bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative Analysis of the Hsu-Nielsen Source through Advanced Measurement and Simulation Techniques
Authors: Abolle-Okoyeagu C J , Fatukasi Oluseyi , Droubi Ghazi , Reuben R L 
Published: August 2024

Abstract
This paper presents the results from conducting a series of experiments with a Hsu-Nielsen Source, accompanied by corresponding numerical simulations on a solid block. The aim being to illustrate a Finite Element Analysis (FEA) approach for simulating Acoustic Emission (AE) wave propagation in a Hsu-Nielsen Source, by employing virtual sensors to enhance existing AE research methodologies. The objective was to examine and establish the actual unload rate derived from Pencil Lead Breaks (PLBs) by comparing results from simulations and experimental trials. These experiments and simulations were conducted using a solid cylindrical steel block, capturing the propagating Acoustic AE waves from both sources over a two-second span. When comparing the experimental data with the simulation results, it is evident that replicating the structure of an impulsive AE source is feasible for brief durations. Furthermore, both the experimental and simulated signals on the steel cylinder displayed comparable patterns in the initial 25-30 µs. The methodology presented in this study demonstrates the effectiveness of Finite Element Analysis (FEA) in precisely identifying the specific modes present in AE wave propagation, including the actual unload rates affecting the AE signals recorded.
Development of a novel PCB electric field sensor with high-resolution
Authors: Li Jinyang , Lai Yi-Horng , Qu Lijie 
Published: August 2024

Abstract
Electric field sensors with high resolution and high sensitivity have an important engineering application. Developing a compact, cost-effective Electric Field Sensor (EFS) for aerospace applications, this study introduces a novel use of PCB parallel board probes, enhancing affordability and simplicity. A uniquely designed three-stage adaptive signal amplification module quickly adjusts amplification factors, ensuring high sensitivity and resolution even in complex electric field environments. Due to the non-linear response characteristics of the PCB probes in complex electric field environments, the GTEM cells and the high voltage parallel plate method are used to simulate the complex electric field scenarios. In the weak electric field experiment, the proposed EFS achieved a high resolution of 10 mV/m. In the strong electric field experiment, the linearity of fitting between the proposed EFS and commercial NBM-550EFS reached 0.9999. Finally, based on RBFNN, the overall measurement model of EFS achieves the dynamic measurement range of 0-1 kV/m.
Characterization of underwater manipulator based on the fluid-structure interaction under pulsating flow
Authors: Li Yongqi , Liu Xia , Duan Derong 
Published: August 2024

Abstract
Underwater manipulators are taking on an increasingly significant function in marine biological fishing operations. Under the action of the ocean flow field, vortex-induced vibration will be induced, which will cause fatigue damage or even fracture of the underwater manipulator. Based on the Ansys fluid-solid coupling software, this paper simulates the vortex-induced vibration response characterizations of underwater manipulators under pulsating flow conditions. The pulsation flow at the entrance is realized by changing the velocity amplitude and pulsation frequency. The influence laws of pulsating frequency and amplitude on the CL
, CD,
and wake vortex shedding are investigated. The results showed that the CL
and CD
of the underwater manipulator increased by 133.33 % and 39.18 %, respectively, with an increase in the pulsation parameter. Additionally, with the increase of pulsating frequency, the banded vortex behind the underwater manipulator is gradually obvious, and the energy in the vortex is also increasing.
Modeling and motion simulation study of a three-dimensional sewing device
Authors: Xu Shaohua , Xin Daxin , Yang Ming , Zhang Ying 
Published: August 2024

Abstract
In response to the sewing demands of steering wheels and their unique shapes, a multi-robot arm cooperative three-dimensional sewing device was designed to achieve efficient and precise sewing operations. Utilizing SolidWorks, a collaborative three-dimensional sewing device involving multiple robotic arms was engineered, and its mechanism model was established in ADAMS software for motion simulation analysis to evaluate the device’s performance and motion characteristics. This three-dimensional sewing device is capable of fulfilling the sewing requirements of special curved surface items such as steering wheels, enhancing production efficiency and saving labor. Taking the constructed physical prototype as the research subject, motion experiments simulating the sewing process were conducted. Combined with the simulation results, curves, and three-dimensional motion effects, the feasibility of the design was successfully verified, providing a foundation for subsequent sewing trajectory planning and motion control of the device.
Lightweight design and additive manufacturing of one-piece rotating arm axle box for high-speed locomotives
Authors: Zhao Fuyuan , Wang Xinlin , Guan Tianmin 
Published: August 2024

Abstract
Against the background of the continuous increase in the operating speed of the rolling stock, the working environment of the axlebox is becoming more and more severe. To meet the increasing operational demand, the strength and quality requirements of the axle box are also increased accordingly. To realize lightweight design to ensure structural strength, the traditional casting process has the problems of low densities of molded parts, long processing cycles, etc. In contrast, the laser selective melting technology can mold the workpiece with excellent mechanical properties and realize complex structures, effectively solving the above problems. In this paper, the one-piece rotary arm axle box is selected as the research object, its extraordinary load conditions are calculated, and the feasibility of the SLM axle box is verified by hydrostatic simulation. On this basis, the topology optimization design of the axle box is further optimized, and the optimized structural strength and vibration performance are verified by static and modal simulation. SLM technology is used to print components that are ten times smaller in size, and based on the compression experiments, it is verified that its strength meets the design requirements after printing, and the mass of the optimized components is reduced by about 15.4%.
Research on thermal characteristics of double-nut ball screw
Authors: He Pingping 
Published: August 2024

Abstract
Preload, external load, and feed speed have significant effects on thermal characteristics of ball screws. In this paper, ground on friction heat generation theory and Hertz contact theory, a thermodynamic modeling of the double-nut ball screw is established, heat generation under different preload forces and feed speeds is analyzed, and temperature field is estimated based on finite difference method. The results show that preload and feed speed have a obvious impact on screw nuts temperature. The finite difference method makes numerical calculation of temperature field more convenient.
Integrated torque sensors for humanoid robot joints
Authors: Zhao Hongwang , Bo Lin , Peng Changyan , Gu Weikai , Wang Peng , Chen Bingkui 
Published: August 2024

Abstract
Torque sensors are becoming increasingly important in the joints of humanoid robots, serving as an indispensable part of the joint system. This paper designs a strain-based torque sensor integrated into the output flange of a cycloidal reducer. Through mechanical analysis, the relationship between strain and torque is derived. Then, through model simulation analysis, the optimal placement for the strain gauge is determined. A combination of experimental design and response surface analysis is used to optimize the structure’s parameters. Finally, finite element simulation is conducted using ANSYS to obtain the optimized performance parameters. Subsequent steps include the static calibration of the integrated sensor. Based on the measured data points, a linear relationship between the sensor’s output signal and torque is established.
Study on ballast test of underwater pile gripper
Authors: Zhang Dawei , Chen Jinyu , Zhang Meng , Yin Yongqiang , Zhao Xiaolei 
Published: August 2024

Abstract
The underwater pile gripper plays an important role in the installation of the offshore jacket platform. With the further development of offshore oil, it is gradually moving into deep water. Therefore, people pay more attention to the reliability test of pile grippers. The Gripper of underwater pile gripper is the key component of the supporting pipe pile, which determines the quality of the underwater pile gripper to a great extent. Two sets of underwater pile grippers are made of imported and domestic materials, respectively. The maximum loading capacity is 600 tons. The pile gripper is clamped on the test steel pile, and the load is applied by the hydraulic ballast machine. After the experiment is completed, whether the scratch of the tooth mark of the gripper exceeds the expected amount is detected, so as to prove the clamping performance of the pile gripper. The results show that all the components of the pile gripper are not damaged, the hydraulic components are not leaking, the teeth of the imported material gripper and the domestic material gripper are all intact after testing, and the maximum width of tooth marks on steel piles of the two kinds of grippers is about 4 mm and 5 mm, respectively, less than the requirement of 10 mm. The pile gripper made in China can meet the requirements of the actual project for the holding performance, and the holding effect is good.
Development and application of pressure transmitter based on IMC chip
Authors: Zhao Kean , Hu Mengjie , Chen Yaoqing 
Published: August 2024

Abstract
This paper proposes a design scheme for an FF bus pressure transmitter with a domestic IMC chip, using an ECS-700 instrumentation control system to apply the pressure transmitter in refining and chemical projects. Through planning and designing, configuration, and debugging, it improves the convenience and accuracy of the instrumentation system operation.
An envelope statistic features and MFO-SVM fusion method for tidal stream turbine blades impact fault diagnosis
Authors: Wu Zhen , Wang Tian-zhen 
Published: August 2024

Abstract
The fault diagnosis of a Tidal Stream Turbine (TST) blade impact fault benefits its stable operation. However, when the stream velocity changes, it is hard to distinguish between different fault severities directly by observing the changes in the signal feature. To address this problem, this paper proposes a blade impact fault diagnosis method based on envelope statistical features and MFO-SVM. The method is divided into two parts. In the first part, the Teager-Kaiser energy operator (TKEO) and sliding window technique are introduced to extract the envelope statistic features of the current signal, and then the local outlier factor (LOF) values of fault sample points are calculated to form a new set of feature samples; in the second part, the fault feature samples are input into the support vector machine (SVM) optimized by moth fame optimization (MFO) for fault diagnosis. The experimental results show that the proposed method is more accurate than traditional fault diagnosis methods.
Current status and application of welding automation technology for bridge steel structure
Authors: Ji Jiaying , Wang Xingxing , Li Junyi , Lv Shuaishuai , Ni Hongjun 
Published: August 2024

Abstract
In bridge construction, welding automation technology has become an indispensable and important technical means for developing related industries. The paper mainly introduces the current status of welding automation technology in bridge steel structures, elaborates on its existing technology from the control of welding deformation, U-frame welding process, robot welding technology, etc., and gives full play to the positive role of advanced steel structure welding automation technology, and forms a good working mode and technical system. The difficulties in welding are analyzed, which plays a role in promoting the development of welding automation technology for bridge steel structures.
Nonlinear adaptive robust control with continuous error reduction mapping
Authors: Mou Zongliang , Xu Lei , Chen Jianhua , Zhong Junbai , He Nachuan , Du Changdu , Chen Jun 
Published: August 2024

Abstract
Achieving high stability and high-precision control by traditional control algorithms is difficult due to the strong nonlinearity, parameter uncertainty, and random disturbance characteristics of electro-hydraulic proportional servo systems. Herein, we developed a nonlinear adaptive control algorithm based on Lyapunov functions. By estimating the parameters and converging their errors, this algorithm solved the parameter adaptation problem. Additionally, based on convergence inference from the nonnegativity of the derivative of Lyapunov functions, the algorithm designed a disturbance mapping through the derived function. The random disturbance was reduced through the mapping, improving the stability of the system under random disturbance. Finally, we carried out continuous derivation and moved the mapping relationship out of the intermediate temporary controller. This reduced the complexity of the calculation during controller design, prevented performance degradation of the error convergence algorithm after complex calculation, and enhanced the robustness of the algorithm. The algorithm was verified through the simulation model established by Simulink and experience. Results showed that the nonlinear adaptive control algorithm demonstrates fast response, high accuracy, and strong anti-interference ability compared with the high-gain robust control algorithm. It realizes the adaptation of unknown parameters and reduces the control error introduced by random disturbance.
Research on calibration method for measurement error of multiple rate carrier energy meter
Authors: Zhang Fating , Li Xi , Li Yan , Zhou Zixiang 
Published: August 2024

Abstract
With the rapid development of smart grid technology, the multi-rate carrier watt-hour meter is an important measurement tool in power systems; its accuracy directly affects economic benefits and energy management efficiency. This paper proposes a calibration method of measurement error for a multi-rate carrier watt-hour meter to improve the measurement accuracy and reliability of the watt-hour meter under changing load conditions. The multi-rate carrier energy data is collected in real-time by high-precision data acquisition equipment to ensure the comprehensiveness and accuracy of the data. Using advanced data analysis technology to extract the amplitude characteristics of abnormal metering data, on this basis, the output deviation of equipment without input signal is eliminated, and the metering error calibration of the electric energy meter is completed. The experimental results show that this method can significantly improve the metering accuracy of multi-rate carrier watt-hour meters under different power consumption conditions and has good adaptability and practical value.
Study of self-actuated time-controlled tower microvalves
Authors: Luo Hui , Ren Cuixue , Li Jingmin 
Published: August 2024

Abstract
Time-controlled microvalves are vital components of microfluidic systems, primarily used to regulate the sequential or precise introduction of reagents. However, existing time-controlled microvalves face certain limitations. For instance, those driven by magneto-thermal mechanisms require additional control elements, and fabricating some 3D time-controlled microvalves can be complex. To address these challenges, a self-driven time-controlled tower microvalve was designed and fabricated. This study investigates how structural parameters of the time-delay unit affect bubble generation and the time-delay effect. Experimental testing confirmed that the delay time of the time-controlled microvalve increases and then decreases with variations in the trapezoidal aspect ratio (a) and the upper and lower width ratios (b). Additionally, the delay time of a single unit extends as the width of the delay unit increases. The optimal parameters for the time-controlled microvalve were determined as follows: W1
=1, 000 μm, W2
=500 μm, and H=800 μm, achieving an overall delay time of 16.7±0.8 s.
FPGA-based cesium optical pump magnetometer data recording system design
Authors: Teng Da , Hei Guoyu , Wu Yang , Chen Min , Zhao Yue 
Published: August 2024

Abstract
A cesium optical pump magnetometer is a kind of magnetic detection instrument commonly used in geophysical and military fields, which has significant advantages such as high sensitivity, insensitivity to attitude change, and no zero drift. Compared with manned aircraft, rotary-wing UAVs have the advantages of flexible takeoff and landing, low cost, and suitability for small measurement areas, so the aeromagnetic system based on the integration of rotary-wing UAV platforms and cesium optical pump magnetometers has a strong practical value. This paper investigates an FPGA-based CS-3 cesium optical pump magnetometer with a high-precision magnetic field data recording system for building a miniaturized aeromagnetic measurement system based on a rotary-wing unmanned aerial vehicle (UAV) platform, and the system achieves a magnetic field measurement accuracy of 3.4 pT.
Optimization and performance verification of track vehicle multi-friction pair liquid-cooled full-disc brake system
Authors: Yang Dianzhao , Li Zhipeng , Qiu Mingxing , Han Lijin , Han Quanfu 
Published: August 2024

Abstract
The brake system is a crucial component for enhancing the reliability and maneuverability potential of tracked armored vehicles, with a particular emphasis on improving braking performance and reliability. This paper proposes a novel multi-friction pair liquid-cooled full-disc brake system by extending the friction pair and introducing a liquid-cooling structure. Simulation and experimental results demonstrate that the proposed solution significantly accelerates the heat dissipation rate of the full-disc brake system compared to its initial version. Moreover, the presented approach increases the maximum average braking torque by 24.7% and reduces the braking time by 15.2% compared to the original version of the brake system.
Design of control system for seawater total alkalinity in-situ analyzer
Authors: Wang Hongfan , Zhang Yingying , Yuan Da , Wu Bingwei , Zeng Jing , Hao Maotong 
Published: August 2024

Abstract
To address the inadequacies of traditional seawater total alkalinity detection methods, which fail to meet the demands for continuous on-site monitoring at sea, a seawater total alkalinity analyzer based on single-point titration and spectrophotometry has been developed. This paper focuses on the design of the analyzer’s system architecture, hardware, and control systems. The instrument adopts a modular design concept and utilizes microfluidic technology for detection, with the STM32 serving as the control core. Through the design of the control system for the detection instrument, accurate in-situ automatic measurement of seawater total alkalinity is achieved. Laboratory testing and analysis demonstrate that the instrument’s measurement relative error is less than 1%, satisfying the accuracy requirements for seawater total alkalinity measurement. This research provides critical monitoring data support for a timely understanding of marine ecological environments and the marine carbon cycle.
A Markov method for a mechanical system reliability assessment using discrete degradation data
Authors: Shen Hang , Nie Zheng , Xia Jie , Wang Qibin 
Published: August 2024

Abstract
A homogenous continuous-time Markov model (HCTMM) has the advantage of high accuracy and is usually used in reliability analysis. However, the transition intensities (rates) between any two states cannot be accurately obtained due to the discrete data obtained from a mechanical system and little expert knowledge. This paper proposes a method in which the transition intensity matrix of an HCTMM can be obtained indirectly using the actual discrete degradation data of a mechanical system. Firstly, the one-step transition probability matrix can be calculated by a hidden Markov model using the discrete degradation data. Secondly, the unit-time transition intensity matrix can be calculated from the one-step transition probability matrix. At last, an HCTMM is established to assess the reliability of a mechanical system based on the unit-time transition intensity matrix. Moreover, considering the maintenance activities cannot restore a mechanical system as a fire-new one, the random transition of a mechanical system after maintenance is expressed by a quasi-renewal process in this paper. Finally, three cases are studied to validate the proposed method.
Optimization of milling parameters based on GA-BP neural network
Authors: Miao Liqin , Liao Chaoneng , Zhang Dashun , Liang Huaidan , Gao Di 
Published: August 2024

Abstract
Since the selection of machining parameters usually relies on the experience of workers or traditional calculation formulas, the traditional prediction method has the disadvantages of a complicated arithmetic process, large prediction deviation, and high consumption cost, making it challenging to meet the increasing demand of production and processing. Therefore, this paper proposes a machining quality prediction model based on the GA-BP neural network. Through experiments, it verifies the data-fitting ability of the prediction model and then takes the prediction model as the optimization objective, culminating in a multi-objective optimization model for process parameters based on the NSGA-II algorithm. Experiments demonstrate that the cutting force and surface roughness obtained by the optimization model are 3.6% and 10.0% lower than those obtained by the empirical parameters, respectively, leading to reductions of 3.6% and 10.6%, which verified the optimization effect of the model.
Comprehensive simulation analysis of wave-induced dynamics and mesh adaptivity on submarine-launched missiles
Authors: Hong Yue , Ju Xiaoqun , Sun Haoyu , Yu Changli , Zhang Xingming 
Published: August 2024

Abstract
Using the ANSYS simulation platform, we constructed a model of the underwater launching environment and submarine-launched vehicle (SLV) motion based on its launching environment and motion characteristics. We conducted numerical simulations using dynamic mesh technology to study the effects of waves on the attitude and pressure distribution of SLV during the launch process and to analyze the changes in its displacement, angle of rotation, force, as well as the perturbation rules of waves on SLV’s attitude during motion. This will provide a theoretical basis for the in-depth study of the impacts of underwater environmental factors on SLV launching.