bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Simulation and Analysis of Engagement Process for Logarithmic Spiral Bevel Gear Based on Accurate 3D Model
Authors: Xiao Yang , Hou Shengyu , Dai Shuling , Xu Xinfeng , Zhang Jie 
Published: January 2022

Abstract
Based on the accurate 3D model of logarithmic spiral bevel gear, the operation of spiral cone gear engagement is analyzed and simulated by ANSYS. Through the nonlinear static contact analysis of different positions, the stress change rule and the maximum contact stress is obtained. Compared with the theoretical contact stress strength rule, this paper also analyzes the dynamic operation situation of the gear pairs, obtains the dynamic contact situation rule at different engagement times and different rotating speeds, the influence of the rotating speed on the gear contact characteristics is compared too. The static, dynamic performance and change rules of the gear engagement is obtained, which lay a solid foundation for the further research, design and manufacture of spiral bevel gears.
Simulation Research on Automatic Compensation Technology of ADN Based on Neutral Point Active Compensation
Authors: Chen Qihao , Chen Li’an 
Published: January 2022

Abstract
When the single-phase grounding fault occurs in the distribution network, the neutral point via the arc suppression coil grounding mode can effectively reduce the fault current and realize the self-extinguishing arc. However, as a large number of distributed generator and power electronic devices are connected to the distribution network, the structure of the network becomes more and more complex. In order to effectively reduce the fault current, the 10 kV active distribution network (ADN) was taken as the research object for simulation in this paper, and the support vector machines (SVM) algorithm were used for training by extracting the fault components, the neutral compensated current components and so on as eigenvalues. Used the controller to judge the system compensation state and complete the automatic compensation. The results show that under ideal conditions, the judgment time of the algorithm is 0.32 ms. And the algorithm can quickly respond to the fault component, improve the response speed and reduce the damage to electrical equipments.
Optimization Method of Overall Parameters of Dual Pulse Missile Based on Surrogate Model
Authors: Cui Shenghui , Zhang Shifeng , Bai Xibin 
Published: January 2022

Abstract
In this paper, the optimization method of missile overall parameters design based on surrogate model and the trajectory simulation system of three degree of freedom(3-DOF) dual pulse missile are established. An adaptive sampling point update method including three stages of potential feasible region location sampling, exploration sampling and potential optimal sampling is established. The adaptive sampling is realized through the constraint of distance. The convergence end criterion is established based on the accuracy of surrogate model, which can achieve efficient and reliable global optimization. By deriving the objective function of the optimization problem, the minimum take-off mass is determined, and reasonable constraints are set to ensure the speed and range requirements of the missile. The optimization algorithm based on surrogate model solves the problem of overall parameter design optimization of dual pulse missile and summarizes it.
Research on Chain Fault Prevention Model Considering Voltage Stability
Authors: Deng Huiqiong , Chen Xinyun 
Published: January 2022

Abstract
In this paper, we aim to prevent and control the chain tripping phenomenon in the pre-chain fault stage of the power grid, and use the L index and node injection power as the safety index to indicate the voltage stability of the power grid and the safety level of the current operation state of the power grid by adjusting the power output of the generating units. Based on this index and considering the various constraints of the grid, a preventive model is given to make the grid have the highest possible safety level against chain tripping and at the same time improve the voltage stability. In this paper, the prevention model is established based on the particle swarm algorithm, and the simulation results prove the feasibility and effectiveness of the proposed prevention model on the IEEE39 node system.
Research on Modelling Method of Natural Illuminance Based on RBFNN
Authors: Zhang Yujie , Guo Jing 
Published: January 2022

Abstract
Aiming at the problem that the indoor natural illuminance is difficult to calculate accurately due to many complex factors in the environment. This paper proposes a method to establish the natural illuminance model by using radial basis function neural network (RBFNN). The RBFNN was trained by collecting indoor natural light data to obtain the benchmark model for calculating the natural illuminance distribution. The illuminance sensor arranged indoors was used to measure the real-time natural illuminance, and the output of the benchmark model was modified accordingly, so as to obtained a model that could calculate the real-time natural illuminance at any point in the room. The experimental results show that the maximum normalized error between the calculated and measured illuminance values of the model in this paper is no more than 15%, and the error of most test data is less than 8%, which solves the problem of accurate calculation of indoor natural illuminance, so as to provide support for indoor lighting control system.
Modeling and Simulation Analysis of the Temperature Field of High Speed Missile Cabin
Authors: Yi Long , Li Yuliang , Ouyang Jindong , Zhu Liyuan , Zhang Yaoqing 
Published: January 2022

Abstract
A temperature field analysis method is developed for the cabin of high-speed missile. The high fidelity three-dimensional model of the thermal protection system is build based on the finite element method, including structure and equipments inside the cabin. The model can express the heat conduction path, radiation relationship and the heat capacity of the equipment. The aero-heating and heat transfer are solved simultaneously. The convection coefficient relevant to experiment is used to simulate the heat transfer of the gas in the cabin. It can be used to large-scale engineering calculation for the thermal protection system of high-speed aircraft. The numerical example of a head cabin for high-speed missile shows that the obvious regional characteristics of the surface temperature outside the cabin is presented, which reflects the coupling effect of aero-heating and cabin structure. The temperature of the equipment in the cabin rises due to radiation and convection heat transfer. Heat capacity of the equipment and natural convection in the gap have obvious influence on the rate and amount of temperature rising. The developed APDL command stream can integrate commercial software of CAD and CAE. It is suitable for large and complex engineering structure because of the advantages such as high computational efficiency and strong portability.
MD Simulation of the Laser Effects on Stopping for B+ Ion in Plasmas
Authors: Li Pengfei , Wang Guiqiu , Duan Yi , Yi He , Wang Jian , Wang Shixuan 
Published: January 2022

Abstract
In this work, the laser effects on the stopping for boron ion in plasmas are studied by molecular dynamics (MD) simulation. The expressions of the stopping power is derived based on the potential. The effects of different laser intensity, laser frequency, laser angle, plasma density and electron temperature on the stopping power of B+ ion are discussed. The results tell that the stopping power of B+ ion will decrease significantly with the increase of laser intensity, and the laser intensity has a strong modulation effect on the stopping power. On the other hand, when the included angle between the laser and the moving direction of boron ion is in the range of 0 to π / 2, the stopping power decreases gradually with the increase of the projectile angle. On the other hand, the influence of plasma parameters on the stopping power of boron ions is also very obvious. When other parameters are given, the increase of plasma temperature or the decrease of plasma density can decrease the value of stopping power.
A Strabismus Surgery Parameter Design Model with WGAN-GP Data Enhancement Method
Authors: Tang Renhao , Wang Wensi , Meng Qingyu , Liang Shuting , Miao Zequn , Guo Lili , Wang Lejin 
Published: January 2022

Abstract
The purpose of this paper is a machine learning model that could predict the strabismus surgery parameter through the data of patients as accurately as possible. A strabismus surgery parameter design model’s input is a Medical records and return is a surgical value. The Machine learning algorithms is difficult to get a desired result in this process because of the small amount and uneven distribution strabismus surgery data. This paper enhanced the data set through a WGAN-GP model to improve the performance of the LightGBM algorithm. The performance of model is increased from 69.32% to 84.52%.
Temperature Field Simulation and Structure Improvement of 12kV Switchgear
Authors: Zhao Yanjie , Chen Li’an , Qiao Rui 
Published: January 2022

Abstract
Aiming at the heating problem of 12kV switchgear, the model of its main circuit module was established and simplified. Then, the temperature field and airflow field were simulated by finite element analysis software ANSYS. Besides, the distribution of temperature and airflow in the circuit breaker room was analyzed respectively and the heat dissipation structure of the switchgear was improved. Finally, two axial fans were installed at the top of the switchgear and the ventilation hole was designed at the bottom. The simulation results showed that this method can accelerate the air convection and reduce the temperature rise effectively. With the continuous increase of distribution network capacity, switchgear would have overheating problem during the long-term operation. If this problem cannot be solved, it would affect its insulation performance and even cause safety accidents. This study provides a reference for the design of switchgear and solves its overheating problem.
Application of Linear Programming Modeling in Multiwave Missile Launch
Authors: Ou Qitong , Du Chenhong 
Published: January 2022

Abstract
Linear programming modeling is mainly concerned with solving the maximum or minimum value of a linear function under a group of linear constraints. It has been widely used in many subjects and fields. As an application example of linear programming, this paper decomposed two-wave salvo into three steps, used Floyd algorithm and 0-1 programming to complete the task allocation model, and used Dijkstra algorithm to carry out path planning for the subsequent transfer of missile vehicles, and designed the transfer path with the highest survival rate.
Numerical Simulation of Impact Resistance of Composite Honeycomb Sandwich Radome under High-Speed Impact
Authors: Shen Yang 
Published: January 2022

Abstract
In order to study the impact resistance and dynamic response of the composite honeycomb sandwich radome under high-speed bird impact, a simulation model of the bird impacting composite honeycomb sandwich radome with glass fiber reinforced composite (GFRP) panel and meta-aromatic polyphthalamide honeycomb (NOMEXR) core is established through the finite element simulation software LS-DYNA. The effects of thickness distribution of the upper and lower panels of the radome, and the layering angle of the upper panel on the impact resistance of the radome are studied. The research results show that the increase in the thickness distribution of the upper panel is a positive gain for impact resistance of the radome. Inserting some other angled layers in the orthogonal layer can improve the impact resistance of the honeycomb sandwich structure.
A Model for the T-shaped Beams with Straight Haunches for Uniformly Distributed Load
Authors: Luévanos-Rojas Arnulfo , López-Chavarría Sandra , Medina-Elizondo Manuel 
Published: January 2022

Abstract
This paper shows a model for the T-shaped beams with straight haunches under uniformly distributed load that considers shear and bending deformations to obtain the fixed-end moments, carry-over and stiffness factors, which is the main part of this investigation. The methodology used is the conjugate beam method to obtain the rotations in supports and by the superposition method is solved this problems type. The current model considers only the bending deformations, and some authors consider bending and shear deformations for some proportions that are shown in tables. A comparison among the proposed approach that considers shear and bending deformations against the current model that considers bending deformations only are presented in the tables and graphics. A significant advantage of this paper over any other document is that is not limited to certain dimensions or proportions, and it can also be used for TT-shaped or TTT-shaped beams, which is commonly applied in highway bridges.
Simulation and Analysis on the Influence of Diamond Blade Cutting Parameters of Grinding Wheel Dicing Saw
Authors: Ma Yan , Jiang Xingqiao , Cao Zhengdi , Liu Huang , Li Dongxu 
Published: January 2022

Abstract
In this paper, the cutting model of the dicing saw based on ANSYS simulation was established. Through coupling analysis, the force distribution and deformation of the cutting chip of the diamond grinding wheel cutter were simulated. The full-parameter solid modeling of the aerostatic spindle was carried out to analyze the influence of fixed cutter diameter, machining parameters and condition changes on spindle vibration. The blade thickness, whether to add coolant or not, and the influence of different spindle speed on spindle vibration were studied. The influence of different blade thickness on spindle vibration when the tool diameter is fixed is analyzed. The effect of different tool diameters matching different tool thicknesses on spindle vibration is discussed. Analyze the vibration of the spindle under different diameters. In the experiment, the spindle vibration was measured by changing the cutting parameters, and the root mean square value was used as the evaluation index to analyze the influence of the cutting parameters of the grinding wheel’s diamond blade. The vibration of different diameters and different spindle directions was analyzed. The experimental results show that the above analysis method is feasible within the allowable error range, which provides a powerful reference for the future theoretical research.
Simulation and Analysis of Characteristics on Type of Variable Cross-section Free Film Air Spring
Authors: Tang Chuanyin , Shen Tao , Pan Lv , Fan Shi 
Published: January 2022

Abstract
The stiffness formula of rolled ear variable cross-section air spring is obtained. Due to the strong nonlinear characteristics of the free-film air spring with variable cross section, the possible chaotic phenomena of the air spring are analyzed, and its behavior under deterministic excitation is explored, and simulation of the phase trajectory diagram and time history curve of the system under periodic motion and chaotic motion are obtained. The vehicle analysis model of variable section free film air suspension with rolled lug is established. According to the requirements of national standards, the simulation analysis of manipulation stability experiment is carried out, and the evaluation value of simulation results is obtained.
Research on Underground Space Application of Multi-storey Complex Structure Based on Agent-Base Continuous Model
Authors: Xu Desheng , Duanmu Xiangling , Li Yanfeng , Zhang Peng , Li Junmei 
Published: January 2022

Abstract
The fire emergency evacuation in a transfer station, with complicate structure and large number of passengers, is more difficult than that in a single subway station. A three-storey subway transfer station with cross type and island-side transfer form was selected as the research object. Through a field investigation, it was determined that there were 368 occupants should be evacuated in B3 platform and 212 people in B2 platform. And the proportion of adults attached 84%. An agent-based egress simulator was adopted to investigate the effect of different evacuation schemes. Results show that the optimal scheme is to change the arrival field for stair 1 and the stair 4 at the both ends of B3 platform to the concourse in B1 layer directly. In addition, fire curtains on B2 should land to an occupant height in the early stage of evacuation and then fall down to the floor after 240 s. It could improve the evacuation efficiency of the B2 and the B3 train fire, and the evacuation time is decreased by 110 s and 20 s respectively. This study would be helpful for safety evacuation design in a transfer station.
Correlation and Analysis of Operating Temperature Data for Direct Olefin Conversion from Heavy Crude
Authors: Al-Otaibi Ahmad M. , Al-Samhan Meshal 
Published: January 2022

Abstract
Data analytics is a complex process of examining available data to reveal information such as hidden arrangements and correlations that can help enhance production or cost cutting decisions. The world’s demand and production of olefins are now higher than any other chemicals especially light olefins. This demand is supported by the fact that currently, Crude Oil-to-Chemicals (COTC) is an influential driver and a strong trend of high interest to all integrated refineries and chemical producers. Zeolite-based catalyst is a major cracking catalyst used in the industry, where Y-zeolites have progressively attracted attention as good adsorbents and stable acid catalysts, and are characterized by large, essentially spherical and internal cavities. This work focuses on analyzing operating data and correlating reaction temperatures for heavy crude to enhance the production of olefin using zeolite based catalyst. The prepared Y-zeolite was characterized for Specific surface area (SSA), total pore volume (TPV), average pore diameter (APD), and pore area (PA) according to the ASTM methods. The prepared catalyst showed a large pore diameter 211 Å and a high specific area of 425.6 m2/g, then the prepared catalyst was tested under varying conditions in a 250-mL autoclave-type reactor equipped with a stirrer, online Gas Chromatography (GC) and a gas sampling port. Different samples of crude with catalyst were tested at 380-450 °C and analysed via the online GC, where high peaks of ethylene and propylene were observed mainly at 430 °C reaching 3000 ppm wt. Moreover, the accumulative data of ethylene and propylene production from the experiments were recorded.
Research on Passenger Throughput Forecast of Civil Aviation Airport Based on Multi-source Data
Authors: Peng Daoyue , Zhang Meng , Xiao Yun , Wang Yidan 
Published: January 2022

Abstract
In order to scientifically predict the passenger throughput of civil aviation airports. The paper taked Hefei Xinqiao International Airport as the research object, comprehensively considers multi-source data such as GDP, permanent population, airport competition, and spatial distance, used multiple linear regression, gravity-regression and other methods to construct a prediction model, and the results were obtained by different methods. The prediction result errors were compared and analyzed. The results of the study show GDP and population are important factors affecting the passenger throughput of civil aviation airports. The multiple linear regression model that considers the factors affecting airport competition can improve the accuracy of prediction, and the gravity-regression model can effectively predict the passenger throughput of civil aviation airports.
Power Data Integration Method Based on Database-table Metadata Semantic
Authors: Zheng Lei , Pan Jianhong , Zhang Kai 
Published: January 2022

Abstract
Aiming at the characteristic of power data with multiple sources, wide distribution and complex association, this paper proposes a power data integration method based on Database-Table Metadata Semantic (DTMS), which can realize the integration of grid data at the metadata layer. Firstly, based on the structure of the database, the semantic expression is established between database and table; Secondly, this paper combines the Jaccard distance similarity method and the edit distance similarity method to achieve semantic matching between metadata and technical terms, which can solve the shortcomings of the single similarity method. Finally, according to the characteristics of power data assets, a power data integration scheme based on DTMS is proposed for multi-source power data integration. Through experiments, the accuracy of the algorithm in this paper has reached 95.8%.
Fault Prediction of Elevator Door Lock Based on MPGA-BP Algorithm
Authors: Qiu Jun , Qiu Bei , Yang Leijing 
Published: January 2022

Abstract
The door lock is one of the elevator fault prone parts, and the fault may further lead to personal injury accidents. In the process of elevator operation, the door lock acts frequently, resulting in a large amount of operation data. Using big data method, the fault prediction of elevator door lock could be realized, so as to prevent and reduce accidents. BP (Back Propagation) neural network algorithm and GA-BP (Genetic Algorithm) were used as door lock fault prediction algorithms, but there were some defects in performance. BP algorithm was easy to fall into local minima and the convergence speed was uncertain, while GA-BP algorithm would reduce the genetic diversity of the population. In this paper, we use MPGA (Multiple Population Genetic Algorithm) to improve the initial weight threshold of BP algorithm, adjust the neural network, and establish a door lock fault prediction model. The simulation results show that MPGA-BP model greatly improves the generalization ability and prediction accuracy of BP neural network, compared with traditional BP and GA-BP model.
Research on a New Analysis Algorithm of Virtual Trajectory Cryptography Technology for Password Encryption and Decryption Through Base Expanding
Authors: Chen Yuanyuan , Chen Jing 
Published: January 2022

Abstract
In the rapidly developing Internet era, network security and data sharing coexist. With the progress of information reform, all walks of life need to ensure the security of data information. Password is a tool to protect their privacy, property, information and important data, and some criminals through technical means to crack the password, peeping and stealing other people’s important information, data, meanwhile, the data caused information and property losses also happen. Information security has become a strategic issue that people must pay attention to, which is related to social stability, economic development and national security. In this paper, we study a new virtual trajectory password technology, analyzes the algorithm, complete the structure design of code disk and solve the problem of random generation of code base in code disk. The method of “base expanding” applied to enhance the strength coefficient of the password, and the random sequence generated in the chaotic encryption algorithm is used for encryption and decryption, and a random reference graph “code disk” is generated as an auxiliary memory method to help people remember some special lengthened passwords that cannot be remembered conventionally.
Design of Wind Turbine Parameter Monitoring and Early Warning Software System Based on Deep Learning Modeling
Authors: Wang Jiechang , Chen Zhannan , Guo Jianfei , Dong Yan , Yu Jinglong , Zhou Runan 
Published: January 2022

Abstract
This paper adopts deep learning self-encoding algorithm, using JAVA, C++ and python language mixed programming computing technology to realize wind turbine parameter monitoring and early warning and software system design and development. This paper describes the database design, process management mode, fault early warning model, alarm value processing and human-computer interaction interface of the system, explains the software operation process and workflow, as well as the early warning mechanism and algorithm of the system, and realizes the early fault early warning function of wind turbine operation parameters.