classification of defects in boiler pressure vessels based on simulated annealing algorithm
Authors: Wang Min 
Published: August 2024

Abstract
In recent years, frequent incidents of pressure vessel explosions have posed a serious threat to national construction and the safety of people’s lives and property to a certain extent. Boiler pressure vessels are a type of special equipment that can pose safety hazards during long-term operation. Therefore, it is necessary to carry out proper inspection of boiler pressure vessels. However, conventional inspection methods can not only affect the normal operation of the boiler, but also cause wear and tear to the boiler. Human factors are the main reason affecting the regular inspection and defect handling results of boiler pressure vessels in the power workshop of smelters. The existing methods for handling common defects mainly rely on the experience of maintenance personnel, and cannot accurately handle internal defects of boiler pressure vessels. To achieve accurate identification of defects in boiler pressure vessels, and improve the precision and detection efficiency of defect assessment, this paper proposes an automatic detection and classification method for boiler pressure vessel defects based on a simulated annealing algorithm (SAA). This method utilizes SAA optimized support vector machine (SVM) classifier to achieve efficient automatic detection and classification of boiler pressure vessel defects. The experimental results show that this method greatly improves the detection efficiency of boiler pressure vessel defects, and has good performance and application value.
Constant power adaptive control of photovoltaic generator unit considering equivalent charge state
Authors: Zhang Yan , Su Huaying , Wang Rongrong , Wang Mingqing , He Xianqiang , Wang Ning 
Published: August 2024

Abstract
To address the impact of factors such as light intensity, temperature, equipment aging, and faults on the power output stability of photovoltaic power generation units during operation, a constant power adaptive control method for photovoltaic power generation units based on equivalent charge state is proposed. By real-time monitoring of the output voltage, current, and other parameters of photovoltaic power generation units, we calculate their current equivalent charge state. Based on the changes in the equivalent charge state, the control strategy of the photovoltaic power generation unit is adaptively adjusted, and the harmonic distortion rate weight is calculated by using the entropy method to control the fluctuation of the system output power. We analyze the power generation under harmonic constraints to construct a photovoltaic generator system model. The experimental results show that under the equivalent charge state, photovoltaic power generation units can achieve constant power output while improving the operational efficiency and stability of the system. Compared with traditional control methods, the method proposed in this article not only improves the stability of the power output of photovoltaic generators but also extends the service life of batteries and reduces maintenance costs.
Research on the influence of core plate joint surface type on the vibration performance of acoustic black hole sandwich panels
Authors: Zhang Jinguang , Qiu Judong , Wu Shengti , Wang Da , Wen Xianglong 
Published: August 2024

Abstract
Acoustic Black Holes (ABH) have good manipulation properties for bending waves, which can be used as a new idea for structural vibration damping. In this paper, an ABH sandwich panel structure is designed by combining the lightweight and high specific strength characteristics of carbon fiber composites, and its vibration transmission characteristics are discussed by using the finite element method. Finally, the reliability of the simulation analysis and the influence of the structural type of the sandwich panel’s joint surface on its vibration performance are verified by the experimental test. The study shows that in the frequency band of 0-1200 Hz, the simulation analysis and the experimental test results are basically fitted, and the concave joint surface has a better low-frequency vibration-damping effect compared with the convex joint surface structure.
Research on key technologies of finite element flow field in airflow drying process analysis
Authors: Yang Guanglu , Wei Xinfeng , Yang Xuehui , Li Zhangji , Cui Jianhua , Zhang Bao , Zhang Dehai 
Published: August 2024

Abstract
CTD is a type of tower wire baking equipment that uses a constant water discharge design to lower the drying temperature of tobacco from 230°C of conventional equipment to 160°C. It can reduce the heat treatment strength of the tobacco and improve the quality of tobacco after drying effectively. However, the stability of the system gradually decreases as the service life of the system increases. In particular, the dehydration ability of the wire dryer system is greatly diminished, and its fluctuation is large. Additionally, the moisture standard of the outlet pipe is excessively high, and the feeding system becomes more frequently blocked. All of these factors have an impact on the production efficiency and product quality of the workshop. The use of finite element flow field analysis technology allows for the numerical simulation of the proportion of the CTD drying section. When combined with the actual production, it can analyze the key factors influencing the flow field and optimization improvement. This ultimately strengthens the stability of the CTD tower dryer system, enhances product quality, and increases production efficiency, providing strong assurances for the development of high-quality workshops.
Discussion on the product model technology of XPS foam plastic
Authors: Yan Hu 
Published: August 2024

Abstract
The utilization of XPS foam in model production has demonstrated significant improvements in both the production level and the overall understanding of the model. Hence, this paper aims to delve into the characteristics and production status of XPS foam, analyze the corresponding production processes and methods, identify the challenges encountered during model production, and propose suitable countermeasures. Additionally, this study aims to evaluate the feasibility of integrating XPS foam into product design for models, while providing valuable insights for XPS foam production and research.
Flexible job-shop scheduling problem based on Markov state decision process
Authors: Zhang Yan , Li Yibing 
Published: August 2024

Abstract
For flexible job shop scheduling (FJSP), this paper aims to minimize the maximum completion time and maintenance cost. Therefore, a flexible job shop production model based on a degraded state is proposed to realize the joint decision of scheduling and machine preventive maintenance. The machine state is modeled as a discrete multi-state degradation process through a continuous-time Markov chain, and a preventive maintenance strategy is developed based on the predicted state. To improve the solving efficiency, the MTSNSGA-II algorithm is designed, which integrates NSGA-II and hybrid tabu search and significantly improves the convergence speed of the algorithm. Finally, we use ten benchmark examples of the Brandimarte series for simulation experiments and analyze them using line and box charts. The experimental results show that the MTSNSGA-II algorithm performs well in both the IGD and HV indexes, verifying its effectiveness and superiority in the FJSP problem.
Commercial vehicle disc brake temperature prediction model construction based on machine learning
Authors: Han Jinliang , Ling He , Sun Xiao , Zou Lin 
Published: August 2024

Abstract
The process of conducting thermal-mechanical coupling finite element analysis for commercial vehicle disc brakes is both complex and time-consuming. Moreover, real vehicle testing conditions are diverse, and there are limitations in data collection, impeding a comprehensive understanding of the entire braking process. A pioneering approach is proposed, blending thermal-mechanical coupling finite element simulation with machine learning algorithms, to construct an innovative model for predicting brake temperatures. Employing advanced machine learning algorithms: Random Forest, XGBoost, and CatBoost, the study successfully developed a highly accurate model for predicting the temporal temperature variations at special nodes. The model was evaluated against four quantitative benchmarks, revealing that the Random Forest-based model stands out in terms of both accuracy and stability.
Research on the effect of laser parameters on the ultrafast laser processing of PMMA microgrooves
Authors: Wang Yuxiang , Li Guo , Song Chengwei , Chen Qianjun , Zhang Chunyu , Huang Yandi 
Published: August 2024

Abstract
Polymethyl methacrylate (PMMA) is a common synthetic polymer with high transparency, good mechanical strength, weather resistance, etc. It is widely used in scientific research and engineering applications. Good processing properties also make it a favorite among researchers in the field of laser processing. In this paper, acrylic is used as the workpiece, and a 535nm nanosecond laser and 800nm femtosecond laser are used for microgroove processing. Through experimental analysis, the effect and variation pattern of different parameters of the two lasers on the microflute depth and width are compared. These results will support and guide the development of more sophisticated microstructure processing techniques for PMMA.
Analysis of bending and torsional vibration characteristics of rotor under the influence of air gap eccentricity-rub impact coupling fault
Authors: Wang Xinrou , Zhu Rui , Wang Xuechao 
Published: August 2024

Abstract
Considering the challenges posed by air gap compound eccentricity fault and rubbing fault in gas turbine generator groups, we undertake an analysis of the air gap magnetic field variation in the presence of air gap compound eccentricity. Leveraging the energy method of the air gap magnetic field, we establish a model for an unbalanced magnetic pulling force induced by air gap compound eccentricity. Concurrently, we develop a dynamic model for rotor rubbing fault, from which we derive the expression for rubbing force. Subsequently, we formulate the dynamic equations governing rotor systems afflicted with both unbalanced magnetic pull fault and rub-impact fault. Employing the 4-order Runge-Kutta method, we investigate the impact of mass eccentricity, static eccentric parameters, and dynamic eccentric parameters on the system’s dynamic response. Our findings reveal that mass eccentricity mitigates the impact of an unbalanced magnetic pulling force on the system. Additionally, the introduction of dynamic and static compound eccentricity significantly alters the system’s dynamic characteristics, leading to an increase in the components of multiple frequency doubling. These outcomes serve as a theoretical foundation for the design of rotor system structures and fault diagnosis methodologies.
Effect of laser shock peening on the surface integrity and wear performance of carburized and quenched gear steel
Authors: Chen Chao , Lu Jinsheng , Shi Lubing , Wang Dongfei , Liu Zhongming , Zhi Yanfeng 
Published: August 2024

Abstract
To explore the effects of Laser Shock Peening (LSP) processing on the surface integrity and wear performance of carburized and quenched gear steel, laser energy, and spot diameter were selected as variable parameters, and five laser power density processing parameters were constructed to perform LSP on carburized and quenched 18CrNiMo7-6 gear steel. Surface roughness, surface hardness, hardness gradient, and residual stress were tested, and the tooth surface wear rate before and after LSP was compared through theoretical calculations. LSP has less impact on surface roughness. Laser power density is within 9.4 GW·cm−2~10.2 GW·cm−2, and LSP can slightly reduce the surface roughness value. LSP can improve the surface hardness and cross-section hardness within a certain depth, and the improvement effect increases with the increase of laser power density. The residual compressive stress value with the increase of laser power density shows a trend of decrease after the first increase and reaches the maximum value at the laser power density of 9.4 GW/cm−2. Adopting a suitable LSP processing can improve the wear resistance of gear tooth surfaces. The wear rate of the gear tooth surface at the engage-in position has decreased to the largest, and the decrease is about 18%.
Synthesising two-dimensional mammographic images using compressed sensing-reconstructed digital breast tomosynthesis images
Authors: Han Seohee , Yang Hyesun , Xu Wenting , Seo Changwoo , Cho Hyosung , Cha Bo Kyung 
Published: August 2024

Abstract
This study presents a method synthesizing a two-dimensional
(2D) mammographic image of reasonable quality directly from a 3D
digital breast tomosynthesis (DBT) image, reconstructed using an
advanced compressed sensing (CS)-based algorithm. This approach aims
to reduce the radiation dose required for complementary imaging
technologies of digital mammography (DM) and DBT, eliminating the
need for additional DM examinations. The method involves three main
steps: projection data acquisition from a DBT system, CS-based DBT
reconstruction, and synthesis of a 2D mammographic image from the
reconstructed DBT image. To verify the efficacy of the proposed
method, we conducted both a simulation and an experiment on a
numerical breast and commercially available BR3D phantoms,
respectively, prior to practical implementation in real-world DBT
systems. Our simulation and experimental results indicated that the
CS-based algorithm yielded markedly improved DBT reconstruction
quality, preserving superior image homogeneity, better edge contour
and sharpening, and fewer image artifacts. The measured
contrast-to-noise ratio and structural similarity values of the
CS-reconstructed DBT images were 10.31 and 0.78, respectively, which
were approximately 2.2 and 3.1 times larger, respectively, than
those of the filtered-backprojection-reconstructed DBT images in the
simulation. The quality of the synthetic mammographic images using
the CS-reconstructed DBT images was similar to that of conventional
mammographic images obtained using a full dose, indicating the
efficacy of the proposed method. Consequently, we successfully
reconstructed DBT images of substantially high quality using the
CS-based algorithm and synthesised 2D mammographic images of
reasonable quality, potentially reducing the radiation dose to
patients in the complementary imaging technologies of DM and DBT.
Cotton wool-like ion-doped bioactive glass nanofibers: investigation of Zn and Cu combined effect
Authors: Unalan Irem , Rimoli Ian Heit , Mutlu Nurshen , Michálek Martin , Abraham Gustavo A , Liverani Liliana , Boccaccini Aldo R 
Published: August 2024

Abstract
Electrospinning is a versatile and straightforward technique to produce nanofibrous mats with different morphologies. In addition, by optimizing the solution, processing, and environmental parameters, three-dimensional (3D) nanofibrous scaffolds can also be created using this method. In this work, the preparation and characterization of bioactive glass (BG) scaffolds based on the SiO2–CaO sol–gel system, a biomaterial with a highly reactive surface, is reported. The electrospinning technique was combined with sol–gel methods to obtain nanofibrous 3D cotton wool-like scaffolds. The addition of zinc and copper ions to the silica-calcia system was examined, and the influence of these ions on the material properties and characteristics was investigated by various characterization techniques, from morphological and chemical properties to antibacterial and wound closure capability, cell viability and ion release. Our findings show that the cotton wool-like ion-doped nanofibers are promising for wound healing applications.