bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Structural Parameters of Piezoelectric Injection Valve Based on Model Experiment and CFD Simulation
Authors: She Junao , Chen Jian , Zhu Jianyang 
Published: February 2024

Abstract
The miniaturization of electronic devices requires a decreasing quality of adhesive points. In order to obtain the minimum defect free adhesive point for injection, this paper uses a combination of Taguchi experiment and CFD method to systematically study the influence of structural changes in the needle nozzle on the mass size of the adhesive point of the piezoelectric injection valve. The results indicate that the structural changes of the needle nozzle have a significant impact on the quality of the sprayed adhesive point. For the five types of needle and nozzle structures studied, when the nozzle size is 0.05mm and the needle size is 1.0mm, the adhesive produced by the injection valve is the smallest, and the minimum adhesive mass is 13.3% of the original injection valve (APJ1500) injection mass. Through CFD simulation, it was found that due to the smaller nozzle diameter of the optimal parameter combination during the valve opening stage, and the higher reflux ratio of the nozzle combination during the needle lowering stage, it can produce smaller adhesive mass.
Numerical Simulation Analysis and Experimental Verification of Pressure-resistant Self-compensating Oil Seal
Authors: Liu Chunrui , He Lidong , Chen Tao , Zhang Le 
Published: February 2024

Abstract
The glyd ring of the transmission device is prone to wear and leakage, which causes the sealing failure to cause the failure of the transmission device. Therefore, a pressure-resistant self-compensating oil seal is proposed in this research. The influence of working conditions such as pressure and rotational speed on its temperature is studied by the numerical simulation method. An experiment bench for oil seals is constructed and utilized to validate the simulation findings. The above research results can ensure the safe and stable operation of the transmission device seal for a long period. In this research, the effect of working conditions such as pressure and rotational speed on its temperature of the glyd ring and the pressure-resistant self-compensating oil seal is compared, and it is verified by the experiment results. The research results show that with the increase of pressure and rotational speed, the temperature of the two seals also increases. Under the same condition, the temperature of the pressure-resistant self-compensating oil seal is significantly lower than that of the glyd ring. The temperature rise of the pressure-resistant self-compensating oil seal can be reduced by about 27 % compared with the glyd ring.
Effects of Diamond Content on the Thermal Conductivity of Copper Matrix Composite Materials Prepared by Cold Spraying
Authors: Wu Dan , Chen Wenfu , Hu Qiang , Hu Qiang , Zhang Linwei , Liu Qi , Liu Jin , Huang Guojie , Jia Jingxuan , Zou Jin 
Published: February 2024

Abstract
With the increasing demand for rapid heat transfer in electronic packaging materials, quickly transferring the large amount of heat generated is an urgent problem that needs to be solved in current electronic information manufacturing. Diamond is added to copper based composite materials to further improve the thermal conductivity of electronic packaging materials. In this paper, copper matrix composite materials were selected as the research object, and the effects of diamond content on the microstructure and thermal conductivity were systematically investigated. As the content of copper plated diamond in the mixed powder increases, the proportion of copper plated diamond in copper based composite materials gradually increases, but the deposited copper plated diamond exhibits fragmentation phenomenon. Increasing the content of copper plated diamond leads to a rapid decrease in thermal conductivity, and subsequent process optimization and heat treatment are needed to unleash the thermal conductivity of diamond.
Research on Path Planning for Unmanned Surface Vessels Based on AIS Data
Authors: Qian Dongjin , Liu Haiqing , Wang Shengli , Zhang Shuo , Shi Jingyi 
Published: February 2024

Abstract
To address the issues of poor endpoint convergence and suboptimal path quality in global path planning for unmanned surface vessels (USVs), this paper proposes an endpoint-convergence oriented improved genetic algorithm based on AIS data. Firstly, utilizing a genetic algorithm with an endpoint-convergence objective function, a set of paths with strong endpoint convergence is selected. Secondly, to overcome the limitations of a single optimization algorithm, a multi-objective path planning approach is employed using a genetic algorithm, thereby improving the distance and trajectory smoothness in global path planning for unmanned ships. Finally, the planned paths are evaluated by comparing them with the real paths from AIS data. The simulation results demonstrate that the proposed method outperforms other traditional algorithms in terms of average path turn count and turn angle, reducing them by an average of 35.41% and 35.72%, respectively. Moreover, the proposed method exhibits the smallest error compared to the real trajectories, with an average reduction of 18.26%. These results validate the effectiveness and rationality of the proposed approach in improving path quality, reducing path turn count, and achieving better alignment with actual trajectories.
Simulation and Application of Windowing for High-Grade Steel Thick-Wall Casing in Ultradeep Wells: A Case Study of ST102 Well
Authors: Zhang Guangfu , Tang Ming , He Shiming , Wang Shuangning , Jing Yadong , Liu Xiaoshen , Liu Dong 
Published: February 2024

Abstract
Windowing processes in ultradeep wells (> 7000 m) with high steel grade (TP155V) and thick-wall (15.83 mm) casing not only face complex underground environments with high temperature and pressure but also have the difficulty of long operation time and high cost. To improve the success rate and operational efficiency, CAE software was used to establish the casing windowing side-drilling simulation model and optimize the windowing milling cone. Field applications were used to further demonstrate the simulation results. The main conclusions are as follows. The simulation shows that the milling shoulder and the outer circle of the cone top are the main working faces in window opening and window repair. The conical milling cone has the largest windowing stress, highest windowing efficiency, and regular shape of the window. A casing with a depth of 7473 m, wall thickness of 15.83 mm, and steel grade TP155V was successfully windowing using six conical milling cone in the ST102 well, taking 51.76 h, and generating 94 kg iron chips in total; the average milling speed was 0.06 m/h; The casing windowing progress can be determined by observing the return state of the cuttings. ST102 well set three records in China for the deepest drilling depth, highest steel grade, and thickest wall thickness.
Research on Crack Limit Dimension of Pressure Vessel Based on FAD Diagram
Authors: Zhang Meige , Chen Xiumei 
Published: February 2024

Abstract
Pressure vessels are widely used in petrochemical, aerospace, transportation and other industries. In the process of processing, it will form surface opening defects, and these defects will threaten the production safety. In order to effectively avoid the occurrence of safety accidents and understand the service life of pressure vessels, it is necessary to predict and analyze the crack limit size. In response to the problem of complex stress and difficulty in theoretical calculation after cracks appear on the surface of pressure vessels, this article uses the ANSYS Workbench platform to simulate and analyze the pressure vessels and obtain relevant parameters such as stress intensity factor and stress. Through calculation, the toughness ratio and load ratio are obtained. Using the FAD Failure Assessment Diagram, the ultimate crack size of pressure vessels under safety conditions is obtained. This method provides a reference for crack analysis methods and safe use of pressure vessels.
Research on Improving the Tribological Properties of Bearings under Cryogenic Conditions
Authors: Wang Bin , Liu Zhuanghua , Liu Dongchang , Tian Zhen , Xie Saipeng , Wang Xiaodong , Dai Jun , Bu Chunguang 
Published: February 2024

Abstract
Bearings, as one of the most central components of rotating equipment, are widely used both in servo steering gear, aerospace and other fields. However, for extremely cryogenic conditions, the life of bearings is low, so it is necessary to carry out the tribological design of bearings to improve its cryogenic performance. In this paper, four kinds of optimized and improved plain bearings are designed. The tribological tests of these four bearings under extreme cryogenic working conditions were carried out using the developed bearing simulation test rig. The results show that under the same load and rotational speed conditions, the preparation of micro-weave structure on the surface of the shaft tile or the preparation of composite coating on the surface of the journal can improve the friction and wear performance of the bearings to a certain extent. When both methods are used at the same time, the friction reduction and anti-friction wear effect of the sliding bearing is better. This study not only provides theoretical guidance and technical support for improving the cryogenic tribological performance of bearings, but also has important practical significance for the future development of rotating equipment in the low-temperature field.
Research on Optimization Method of Allocation of Equipment Maintenance Devices Based on Sensitivity Analysis
Authors: Zhang Baojun , Song Weixing , Che Chengxiang , Wang Gang , Wang Jiangli 
Published: February 2024

Abstract
In order to scientifically and efficiently allocate maintenance devices to improve the military economic benefits of equipment maintenance, combined with the characteristics of equipment maintenance work, the optimization goals of minimizing the completion time of batch maintenance tasks, minimizing the average maintenance time of a single equipment, and minimizing the consumption of labor costs were proposed. Based on flexible scheduling of maintenance processes, an optimization model is established, and the HNSGSA algorithm is designed to solve the problem by combining the advantages of NSGA-II and SA. According to the sensitivity analysis of the objective function on maintenance devices allocation, an optimization method for maintenance devices configuration is proposed.
Experimental Verification of Torque Calculation Method for Shield Screw Conveyor
Authors: Chun Li Xing , Fu Yue , Li Ziliang 
Published: February 2024

Abstract
The normal function of the shield spiral dumper has an important impact on the safe and efficient tunnelling of EPB shield, and the driving torque is the key decisive parameter that determines whether the spiral dumper can function normally. On the self-designed and commissioned manufacturing model test platform, the indoor reproduction test of EPB shield screw conveyor slag simulation was carried out. The theoretical calculated values were highly consistent with the test results, and the average relative error of the three tests was 8.65% to 9.18% at 6 rpm. The average relative error after entering the steady state was 4.6%, and the maximum relative error was 8.9% at 15 rpm. Through the shield model screw conveyor laboratory test, the correctness and validity of the proposed shield screw driving torque calculation model were verified and the proposed theoretical calculation method has good practical application. It is obvious that this calculation method has sufficient validity in the design of shield screw device.
Research on Tensile Test of Dissimilar Steel Body Solder Joints
Authors: Wang Xiaoguang , Hou Chunjuan 
Published: February 2024

Abstract
With 22 mnb5 St16 and ordinary steel as the research object, under the conditions of medium frequency spot welding connection plate welding, solder joint for the electric logging under shear load test, determination of solder joints, solder joint and away from the solder joint around the base of strain, according to measurement data analysis of solder joints and the deformation regularity of parent metal. The test results show that the strain in the spot welding joint distribution is uneven, the center of the welding strain is small, large deformation mainly exist in the heat affected zone, near the solder heat affected zone is the main area prone to give in. Away from the solder joint area of the parent metal, the influence of solder joint is small, mainly tensile strain, and strain as the load increases, solder joint strain is negative, the center is linear, and basic antisymmetric location of strain values different test points.
IGSA-PNN-based Methods for Power Transformer Fault Diagnosis
Authors: Wang Yanyu , Qiu Peng , Liu Yang , Guo Yishen , Peng Cheng 
Published: February 2024

Abstract
To enhance the precision of power transformer fault diagnosis, it is necessary to make improvements. Aiming at the shortcomings of Probabilistic Neural Network (PNN) network experience selection smoothing factor and avoiding the shortcomings of traditional Gravitational Search Algorithm (GSA) easy 0to fall into local optimum and convergence speed slow, a Probabilistic Neural Network (PNN) model using chaos sequence to improved GSA for power transformer fault diagnosis is proposed. Firstly, chaos sequence is used to increase the diversity of gravitational particles to avoid falling into local optimum during the training process. Then, the improved GSA algorithm is used to optimize the parameters of the PNN model itself to improve the prediction accuracy of the model. Finally, the prediction results are compared with the prediction results of other traditional diagnostic models. The results show that IGSA-PNN fault diagnosis model performs better in generalization ability and classification accuracy.
Beam optics distortion caused by orbit deviation at strong sextupole magnets in SuperKEKB
Authors: Sugimoto H. , Ohnishi Y. , Morita A. , Koiso H. 
Published: February 2024

Abstract
The SuperKEKB is an electron-positron double-ring
asymmetric-energy collider at the High Energy Accelerator Research
Organization (KEK) in Japan. It uses a novel collision method
referred to as the nano-beam scheme to avoid the so-called hourglass
effect. The highest peak luminosity achieved thus far is
4.65 × 1034 cm-2s-1, which was
reached on June 8th, 2022. Although the SuperKEKB holds
the record for the world's highest instantaneous luminosity, several
unresolved issues prevent a further increase in luminosity. One of
the major issues is inadequate stability and reproducibility of the
beam orbit and optics. This paper discusses optics distortion caused
by orbit deviation near strong sextupole magnets. Numerical
estimations indicate that a horizontal orbit deviation of a few tens
of micrometers induces a sizable distortion of the optical functions
at the interaction point. Analyses of the amount of betatron tune
feedback and orbit at sextupole magnets used for crab waist and
vertical local chromaticity correction indicate that the
beam-current dependence of the vertical tune shift is attributable
to the change of the beam orbit at the sextupoles. The orbit
fluctuation at the sextupoles causes beta-beating and makes stable
operation at high beam currents more difficult. The results show
that orbit tuning at the sextupoles improves both the injection
efficiency and the detector background level. Optics deterioration
within a few days is another urgent issue in high-beam-current
operation. A vertical orbit change of a few tens of microns at
sextupole magnets installed in arc cells is a matter of concern
according to numerical estimations.
Impedance driven collective effects in CEPC
Authors: Wang N. , Zhang Y. , Xu H.S. , Liu Y.D. , Li J.T. , Lin C.T. , Wang Y.T. , Zheng H.J. , Zhai J.Y. 
Published: February 2024

Abstract
The Circular Electron Positron Collider is a double ring
lepton collider covering beam energy from 45 GeV (Z) to 180 GeV
(tt-bar). Beam coupling impedance and the collective effects that
are triggered by the impedance are important subjects when targeting
high machine performance of an electron positron collider. A robust
impedance model is required for the instabilities evaluations as
well as to investigate their possible mitigations. Meanwhile, a
thorough investigation on the collective effects is essential to
identify the critical issues on the beam instabilities. In this
paper, a detailed impedance model has been built for the collider
ring and dominant impedance contributors have been identified by
evaluating the effective impedances. The potential collective
instabilities driven by the impedance are also discussed.
Challenges of the FCC-ee civil engineering studies
Authors: Bromiley L. , Cunningham R. 
Published: February 2024

Abstract
The European Organisation for Nuclear Research (CERN) is
planning a Future Circular Collider (FCC), to be the successor of
the current Large Hadron Collider (LHC). Significant civil
engineering is required to accommodate the physics experiments and
associated infrastructure. The 90.6 km, 5.5 m diameter tunnel will
be situated in the Geneva region, straddling the Swiss-French
border. Civil engineering studies are to incorporate the needs of
both the FCC lepton collider (FCC-ee) and the FCC hadron collider
(FCC-hh), as the tunnel will host both machines successively.
Search on stable binary and ternary compounds of two-dimensional transition metal halides
Authors: Hvazdouski Dzmitry Ch , Baranava Мaryia S , Korznikova Elena A , Kistanov Andrey A , Stempitsky Viktor R 
Published: February 2024

Abstract

Ab initio driven density functional theory-based high throughput simulations have been conducted to search for stable two-dimensional (2D) structures based on transition metal halides. Binary MeX2 and MeXY (Me—transition element, X and Y–Cr, Br, I, where X ≠ Y) 2D structures in two structural polymorphic modifications, which are 1T-phase and 1H-phase, have been studied. The main structural stability criteria, such as heat formation energy, elasticity constants, and phonon spectra and the following ab initio molecular dynamics simulations have been used to determine the stability of studied compounds. It has been shown that 35 MeX2 and 32 MeXY 2D structures comply with given stability criteria. Photocatalytic properties of these stable 2D MeX2 and 2D MeXY have been investigated. Based on the calculated band gap size E
g, work function Ф and electron affinity χ, it has been found that among all stable compounds 13 MeX2 and 16 MeXY 2D structures are promising photocatalysts for water splitting. However, only 7 compounds have solar-to-hydrogen (STH) efficiency overcome the 10% threshold, which is a critical parameter for solar hydrogen generation to be an economically viable resource. Among MeX2 2D structures 1T-CdI2 and 1H-VBr2 possess a STH efficiency of 11.58% and 17.23%. In the case of 2D MeXY, STH efficiencies are 22.79% (1T-ZnClI), 15.20% (1T-CdClI), 22.13% (1T-ZnBrI), 12.11% (1T-CdBrI) and 19.76% (1H-VClBr). Moreover, as a result of this work, a comprehensive publicly available database, containing detailed calculation parameters and fundamental properties of the discovered 2D transition metal halides, has been created.
Investigation of machining rate and surface roughness in wire EDM of Al6063/WC/ZrO2 composite using response surface methodology
Authors: Janagarathinam P , Subramanian M , Dhanalakshmi C Sowmya , Madhu P 
Published: February 2024

Abstract
The aim of the current work is to explore the machinability behavior of Al6063/WC/ZrO2 metal matrix composites (MMC) produced through a stir casting process through wire electrical discharge machining (WEDM) process. In order to examine the effects of process parameters such as voltage (V), pulse on time (Ton) and pulse off time (Toff) on material removal rate (MRR) and surface roughness (SR), the experiments were conducted by adapting Response Surface Methodology (RSM) in conjunction with the central composite design (CCD). A second-order regression model has been developed to predict the response parameters and an analysis of variance (ANOVA) was performed to validate the significance of the models. Using the desirability function approach, the parameters were set for the highest MRR and the minimum SR value. The prediction was within a tolerable average error range. A total of 19 sets of tests were developed to obtain six possible solutions. The most suitable solution among these six has been found by a confirmatory experiment. The results indicate that voltage and its interactions have significantly affected both the responses than Ton and Toff. Overall, it can be said that the study of the Al6063/WC/ZrO2 MMCs using WEDM process parameters demonstrated improved casting and machining qualities.
Strength of minority ties: the role of homophily and group composition in a weighted social network
Authors: Nicolás-Carlock José R , Boyer Denis , Smith-Aguilar Sandra E , Ramos-Fernández Gabriel 
Published: February 2024

Abstract
Homophily describes a fundamental tie-formation mechanism in social networks in which connections between similar nodes occur at a higher rate than among dissimilar ones. In this article, we present an extension of the weighted social network (WSN) model that, under an explicit homophily principle, quantifies the emergence of attribute-dependent properties of a social system. To test our model, we make use of empirical association data of a group of free-ranging spider monkeys in Yucatan, Mexico. Our homophilic WSN model reproduces many of the properties of the empirical association network with statistical significance, specifically, the average weight of sex-dependent interactions (female-female, female-male, male-male), the weight distribution function, as well as many weighted macro properties (node strength, weighted clustering, and weighted number of modules), even for different age group combinations (adults, subadults, and juveniles). Furthermore, by performing simulations with fitted parameters, we show that one of the main features of a spider monkey social system, namely, stronger male-male interactions over female-female or female-male ones, can be accounted for by an asymmetry in the node-type composition of a bipartisan network, independently of group size. The reinforcement of connections among members of minority groups could be a general structuring mechanism in homophilic social networks.
The desire machine
Authors: Forrester Paul 
Published: February 2024

Abstract
The experience machine poses the most important problem for hedonist theories of well-being. I argue that desire satisfactionism faces a similar problem: the desire machine. Upon entering this machine, your desires are altered through some minor neurosurgery. In particular, the machine causes you to desire everything that actually happens. The experience machine constructs a simulated world that matches your preexisting desires. The desire machine reconstructs your conative state to match the preexisting world. Desire satisfactionism recommends entering the desire machine because you will then have more satisfied desires, but this is unintuitive. In this paper, I consider how desire satisfactionists might avoid the result that entering the desire machine increases one’s well-being. First, I further motivate why this problem arises. Second, I consider coherence-based norms of rational desire change. Finally, I argue that introducing a substantive account of fitting desire is the only plausible solution, but that this response requires abandoning pure subjectivism about well-being.