bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of a Multi-DOF Structure Based on Dynamic Analysis and Autonomous Operation Algorithm
Authors: Yang Qilin , Li Huakang , Liao Hongbo , Yin Fenglong , Cao Jun , Liu Kun 
Published: August 2023

Abstract
Aiming at the problem of sandy soil collection, a multi-DOF mechanical structure is improved. Manipulator is developed by optimizing the integral middle boom to telescopic arm, and an automatic quick coupler is designed which is between the manipulator and the operating unit. The multi-DOF structure is analyzed based on dynamic theory, and the results of the limited operation range and the cylinder driving force are obtained, which could provide a theoretical basis for the structural design and the cylinder selection. An autonomous operation algorithm for sandy soil collection is proposed. The angle discretization method is adopted to improve collection efficiency. The model prototype is established to carry out the experimental verification. Through the test, the device in remote operation mode shows great performance in working conditions, and the autonomous operation algorithm can reduce the working intensity and risk of the operator and improve the efficiency of sandy soil operation.
Equal Strength Optimal Design of Planetary Gear Transmission
Authors: Jiao Wanming , Li Jinying 
Published: August 2023

Abstract
In the design of planetary gear transmission, some gears are damaged during early use because of low strength, yet some are big structure sizes with high strength. In the paper, gears’ equal strength and minimum volume of the gearbox is regarded as optimization objective, and the exterior point penalty function method is used to solve them. Last, we obtain the design parameters under the condition of equal strength of the planetary transmission. Compared to the conventional design method, the weak strength of some gears is enhanced, the whole life is increased, and the overall volume is decreased. It shows we can get ideal results by equal strength optimization in the planetary transmission design.
Electromagnetically Induced Transparent Electromagnetic Properties Based on Multimode Coupling
Authors: Tang Tingmei , Gai Dianguang , Li Hui 
Published: August 2023

Abstract
Metamaterials are a class of non-natural materials with special properties, the microstructure of which does not exist in nature. By artificially designing the structure of such materials, they can acquire electromagnetic properties that conventional materials in nature do not have. Electromagnetically induced transparency refers to the process of quantum interference effect between atomic energy levels in microscopic systems, which makes an energy-transmitting window appear in the original energy-absorbing region, simply put, a medium strongly absorbs a certain frequency of the light beam, and when another light beam is applied, the absorption of the first light beam by the medium will be greatly reduced or no longer absorbed. This phenomenon is called electromagnetically induced transparency, or EIT for short. In this paper, we combine the graphene material with the EIT structure to improve the manipulability of the EIT structure and obtain a controllable EIT structure based on the multi-mode coupled EIT extension.
Detection Accuracy of Colorimetric Water Quality Analyzer
Authors: Xu Dingbang , Qiu Yafeng , Yan Hao , Jin Zhao , Hou Xiaoming 
Published: August 2023

Abstract
The accuracy of the titration device for colorimetric water quality analysis is the key to its detection accuracy. In order to solve the problem of excessive titration of traditional Chinese medicine in the traditional titration method, a structure optimization scheme of a micro-peristaltic pump applied to a water quality analyzer was designed. By analyzing the phenomenon of periodic water backflow and the “creep” of the pump tube when the peristaltic pump is working, the pump tube is changed from a traditional circular section to an elliptical section; the eccentricity of the pump tube section is adjusted to improve the pressure characteristics of the pump tube and reduce the effect of the “creep”; Ansys is used for solid-fluid coupling and simulation and compared with the experimental results, and the reasons for the differences are analyzed. The experiment proves that the design scheme can improve the stability of the output flow compared with the original design, and the degree of reflux is also reduced to 20.72%, which meets the need of improving the detection accuracy of the water quality analyzer.
Position-Capacity Optimization Method for Distributed Photovoltaic Accessing to Distribution Network Based on PV Load Uncertainty Quantification
Authors: Jia Yuxin , Li Qiong , Chen Yaqi , Wu Yihui , Jin Shengchao 
Published: August 2023

Abstract
As the proportion of photovoltaic grid-connected systems increases year by year, the uncertainty of photovoltaic output and load has an increasingly significant impact on the stable operation of the distribution network. In this paper, a photovoltaic access location-capacity optimization method in distribution lines based on the quantification of photovoltaic-load uncertainty is proposed, and the uncertainty propagation of the PV load model parameters in the distribution network power flow calculation node voltage output model is analyzed. This paper proposed an improved Sobol’s method based on polynomial development to quantitatively evaluate the uncertain impact of photovoltaic load parameters, constructed a photovoltaic access location-capacity evaluation model for distribution lines based on uncertainty quantitative assessment, optimized the access capacity of nodes by using the goal function of line loss minimization, and finally verified the feasibility and effectiveness of the proposed method by improving the IEEE33 node.
Realization of Graphene-based Quantum Hall Resistance Standard
Authors: Song Hailong , Cai JianZhen , Wang XueShen , Wang Hui , Li YanFeng , Huang XiaoDing 
Published: August 2023

Abstract
Quantum Hall Resistance (QHR) standard replaced the physical resistance standard as a primary standard. Traditional QHR standard needs liquid helium to operate, which limits the application of the QHR standard. A graphene-based QHR standard with G-M cryocooler is realized, which does not need liquid helium and has been in operation continuously with high performance. It can meet extensive needs of accurate measurement of precision resistors and helps to promote the development of traceability flattening.
Cross-Linked Polybenzimidazoles Containing Porous Organic Cages for High-Temperature Proton Conduction
Authors: Dong Shuda , Feng Xiao 
Published: August 2023

Abstract
We prepared a series of porous organic cages (POCs) with cross-linked polybenzimidazole membranes. Because of the introduction of the POC with numerous amine groups and ultramicroporous structures in the polymers, which enhanced the PA interactions and increased free volume, the POC-PBI membranes exhibited better proton conductivity and higher acid uptake. 20%-POC-OPBI showed the highest conductivity at 47.2 mS cm−1, followed by OPBI at 27.2 mS cm−1.
Fracture Failure Assessment Analysis and Process Improvement of Vessel Bending Test
Authors: Zhang Pugen 
Published: August 2023

Abstract
The high-purity ethylene dichloride (EDC) head tower is an important pressure vessel in the vinyl chloride production process. During the manufacturing process, the bending test of 2 product specimens broke. In this paper, the failure analysis of the bending test fracture of the welding test plate was carried out, and a systematic analysis, including chemical composition, mechanical properties, and microstructure, was carried out. The causes of fracture of welded test plates during the manufacturing process of the head tower were studied. The results show that the incorrect heat treatment process leads to the extension strength, hardness, and impact performance, being lower than the standard requirements. The combined fracture analysis shows that the material is brittle, which makes the welding test board brittle fracture. At the same time, metallographic analysis shows that the steel is tempered. The comprehensive performance of duplex stainless steel in the tempered state is significantly lower than the original solid solution heat treatment performance. Thus, the bending test fracture of the welding test board of the equipment is caused by the improper heat treatment process, resulting in the microstructure and performance of the material not meeting the relevant requirements. According to the cause of the fracture, the heat treatment and welding process are improved. The heat treatment was carried out first, and then the duplex steel was welded to prevent the heat treatment state of the duplex steel supply from changing. Finally, a qualified specimen was obtained.
Design of a gravity spin-driven adsorption-based desalination device
Authors: Wu Dongqi , Guo Tianyuan , Wen Haiming 
Published: August 2023

Abstract
Based on the adsorption property of porous materials and the gravitational spin principle, an innovative design of an adsorption desalination device based on gravitational spin-driven phase change materials for heat storage and exotherm was developed. The power required for the conversion of the device compartment is provided by the gravity difference, and the position fixation of the heat insulation baffle is controlled by the magnetic clasp. The source of thermal energy required by the device follows the green and low-carbon principle, relying on sunlight to irradiate the selective coating and convert it into thermal energy, and then transfer the absorbed thermal energy to the phase change material for storage, which increases the solar energy utilization rate by about 80%. The use of phase change materials can maintain the temperature inside the hot chamber at about 70 °C, allowing water molecules to desorb from the silica gel material and water vapor to rise to the top conical roof to condense into fresh water and collect to the mezzanine water storage chamber. The cylindrical chamber is divided into two chambers, hot and cold, and the adsorption and desorption work is carried out simultaneously, with heat loss within 3%. The initial position where the heat insulation baffle is located is equipped with a magnetic buckle, which can precisely control the angle of baffle rotation. The daily water production of a single device is 8.02 kg, and the carbon emission saving is 0.1518 kg. This work is of great significance to the field of energy saving and emission reduction, and the whole can realize self-operation without an electric power drive, which is a novel way of desalination, considering the concept of energy saving and emission reduction and the full utilization of renewable energy.
Simulation Study on Dynamic Characteristics of Bubbles in Transformer Oil under Extremely Nonuniform Field
Authors: Liu Dongyao , Gao Chao , Zhou Fusheng , Chen Miaomiao , Zhao Heng , Yang Hao 
Published: August 2023

Abstract
Bubbles in transformer oil seriously threaten the deterioration of internal insulation performance during its movement, leading to severe transformer failure. A gas-liquid two-phase flow simulation model is established based on the phase field method to study the effect of bubbles on the insulation performance of transformer oil. The dynamic characteristics of bubbles in transformer oil under extremely non-uniform electric fields are studied. The results show that the electric field force has a pushing effect on the bubble. As the voltage increases, the pushing effect is more significant, and the displacement distance of the bubble in the horizontal direction is larger. The velocity curve of a single bubble in the vertical direction shows an oscillating attenuation trend. The pushing effect of electric field force on the bubble causes the bubble velocity near the needle electrode to decrease, but the stretching effect increases the average bubble velocity. When the electric field strength is further improved due to the enhanced push-off impact of the electric field force on the bubbles, the bubbles will gather under the needle electrode to form cluster bubbles, further reducing the insulation performance of the transformer oil. This needs to be paid attention to in the design of the insulation structure to avoid the accumulation of bubbles caused by too high an electric field intensity at a particular place.
The Abnormal Heating Phenomenon Of A 1000 KV Composite Insulator Based on Finite Element Simulation Calculations
Authors: Yang Jie , Li Guocheng , Chen Mianzhi , Du Gang , Li Guangmao , Wang Hongbin 
Published: August 2023

Abstract
The abnormal heating of composite insulators will accelerate the deterioration of insulation materials, which will lead to abnormal heating at the high-voltage end due to the increase of dielectric loss. In this study, a finite element multi-physical field simulation was adopted and combined with the actual field test results. Four kinds of electric-thermal coupling simulation models of the 1000 kV composite insulator were established, namely, new, aged, aged with defects, and aged with defects and accumulated contamination. The electric field simulation results showed that interface defects and surface fouling would seriously distort the electric field distribution of composite insulators. The maximum electric field increased from 3.73 kV/cm to 9.30 kV/cm. With the dielectric loss as the heat source to calculate the temperature rise, the maximum temperature rise of the aging contaminated composite insulator with defects was 17.86 K, which was similar to the field test results of the 1000 kV composite insulator. The research results provide a reference for analyzing the cause of abnormal heating failure in composite insulators.
Ignition Resistance of Pure Mg, ZM5 and ZM6 Magnesium Alloys
Authors: Wang Guangjian , Chen Xin , Cao Zhanwei 
Published: August 2023

Abstract
The use of magnesium alloys in aerospace is relatively restricted by their poor ignition resistance performance. A continuous heating test was conducted to investigate the ignition resistance of pure Mg, ZM5, and ZM6 magnesium alloys with different alloying elements. It was found that alloying elements greatly influenced the ignition resistance of magnesium alloys. With about 2% addition of Nd rare earth element, ZM6 had a higher ignition temperature than pure Mg. In comparison, the ignition temperature of ZM5, which contains mainly about 8% Al alloying element, was lower than that of pure Mg. Analysis of high-temperature surface oxide film reveals that the higher ignition temperature of ZM6 resulted from a protective Nd2O3 oxide film formed on the oxidized surface. Alloying with rare earths can improve the ignition resistance of magnesium alloys.
Numerical Simulation Research on Vibration Isolation Performance of Concrete Foundation Platform
Authors: Wu Jun , Zheng Zhaoli , Zhao Zhenxing , Li Yong , Lv Weijian 
Published: August 2023

Abstract
The simulation analysis model of the concrete experimental foundation platform is constructed by the method of three-dimensional computer-aided design (3D CAD) and three-dimensional computer-aided engineering (3D CAE). The influence of the slotting depth and width on the concrete structure’s vibration isolation performance is analyzed in detail. The results show that as the slotting depth increases from 0 m to 4 m, the total vibration acceleration level of the concrete inner side structure decreases by 12.27 dB. The vibration isolation performance of the foundation platform is highly sensitive to the slotting depth. As the slotting width increases from 0.5 m to 2 m, the total vibration acceleration level of the concrete inner side structure is always maintained within the range of 8.8 dB–8.9 dB. The total vibration acceleration level of the foundation platform changes little. Vibration isolation performance shows low sensitivity to the slotting width.
A Health Status Assessment Method of Switchgear in Substation Based on Digital Twin Technology and Random Matrix Model
Authors: Yuan Xiang , Zhang Lijun , Yu Chutian 
Published: August 2023

Abstract
The methods for maintaining and monitoring the condition of the power system have changed significantly with the advancement of modern communication and information technology. A strong foundation for the use of digital twin technology and data science in the diagnosis of switchgear health status is provided by the efficient collection of enormous, high-dimensional equipment operation data. This research proposes a digital twin technology-based and random matrix model-based substation switchgear diagnosis approach. The health status of the switchgear can be estimated by mining the potential value of high-dimensional switchgear operation data and relying on data science techniques like high-dimensional statistical analysis and artificial intelligence. This will give maintenance personnel strong support as they develop response strategies.
Intelligent understanding algorithm of aerial visual inspection image based on deep learning technology
Authors: Yao Nan , Chen Wei , Qin Jianhua , Shan Guangrui 
Published: August 2023

Abstract
At present, there is a problem that the efficiency and accuracy of the safety belt wearing detection method for aerial patrol workers are not ideal. In order to solve this problem, based on the deep learning technology, a safety belt specification wearing detection model is constructed. First, in view of the low quality of image data, wavelet transform and Gaussian curvature filter are used to preprocess the image. Aiming at the defect of poor performance of convolutional neural network (CNN), Gabor local features and Momentum algorithm are used to improve it. Finally, combined with the above content, a safety belt specification wearing detection model based on improved CNN is constructed. The results show that the loss value of the model is 0.51, the accuracy rate is 98.14%, the Recall value is 95.04%, and the AUC value is 0.971. Therefore, the model built in the study can detect the wearing of safety belt with high efficiency and accuracy, and ensure the safety of staff.
Observations of Love Wave Dispersion Properties Using Seismometers and Component Strainmeters
Authors: Wang Xiaolei , Xue Bing , Zhu Xiaoyi , Cui Rensheng , Gao Shanghua , Zhang Bing , Su Peng 
Published: August 2023

Abstract
With amplitude ratio of two different types of ground motion, the information of phase velocity could be reflected in the frequency-dependent in the assumption of plane-wave propagation. In this paper, we test the possibility of determining local Love waves dispersion properties using transverse velocity and strain measurement. With the strain seismic wave recording of the four-component borehole strainmeters built at the Balun seismic station in Xinjiang, China., we estimated the Love wave phase velocities using amplitude ratios between transverse velocity and shear strain components. The results show the possibility that we could recover general Love wave dispersion characteristics that conformed to the realistic local structure at periods ranging from 20-120 s.
Flame Recognition and Localization Based on Convolutional Neural Network
Authors: Li Zhaoji , Dai Weibing 
Published: August 2023

Abstract
Target detection and flame identification play a critical role in the industry. Unfortunately, current inspection systems are unable to reliably and easily identify flames. For this reason,, a convolutional neural network Alexnet is proposed for target detection. A webcam approach is used for image capture and collection, followed by network training. The target detection and recognition of flames are finally completed. Experimental results demonstrate that the algorithm as well as the Alexnet network can efficiently and accurately identify localized flames.
Deep learning to design Z-FFR device models
Authors: Yuan Zilong , Qu Fanyu , Xiong Wenbin , Liu Pan , Qiao Hongwei , Gao Qiang , Liu Gaoyang , Liu ChenCheng , Tang Zhangchun , Shi Yan 
Published: August 2023

Abstract
Z-Pinch fusion centre, encased by a fission envelope, serves as an individual neutron source. It can expeditiously catalyze fission reactions in 238U and 232Th nuclear materials, which are hard to use in current commercial nuclear reactors. This is the essence of the Z-Pinch Driven Fusion-Fission Hybrid Reactor (Z-FFR). The fusion core acts as a stand-alone neutron source, efficiently driving fission reactions in nuclear energy materials that are difficult to use in existing commercial nuclear reactors, such as 238U and 232Th. Then it can deliver enormous amounts of energy in a stable and controlled manner. This new type of reactor uses the fact that the fission discharges energy (∼200 Megaelectronvolts) and the neutrons’ number released is much greater than that released when the fusion discharge energy (∼17 Megaelectronvolts). Moreover, the neutrons’ number is released to achieve energy amplification and neutron amplification, significantly makes it less difficult in implementing fusion technology applications, and increases the utilisation of nuclear energy resources by more than one order of magnitude. The Z-FFR has a complex design and covers a wide range of physical processes. The use of deep learning to design the device model allows for a more closely engineered model. Deep learning allows the model design to be decomposed, the Z-FFR design data flow to be analysed and optimised, and the tedious physical process to be turned into a deep learning network layering so that we can obtain an accurate physical model. The deuterium-tritium combustion depth parameters obtained by deep learning reach around 30%, demonstrating the ability to achieve fusion self-sustained combustion.
Vehicle Obstacle Avoidance Path Tracking Control Based on Constraint MPC
Authors: Miao Baorui , Han Chao , Yang Jikun 
Published: August 2023

Abstract
In the process of obstacle avoidance, there are some problems such as low precision and poor safety in the path tracking of intelligent vehicles. To solve these problems, a model prediction controller with soft constraints is designed in this paper. The controller adopts the vehicle motion model, according to the radius of the circumcircle of the obstacle and the vehicle, and the anti-collision constraint condition is constructed to improve vehicle safety. The vehicle tracks its path using a model predictive control (MPC) algorithm. Sideslip angle and acceleration control variables were introduced as soft constraints to improve vehicle path tracking accuracy. The simulation was carried out by CarSim and MATLAB/Simulink platforms. The results show that the constrained MPC control algorithm is advanced in the accuracy and stability of trajectory tracking control under high-speed obstacle avoidance.
Optimization of Control System for Electromagnetic Heating Cigarette Device
Authors: Li Zhiqiang , Li Zhaoyuan , Guo Mingqiang , You Junheng , Li Shoubo , Han Yi , Zhu Donglai , Li Tinghua 
Published: August 2023

Abstract
To solve the problems of electromagnetic heating cigarette devices in heating speed and temperature control accuracy, the optimization of the control system was carried out based on the current device. And the special control system for the electromagnetic heating cigarette device was designed, which was powered by a lithium battery device and designed with a half-bridge push-pull double resonant capacitor. According to the test, the prototype can preheat at 350 °C in 7 seconds at the fastest, with an average rate of 44.33 °C/s; The maximum temperature deviation at the constant temperature stage cannot exceed 5 °C, and the temperature control accuracy can be ± 1.47%; in the simulated suction stage, the prototype can be warmed back from 280 °C to 340 °C in 3 seconds. Compared with the original dual-tube single-capacitor resonant circuit, it has nearly double the heating power. The experimental data shows that the temperature rise rate and temperature control accuracy was significantly improved, giving full play to the performance advantages of electromagnetic heating.