bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on cascading effect analysis of civil aircraft electrical power system failures
Authors: Lv Jun 
Published: June 2024

Abstract
Cascade effect analysis is a qualitative analytical method recommended by SAE ARP 4761A [1] for evaluating complex integrated civil aircraft systems. The Electrical Power System (EPS) is one of the critical onboard systems. It can provide electrical power to the avionics system, flight control system, and other critical systems on the aircraft, and it has a wide range of failure effects. The consequences of EPS failure effects are difficult to determine. This paper applies the cascading effect analysis method to carry out the qualitative safety assessment of the EPS on the aircraft and finally confirms that the architectural design of the EPS met the safety design requirements. It also gives the engineering method (such as test, MBSA) suggestion to further check and verify the correctness and completeness of the theoretical analysis of CEA.
Design and analysis of mechanical mechanism of cold-forming equipment for marine profiles
Authors: Jiang Qilin , Hou Junming , Liu Jinfeng 
Published: June 2024

Abstract
For the existing cold bending machine with complex structure, low automation, and poor motion accuracy. A cold-forming machine that can be used for cold-forming processing of ship profiles is designed in this paper. Firstly, the general structure of the equipment is described. Secondly, the key mechanical structures, such as the guiding mechanism, the feeding mechanism, and the cold bending mechanism, are explained. Finally, the finite element models of key components were mechanically analyzed. The results show that the mechanical structure design proposed in this paper not only meets the mechanical design requirements needed for the system but also can effectively prevent the profile from slipping during the feeding process and achieve highly accurate automatic cold bending processing of the profile.
Design and implementation of intelligent camshaft press-fit testing system
Authors: Huang Zhaoxian 
Published: June 2024

Abstract
In order to improve the assembly efficiency and automation level of camshaft press-fit equipment for domestic enterprises and achieve data traceability, a smart camshaft real-time press-fit detection system based on C# has been designed and developed. The system adopts modular thinking for C# program design and interface design, collects pressure and displacement data during the press-fit process, forms curves, and uses regional determination methods to determine the results, in order to achieve the goal of press-fit detection. After the press-fit is completed, the press-fit result data and curve data are saved to the database, achieving data traceability. The system collects data from the upper computer and determines the press-fit result, reducing the workload of the equipment controller (PLC), improving assembly efficiency and detection accuracy, and is innovative to some extent. After testing, the system runs stably and reliably, providing a certain reference value for the intelligent transformation of press-fit equipment.
Design of fuzzy controller for dynamic positioning based on improved particle swarm algorithm
Authors: Lu Zheng , Wu Weifeng , Chen Wentao 
Published: June 2024

Abstract
The traditional PID controller commonly used in ship dynamic positioning has the defects of difficult online adjustment and weak anti-interference ability. Combining fuzzy control with PID can be a good way to improve the adaptability and accuracy of the controller. However, the parameters of fuzzy PID need to be adjusted by human beings, and there exists a certain uncertainty, which has a great influence on the robustness of the controller. Therefore, the fuzzy PID is optimized using an improved particle swarm algorithm to parameterize the quantized scale factor and rules of the fuzzy PID. Particle swarm optimized fuzzy PID was simulated, and the control of PID and fuzzy PID controllers was compared under different operating conditions, as shown by the experimental results: Under the hydrostatic condition, the convergence speed of the control system is faster; under the load condition, the overshooting amount of the control system is smaller, and the robustness and adaptability have been significantly improved.
Design of silicon box cleaning control system
Authors: Ge Zhenghao , Yang Hao , Li Lixiang , Cai Yongli 
Published: June 2024

Abstract
The performance, efficiency, and stability of semiconductor materials are directly influenced by the quality of wafer cleaning, which is a crucial step in the production of integrated circuits and photovoltaic cells. For this reason, the final product’s quality greatly depends on the cleaning effect’s quality. Approximately half of the issues and malfunctions in large-scale integrated circuits are related to inadequate cleanliness of the silicon material, a result of the shortcomings of current wafer cleaning technology. Wafer cleaning process optimization is therefore crucial. The control system is designed based on the structural features and process flow of the chemical liquid spray wafer cassette cleaning machine. Siemens S7-1200 PLC is used as the control core of the control scheme, which is built by examining the control principles of each cleaning machine module and choosing and designing the hardware component of the control system. The wafer cleaning process is fully automated thanks to the design of the upper computer monitoring interface, which also includes a touch screen for online debugging. This significantly raises the production efficiency of the wafer-cleaning machine.
Design of partial discharge detection device based on BP neural network algorithm
Authors: Wang Zhendong , Han Xueyu , Wang Yonggui 
Published: June 2024

Abstract
At present, with the rapid development of science and technology, the construction of new power systems has been promoted rapidly, and the automation and intelligence of power network operation equipment has been continuously improved. It is increasingly important to use various detection techniques for the state detection of power grid operating equipment. In this paper, a design scheme of partial discharge detection device based on neural network BP algorithm is achieved, combining with the current detection technology and embedded technology. The purpose of discovering and evaluating the insulation defects of power grid equipment is to detect partial discharge.
Lifting platform PWM control system design combining distance detection
Authors: Ouyang Ziyin , Zhang Min , Zeng Wei 
Published: June 2024

Abstract
The design of this system aims to achieve running speed control of a lifting platform based on pulse width modulation (PWM) technology, combined with weight and distance detection. The system consists of a microcontroller unit (MCU), pressure sensor, ultrasonic ranging, L298N motor drive, LCD1602 display, keys, and alarm modules. The system generates corresponding PWM signals based on the weight of load and distance between the platform and the starting point to control the speed of lifting the platform DC motor, ensuring the safety and stability of the lifting process. The system’s overall functionality has been verified through simulation by PROTEUS 8.15 and tested through physical circuit construction. This control system can achieve real-time and accurate lifting speed control of the platform, and has good performance and stability. The design is simple and can be applied to various occasions such as industrial production lines, warehouse material handling, and high-altitude operations, improving work efficiency and reducing the risk and burden of manual operations.
The study of in-situ calibration technology of redocking torque parameter of performance test system for space station redocking mechanism
Authors: Ni Bo , Weng Jun , Wang Chao , Li Yuanjie , Fang Yichen 
Published: June 2024

Abstract
The redocking manipulator performance test system is the necessary equipment in the development stage of a redocking manipulator. The measurement parameters such as redocking torque are the key parameters used by the test system to simulate the redocking process of the space station, which directly affect the simulation accuracy of the whole test system and the correctness of the test results of the redocking manipulator. In this paper, the in-situ calibration technology of redocking torque is studied. Firstly, the calibration theory is analyzed based on the sensor comparison method. Secondly, the in-situ calibration device of redocking torque is established by using a special loading mechanism and calibration tooling, and the measurement uncertainty is evaluated. Finally, the application verification test of the test system is carried out to verify the feasibility of the calibration device, which provides a metrological guarantee for the successful completion of the development and production task of the redocking manipulator of the space station.
Research and application of low-frequency eddy current detection technology for heating surface tube of power plant boiler
Authors: Mu Yanchun , Zhao Li , Xu Wensheng , Ge Hao , Cheng Dongyue 
Published: June 2024

Abstract
In this paper, an ultra-low frequency magnetic detection method for the shedding of oxide layer on the inner wall of austenitic stainless steel heating surface tubes in power plant boilers and a far-field eddy current automatic detection method for water-cooled wall tubes are introduced. The probe selection, comparison sample making, detection voltage, detection current, signal phase and amplitude of ultra-low frequency magnetic detection, and far-field eddy current automatic detection methods are tested and studied, which provide reference detection parameters for practical detection applications. According to on-site practical application verification, this detection method can quickly, intuitively, and accurately detect the oxide layer peeling off the inner wall of austenitic stainless steel pipes and the defects on the inner and outer walls of water-cooled wall pipes, providing a feasible and effective means for the quality supervision and safe operation of the power plant boilers.
An indoor delivery robot based on YOLOv8 and ROS
Authors: Sun Zhijin , Fan Jianan , Lu Jialin , Zhang Lei , Li Xiaoyang , Deng Baoru 
Published: June 2024

Abstract
Aiming at the problems of inflexible movement, poor operation efficiency, low space utilization in the storage area and poor compatibility of placed items, intelligent route planning ability and weak intelligent obstacle avoidance ability in the current indoor delivery robot operation process, this paper takes ROS combined with YOLOv8 as the intelligent driving core, uses the A* algorithm to make the robot go to the target position, plan a reasonable route, take STM32 as the intelligent control core, and use the Mecanum wheel as the power take-off wheel. Based on this, an indoor delivery robot based on ROS and the McNum wheel motion scheme is designed. This paper designs the robot as a whole, designs the mechanical structure and functional modules of the robot, and simulates and analyzes the obstacle avoidance scheme and key functions of intelligent driving. Experiments have proved that the design of the delivery robot can not only achieve efficient and accurate distribution, but also reduce energy consumption to a certain extent, and provide new ideas for the intelligent transformation and development of the logistics industry.
Insulation excellence and storage dynamics in a 500-litre self-developed vehicular liquid hydrogen cylinder: thermal leakage and status analysis
Authors: Ma Xiaoyong , Chen Shuping , Wang Xin , Zhang Wanyao , Wang Zhengwen , Mi Maoyuan , Shi Chaofan , Zhang Shangwu , Li Jie 
Published: June 2024

Abstract
Liquid hydrogen storage represents an efficient and highly promising method for hydrogen encapsulation, particularly relevant for hydrogen-powered vehicles. This paper describes a novel self-developed 500-litre vehicular liquid hydrogen cylinder featuring high vacuum multi-layer insulation (HVMLI) and eight-point support structures. The study quantitatively analyzes the heat leakage from the thermal insulation layer, support structures, and accessory pipelines of this cylinder, with a total thermal leakage rate of 11.759 W, mainly stemming from the support structure. Moreover, using the BoilFAST software, simulations were conducted to investigate variations in the pressure of the ullage space, the temperature of the stored liquid hydrogen, and the temperature of the vapor within the ullage space across different liquid filling rates and stationary periods. This paper provides valuable insights into the development of vehicular liquid hydrogen cylinders, and the simulation results improved comprehension of the internal storage status and variations of associated physical parameters.
Numerical simulation of free-surface evolution in laser polishing of 100 Cr6 bearing steel
Authors: Fang Chuqiao , Wu Xiao , Wang Sijin , Wang Xin , Pan Wanshun 
Published: June 2024

Abstract
This research focuses on the laser surface polishing process of 100 Cr6, employing a moving Gaussian heat source. It establishes a two-dimensional transient model for laser polishing, taking into account the integrated effects of fluid flow and temperature fields, as well as the combined influence of capillary and thermocapillary forces. The model was used to perform numerical simulations to study the evolution of surface morphology during the laser polishing process. The investigation specifically examines how laser power and scanning speed influence the quality of the polishing outcome. The results demonstrate that an optimal surface roughness of approximately 0.571 μm is attained at a laser power setting of 200 W and a scanning speed of 300 mm/s.
Tire dynamics simulation based on MATLAB/Simulink
Authors: Pan Yunping , Huang Wenxuan 
Published: June 2024

Abstract
This paper explores different tire models to address the challenge of simulating tire dynamic characteristics. The Magic Formula is utilized to establish the dynamic model of the tire using the MATLAB/Simulink tool. Simulation analysis is performed under three distinct operating conditions: pure braking, pure cornering, and combined. The outcomes demonstrate that the mechanical properties of automotive tires can be effectively simulated using the Magic Formula tire model. Controlling the longitudinal slip ratio within a 10% range, maintaining the slip angle within a range of 7 degrees, and ensuring that the vertical load on the tire does not exceed 6 KN significantly contribute to enhancing the stability and handling of the vehicle.
Research on noise prediction of steel aluminum mixed structure ship
Authors: Gao Lisha , Xu Xiaoying , Zhou Pan 
Published: June 2024

Abstract
In the context of the implementation of the new Ship Noise Level Regulations, it is particularly important to conduct ship noise prediction during the design phase. This article establishes a SEA model using the statistical energy method and VA One software and predicts cabin noise. The impact of non-living quarters, reinforced panels, and interior materials on noise prediction is discussed. The results indicate that using the statistical energy method for noise prediction has a certain degree of accuracy. When establishing an acoustic model, non-residential compartments can be simplified while considering the influence of reinforcement plates and interior materials on the prediction results.
Characteristic study of valveless pump with dual outlet composite drainage structures
Authors: Li Wei , Zhao Da , Huang Yongcheng , Xie Jianghuai , Li Junxian , Wang De 
Published: June 2024

Abstract
Valveless pumps are gaining importance in various fields. However, the reflux phenomenon can reduce pump performance and limit its application. This article proposes a dual outlet composite drainage structure valve-less piezoelectric pump with multiple semicircular arc structures within the flow channel to address this issue. The operating methods are explained, and the pump output flow rate formulation has been derived. The ANSYS CFX was used to simulate flow conditions in various directions. A prototype pump was then produced and tested using 3D printing technology. The results show that the flow rate gets a maximum state of 189.6 mL/min under a voltage of 200 V and a frequency of 50 Hz.
The motion state of a spherical detector in a horizontal pipeline under different density ratio
Authors: Miao Rui , Chen Yingchun , Song Wei , Fan Xiaoli , Ye Wei , Lou Yi 
Published: June 2024

Abstract
Pipeline leakage can lead to serious environmental damage and industrial hazards. A spherical detector is a device for detecting pipeline leakage, which can locate the leakage position. To ensure the stable operation of the detector in a variety of media fluids, this paper uses the numerical simulation method to study the motion state of the sphere and the influence of different density fluids on its motion. It is found that the resistance and lift of the sphere under different density fluids are different, which will affect the motion trajectory of the detector and the speed of the stable stage. Therefore, the working environment of fluids with different densities needs to be considered when designing a spherical detector to ensure its stable operation in various fluid media.
Tolerance analysis of slat gear rotary actuator in civil aircraft
Authors: Cao Junzhang , Yu Haidong 
Published: June 2024

Abstract
The slat gear rotary actuator of civil aircraft needs to meet the requirements of small space and large transmission ratio. The planetary gear system based on triple teeth is a common actuator design, and the design structure is complex, so its tolerance control is also strict. In order to meet the design requirements of its internal structure, this paper presents a deviation analysis method for the internal structure design of a typical civil aircraft slat gear rotary actuator. The results of preliminary tolerance distribution and improved tolerance distribution are analyzed using the Jacobi-based assembly deviation model. By comparing the standard deviation of the analysis results, the validity of this deviation analysis method is verified, which proves that this method can be used to analyze the internal structure deviation of the rotary actuator of slat gear in civil aircraft.
Modeling, detection, and validation for geometric errors in machine tools
Authors: Jia Guangjie , Zhang Xu 
Published: June 2024

Abstract
This study aims to enhance the spatial precision of five-axis machining centers through a comprehensive exploration of geometric errors, encompassing modeling, efficient detection, and compensation validation. Our approach begins with the establishment of a kinematic error model covering XYZ translational axes and AC rotational axes, providing an in-depth understanding of error origins and interrelationships. Utilizing a laser tracker, we conduct direct measurements of the geometric errors associated with translational axes, and a rotational axis error detection model is developed by using a ball bar, allowing for indirect analysis of rotational axis geometric errors. The validity of both the kinematic error model and error detection is further confirmed through practical on-machine measurements.
Modeling of machine tool thermal error based on factor extraction
Authors: Zhang Shunyu , Peng Liang , Chen Zhenlei 
Published: June 2024

Abstract
In the process of modeling thermal errors in machine tools, optimizing the extraction of temperature information affects the prediction accuracy of the thermal error model. This paper proposes a thermal error modeling method based on factor extraction. Firstly, the temperature measurement points are optimized to determine the optimal number using finite element, fuzzy clustering, and correlation methods. Then, the common deformation factors in the machine tool temperature information are extracted through factor analysis, and they are used as independent variables for thermal error modeling. Finally, the method was applied to establish a model for thermal error model for a certain model of precision machine tool, and a regression model of the machine tool was obtained after factor extraction optimization, the effectiveness and feasibility of the proposed method in this paper were verified by comparing it with experimental data. The method proposed in this study provides a reference for modeling thermal errors in various types of machine tools in the future.
Research on case retrieval strategy based on drawing die of automobile coverings
Authors: Cheng Shiju , Qi Hongfang , Guo Hanxiang 
Published: June 2024

Abstract
To improve the accuracy and efficiency of case retrieval in the process of intelligent design of automobile panel drawing die, this paper proposes a case retrieval strategy based on model reasoning and an improved k-nearest neighbor (KNN) method. Through the functional representation and modular description of the existing knowledge of automobile panel drawing die design, the problems to be solved are compared with the model, and the preliminary screening is completed. Then the nearest neighbor algorithm is used to realize the retrieval, and the subjective and objective weight assignment method is used to optimize the retrieval strategy. The subjective weight uses the improved three-scale analytic hierarchy process to avoid the subjectivity increase caused by the judgment matrix’s artificial adjustment. The objective weight uses the grey wolf optimization algorithm, and the dynamic adaptive calculation of the average similarity is designed to enhance the reliability of the fitness function. Finally, the case retrieval of the drawing die during the design of a certain type of panel die is taken as an example to test. The retrieval strategy can accurately complete the retrieval of historically similar cases, which verifies the effectiveness of the proposed instance retrieval strategy.
Research and analysis on fault diagnosis of multistage centrifugal pump for mining
Authors: Bao Jihua , Wang Yumin 
Published: June 2024

Abstract
The vibration data collected by the fault experiment are analyzed in the time domain and frequency domain respectively, and the conclusion shows that the frequency characteristics of some vibration data cannot be fully characterized due to noise interference. In order to solve the problem of noise interference, this paper uses the VMD algorithm based on the kurtosis peak to denoise the collected data, constructs wavelet time-frequency map samples through the wavelet transform method to provide input sources for the subsequent convolutional neural network, and uses the image samples for fault diagnosis and identification. [1] Through the convolutional neural network built to diagnose and identify the different states of the multistage centrifugal pump, it can be seen that the recognition accuracy, training time, and recognition time of a single sample of various image samples in the three cases of no noise reduction, noise reduction and a small number of samples can be found through the method of comparative analysis, and compared with the traditional SVM method, the superiority of the convolutional neural network using image recognition can be found.