bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on stamping forming prediction of aluminum alloy sheet based on RBF neural network
Authors: Zhao Pengjing , Yang Yo-Lun , Gao Peng , Jiao Jingpin 
Published: December 2022

Abstract
In order to accurately predict and reduce the possible defects in the stamping process of an aluminum alloy sheet, the simulation data of the sheet thickness for the 6016 aluminum alloy in the stamping process were obtained by the Hill’48 yield criterion based on finite element ABAQUS/Explicit solver. Taking blank holder force, friction coefficient, stamping speed, and die clearance as input parameters, the radial basis function (RBF) network model for predicting the maximum thinning rate of the stamping aluminum alloy sheet was established. The results show that the RBF network model constructed in this paper has high precision and can reflect the complex relationship between the stamping process parameters and the maximum thinning rate well by comparing the finite element simulation and neural network prediction results. It is of great significance to improve the optimization efficiency of the stamping process of the aluminum alloy sheet and reduce the actual experimental cost.
Simulation analysis and research of cylindrical lithium battery pack automation equipment system
Authors: Wang Li , Chen Hui , Ye Qian 
Published: December 2022

Abstract
The performance difference of the single battery has a significant impact on the cruising range, service life, charge and discharge control of an electric vehicle that uses multiple batteries as the power battery. Highly consistent performance is an essential process for lithium battery production. In order to verify the performance of the lithium battery automatic pack system, this paper used Flexsim software to establish a system simulation model, used the Dashboard data statistical method to analyze the running data of the simulation model, completed the system construction and testing, and used SPSS statistical analysis software to analyze the system test results. Using the paired sample T test, we verify that the system matching test results are accurate, that the cylindrical lithium battery matching automation equipment system has complete functions, is simple to interact with the computer, and meets the system design requirements.
Optimization Design and Simulation of Frequency Conversion and Speed Control Integrated Machine
Authors: Tian Cong , Wei Xiwen , Pang Peng , Tang Taiqing , Luo Ji 
Published: December 2022

Abstract
In order to realize the rapid start of equipment, the direct start method is widely used in domestic fully mechanized coal mining equipment, which forms a great starting impulse current and reduces the service life of the equipment. If a frequency converter is used to start the equipment with frequency conversion, it will face the problem of a large area and it is difficult to apply it underground. In response to this problem, the integrated variable frequency speed regulation machine studied in this paper adopts an integrated design to meet the needs of underground coal mines. The purpose of this paper is to optimize the design and simulation of the variable frequency speed control integrated machine. The experiment, which was conducted on the design of the integrated variable frequency speed regulation machine based on the optimized design, involved the experimentation and analysis of the design of the integrated variable frequency speed regulation machine for mining. Using the induction motorized structural dimension meter formula, a simulation test was conducted to compare the mining variable frequency speed regulation integrated machine with others.
Extensible Mecanum wheel intelligent car
Authors: Zhao Fanguang , Chen Congying , Chen Xiaodong , Zhang Mingyang , Yin Jie , Ren Ziqiong 
Published: December 2022

Abstract
Today, with the rapid development of robots, intelligent robots can bring us a lot of convenience in all aspects of life. Dangerous and difficult operations can make machines that can adapt to the changes in work tasks and working environments replace manual work. At the same time, they can also ensure personal safety, reduce labor intensity, improve labor productivity, and reduce production costs. As an intelligent mobile robot driven by multiple wheels, the intelligent car has the advantages of small size, lightweight, low cost, and convenient operation. When encountering complex terrain, it is particularly important to study the environmental adaptability and obstacle-surmounting ability of the car. The key technologies of terrain adaptability and obstacle surmounting include obstacle identification, azimuth and distance measurement, and wheel structure design.
Research on VDG Control Strategy in Hybrid Energy Storage System of Photovoltaic DC Microgrid
Authors: Zhang Jinshuo , Zhao Feng 
Published: December 2022

Abstract
With the access to many energy storage devices in the Photovoltaic DC microgrid, energy storage converters are also widely used, which have the characteristic of low inertia. Therefore, there are problems of low inertia in the optical storage DC microgrid system, which contains an energy storage converter, and the instability of the system causes by the fluctuation of micro-source and load mutation. In order to solve the existing problems, the paper proposes a Virtual DC Generator (VDG) control strategy based on the traditional double closed-loop control strategy in the hybrid energy storage system (HESS) of a photovoltaic DC microgrid. Applying this proposed control strategy can make the inertia and damping characteristics introduced into the converters, which provides sufficient inertia support for the optical storage DC microgrid and further improves the voltage quality. The microgrid system is modeled and analyzed based on VDG. The results show that the VDG control strategy effectively reduces power fluctuation of the hybrid energy storage and improves the stability of the microgrid system.
Life evaluation of rolling element bearings using stochastic neighbor embedding deep regression
Authors: Cheng Zhiwei , Li Xuejiao , Deng Yongsheng , Wang Xiaodan 
Published: December 2022

Abstract
Accurate residual service life (RSL) evaluation of rolling element bearings is significant for prognostics and health management to guarantee rotating machinery safety, availability, and efficiency. This work develops a method called stochastic neighbor embedding deep regression (SNEDR) to enhance the estimation performance of the RSL. First, the appropriate features originating from the vibration data of the tested REB are extracted. The state indicators are subsequently established with the extracted features by introducing the stochastic neighbor embedding. By doing that, the random errors and noises generated from the vibration signals can be minimized, and the evaluation performance may be improved. Finally, the regression model based on the state indicators and the long short-term memory network with time information representation capacity is generated for the RSL evaluation. The availability of the SNEDR is validated by the real data derived from a bear failure experiment. Furthermore, a peer method is introduced for a comparative study. Experimental results show that the SNEDR outperforms the competing method and can yield more reasonable and accurate evaluation results.
Path planning algorithm based on improved Bidirectional RRT
Authors: Qin Tianhao , Xin Shaojie 
Published: December 2022

Abstract
This paper studies the autonomous path planning of unmanned vehicles in a known driving environment. The path planning algorithm used is a hybrid algorithm combining bidirectional fast random search tree and artificial potential field method. On the basis of introducing the principle of the two algorithms, an improved algorithm combining Bi-RRT and artificial potential field is proposed. In order to reflect the advantages of the improved algorithm, the traditional RRT and Bi-RRT algorithms are simulated and compared in Matlab.
A comparative study of methods for calculating the exploitable amount of tidal energy
Authors: Ye Zhou , Gu Wenwei 
Published: December 2022

Abstract
As a kind of clean renewable energy, tidal current energy has a great prospect of development and utilization in China's coastal areas, but there is no unified method for evaluating tidal current energy resources. This paper firstly simulates the tidal field in Zhoushan sea based on a numerical model, analyzes the overall characteristics of tidal currents in the sea, selects the Guimen Channel with high energy density, and compares four tidal energy calculation methods, namely the Farm method, the Flux method, the Garrett method and the Lidan method, which are widely used at present, to evaluate the exploitable amount of tidal energy in the region. The results show that the results of Farm, Flux, and Lidan methods are in good agreement, while the conclusions of the Garrett method are more different from these three methods, and the differences may be related to their assumptions. The annual average current velocity in this area can reach 1.97 m/s, and the highest current velocity exceeds 4.5 m/s. The average water depth is 40 m. The exploitable tidal current energy is above 40 MW, which is suitable for large-scale installation and provides some reference for the local tidal current energy development and utilization.
A selection scheme for energy storage to participate in primary frequency regulation of new energy
Authors: Zhao Song , Li Rongli , Zhao Wei , Zhou Lei , Li Xu , Yu Haicun , Zhang Qian , Du Ronghua , Huo Hongyan , Dang Shaojia , Xin Xiaogang , Zhang Guobin , Guo Ruijun , Yin Jianhua 
Published: December 2022

Abstract
The choice of energy storage is the key content of the energy storage plan and design to participate in the primary frequency regulation of new energy. It involves many indicators such as safety, primary frequency modulation adaptability, economy, and environmental performance, and is a complex multi-objective decision-making problem. This paper analyses the characteristics of each index and constructs a two-level decision-making system. According to expert scores and practical application requirements, the weight of each decision-making index is obtained by the AHP method. The TOPSIS method is further used to select energy storage according to the weight of each index and related parameters.
A Load Optimization Scheduling Method of Community Energy Platform Based on Community Power Demand
Authors: Ji Xiaoheng , Lu Xueying 
Published: December 2022

Abstract
With the rise of electric vehicles and the increase of electric vehicle charging pile equipment in the community, the community is prone to the problems of large peak-to-valley difference and high electricity cost during the peak period of the power load. Aiming at this problem, this paper established a community energy platform model according to the different electricity load characteristics in the community. Taking the minimum difference between the peak and valley of the community electricity load and the minimum total electricity cost as the objective function, the improved constrained multi-objective particle swarm algorithm was used to optimize the scheduling of the community power system, and it was verified by an example. The results showed that by effectively regulating the output of electric vehicle charging, residential air conditioning, commercial air conditioning, and energy storage, the load peak in the community during the peak period of electricity consumption could be greatly reduced. It could effectively realize peak shaving and valley filling, reduce the cost of electricity consumption in the community, and improve economic benefits.
Research on the laws and influence factors of venting process in natural gas pipeline
Authors: Jin Wenbo , Wang Panfeng , Quan Qing , Yang Yunbo , Wang Shouxi 
Published: December 2022

Abstract
This paper simulates the pipeline venting process using TGNET software and proves the changing laws of venting time with pipeline venting pressure, temperature, and instantaneous flow. Moreover, the venting process with different truck-line pressure, venting-pipe diameter, venting-pipe length, and valve opening are simulated, and it is concluded that an increase in truck-line pressure and venting-pipe length will extend the venting process with venting time becomes longer and pressure drop becomes slower. While an increase in venting-pipe diameter and valve opening will speed up the venting process with venting time becoming shorter and pressure drop becoming greater.
Design of Energy-saving System for Hydraulic Scissor Lift Based on Accumulator
Authors: Gu Shiqian , Qi Guohui 
Published: December 2022

Abstract
The hydraulic scissor lift is a widely used special lifting equipment. In its repeated ascent and descent, the gravitational potential energy of its platform is wasted. To address this problem, a new energy-saving system based on hydraulic accumulator is proposed in this paper. A simulation model of the system is established. The simulation shows that the system can recover up to 73% of the gravitational energy while reducing the installed power of the electric motor by 60%, specifically from 5.5 kW in the baseline design to 2.2 kW in the new system. In conclusion, the proposed system can significantly improve the energy utilization efficiency of the system. This paper shows a reference for machinery similar to a hydraulic scissor lift.
Numerical Simulation of Gas-solid Jet Fire in Natural Gas Pipeline Leakage
Authors: Liu Xiao , Liu Hongtao , Zhang Quan , Zhang Xuliang , Li Ning , Wang Zhiyuan 
Published: December 2022

Abstract
Aiming at the problem that gas-solid two-phase jet flame formed by jet fire entrained by natural gas pipeline leakage is less studied, the gas-solid two-phase jet and pure gas-phase jet flame models formed by natural gas pipeline leakage are established by FLUENT software. The differences between the gas-solid two-phase jet and the pure gas-phase jet flame were comparatively studied, and the effect of different particle size on flame height, temperature and radiation of gas-solid jet was analyzed. The results indicate that the solid particles entering the flame will lead to a lower temperature compared to a gas-jet-only flame. The larger the mass flow of solid particles is, the lower the flame temperature of the gas-solid jet will be, and the corresponding flame height and radiation hazards are also reduced. The present study findings can be used for the purpose of studying gas-solid two-phase jet flame in leakage of natural gas pipelines.
An electrical schematic solution for superconducting fault current limiter access to the power system
Authors: Ding Wei , Jian Xianghao 
Published: December 2022

Abstract
High-temperature superconducting current limiters (SFCL) can suppress the short-circuit current of the power grid effectively. The 220kV and 35kV SFCL have been applied and connected to the power system in China. The 500kV SFCL equipment has been developed through the prototype and has the conditions to access the power grid. In this paper, the possible fault conditions of SFCL and the electrical scheme for connecting to the power grid are studied. The low-temperature system of SFCL is the weak point of the equipment that is prone to failure. An electrical schematic solution is proposed according to the characteristics of the SFCL equipment. This solution has the advantages of high reliability, flexibility, and convenient operation and maintenance, and it can be applied to various voltage levels of the power system.
Study and early warning of comprehensive distribution box state based on maximum likelihood parameter estimation of Weibull distribution
Authors: Ji Degui , Sun Bo , Chen Xiaolei , Zhang Yan 
Published: December 2022

Abstract
With the expansion of the power grid scale and the improvement of distribution box automation, the structure of the distribution network has become more complex, and the maintenance task is heavy. The traditional post-maintenance and regular maintenance modes could not satisfy the requirements of distribution network equipment operation reliability. Firstly, according to the maintenance mode, the failure rate curve is proposed based on Weibull distribution. The service age reduction factor and the current failure rate of the equipment are mapped in this paper to the failure rate curve based on Weibull distribution. Secondarily, they are used to calculate the actual service age of equipment. The annual failure rate of equipment is used to count and determine the failure rate increment factor. Thirdly, the ant colony algorithm is applied to Weibull distribution maximum likelihood parameter estimation. Finally, an example analysis verified that the parameter accuracy of ant colony algorithm estimation is higher. Thus, the correctness of the state-based equipment failure rate estimation method is verified, which lays a foundation for the formulation of a maintenance plan.
Design of A Grid-connected Control System for Distributed Photovoltaic Power Generation Based on PLC
Authors: Zhu Shaofei , Hu Chao 
Published: December 2022

Abstract
Distributed photovoltaics interfere with continuous power generation after grid connection. In the face of the failure of a single module, the current grid-connected control system needs to readjust system parameters to flexibly adapt to equipment operating conditions. Therefore, this paper is researching a photovoltaic power generation grid-connected control system based on PLC. In the hardware part, PLC is used to complete power generation control, monitoring MCU, data acquisition, control, and other modules. In the software part, the grid-connected state is optimized and controlled according to the distributed photovoltaic output power and the remaining energy storage capacity. The PLC is the execution center, which will control the on-off state of the equipment switch after the data operation. The experimental results show that the designed system can optimally control the power generation and energy storage units according to the power change, reduce the cost of electricity consumption through the adjustment of charge and discharge, reduce the IO usage rate, and improve the concurrent response ability of users. The design system not only guarantees the quality and efficiency of photovoltaic grid connection but also realizes rapid networking and independent tracking of power points to meet the requirements of flexible communication.
Construction of Marginal Effect Model for Reliability Improvement of Urban Distribution Network
Authors: Zhang Ying , Gong Ruibang , Gu Jiangbo , Wang Yuchen 
Published: December 2022

Abstract
With the development of the social economy in China, China’s power grid is facing severe challenges. In addition to effective supply, the more important thing is to provide the reliability of the power supply for the existing distribution network. The power supply reliability of the distribution network directly affects the safety and reliability of power users, and also relates to the development of power supply enterprises. To realize the safer and more stable operation and development of urban distribution networks, this paper researches the construction of a reliability enhancement marginal effect model of urban distribution networks. By determining the factors that affect the reliability of distribution network operation, the marginal benefit model is selected to construct the index. The specific value of the index and the boundary conditions of the model are set. The reliability improvement marginal benefit curve is analyzed in depth; and finally, the specific value of the reliability index marginal benefit is calculated. The new model is applied to the distribution network in the old urban area of a city, and the relationship between each index and reliability and marginal benefit is clarified. According to the analysis results, the future construction and development direction of the distribution network in the old urban area of the city is fully clarified, and the path scheme of reliability improvement is given according to the degree of urgency. Through the use of the marginal effect model, it can provide a more effective reference for the improvement of national distribution network reliability and the decision-making of distribution network construction planning projects.
Research on Urban High Voltage Power Network Harmonic Transfer and Emission Level
Authors: Ye Shangxing , Liu Hongyi , Liu Xueying , Jiang Youhua 
Published: December 2022

Abstract
With the rapid growth of urban power transmission cable scale, the harmonic pollution in the high-voltage power grid is more transmitted to other power grids of different voltage levels, which makes the harmonic transmission more complicated, increases the harmonic emission level, and makes it difficult to quantitatively analyze and study the allowable value of users’ electrical pollution emission. Therefore, in this paper, by establishing the harmonic conduction model of the urban high-voltage power grid and considering the equivalent circuit of transformer and transmission cable in the urban power grid, the parameters of transmission cable harmonic transfer coefficient and the allowable emission value of power quality pollution of the urban power grid are deduced and quantitatively analyzed. Then the harmonic transmission and mutual influence of urban power network harmonics in power transmission cable are analyzed through examples, which is helpful to determine the allowable value of harmonic pollution emission scientifically and reasonably.
A Study on Energy Saving of Condensate Pump Speed Regulation improvement for CPR1000 Nuclear Power Unit
Authors: Gan Changxian , Li Huahuan , Hu Yanjun , Yang Jinqiu , Li Zhenghui , Yang Yonghong 
Published: December 2022

Abstract
To reduce the energy consumption of nuclear power plants, this paper studies the control mode of changing the condensate pump frequency to variable speed regulation, using permanent magnet flexible transmission technology to change the speed of the condensate pump, and the control strategy of deaerator water level and the outlet pressure of condensate pump is redesigned to achieve the purpose of energy saving. Through the study of control strategy, process design analysis, theoretical calculation, and process simulation of the full-range simulator, the feasibility of the proposed method is confirmed, which provides an important reference for the improvement of energy saving and speed regulation of auxiliary machines in nuclear power plants.
Research on the Influence of Ecological Flow on Cascade Short-term Power Generation Operation in the Baishui River Basin
Authors: Zhou Jia , Liang Chusheng , Tao Xiangming 
Published: December 2022

Abstract
Cascade hydropower station uses natural runoff and outflow from upstream reservoirs as the “fuel” for power generation, while the discharge of ecological flow directly affects the storage capacity. For hydropower stations without ecological units, the discharge of ecological flow will inevitably affect the power generation capacity of the cascade hydropower stations. The design of the Baishuijiang cascade hydropower station has requirements for ecological flow discharge, but the requirements and standards of ecological flow in actual operation and management are not uniform, resulting in the unclear implementation of ecological flow. By investigating the construction and solution of the short-term optimization scheduling model, this paper analyzes the impact of ecological flow discharge on the power generation of the Baishuijiang cascade hydropower station. The research results can provide a reference for further clarifying the ecological flow standard of the Baishuijiang cascade hydropower station and guiding its production and operation.