bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of multiple failure behaviors of steering knuckle ball hinge of multi-axle heavy vehicle
Authors: Wang Zhenyu , Wei Shuo , Bao Ke , Peng Senye , Zhang Qing 
Published: August 2021

Abstract
The ball hinge is a key component of the vehicle chassis that connects the steering knuckle and the control arm. This study analyzed the multiple failure behaviors of the chassis ball hinge. First, according to the macroscopic failure characteristics of the ball hinge, the analysis method of the fault tree was adopted to identify the possible cause of the failure. The axial force and radial force of the ball joint were obtained by simulating the force of the vehicle under the typical extreme conditions. The stress distribution of the ball pin was obtained by finite element analysis of the ball joint. The calculation results are consistent with the fatigue crack position of the ball hinge. Then the ball hinge was disassembled. On the one hand, the macro morphology was observed. On the other hand, the chemical composition and microstructure of the ball pin material were analyzed by scanning electron microscope and infrared spectrum analyzer. Finally, the macro morphology and microstructure of the ball joint seat, ball bowl, dust cover and other parts matched with the ball hinge were analyzed to further verify the failure reason of the ball hinge. The results showed that the dust cover of the ball hinge was firstly aged and cracked, and the external dust and particles enter into the friction contact area of the ball hinge, which caused the ball pin and ball bowl to be stuck. During the driving process of the vehicle, the ball pin undergoes unidirectional bending fatigue fracture in the stress concentration area at the root of the conical surface.
Recognition of Fault State of RV Reducer Based on self-organizing feature map Neural Network
Authors: Zhao Zhuanzhe , Ye Guowen , Liu Yongming , Zhang Zhen 
Published: August 2021

AbstractIn order to accurately evaluate the working state of RV reducer, a fault identification method based on the fault identification model established by Self-Organizing Feature Map (SOM) Neural Network is proposed. Firstly, the data measured by the RV reducer test platform are analyzed by wavelet to obtain the wavelet coefficient. Then, combined with the efficiency data of RV reducer, the mean square frequency, center of gravity frequency and frequency variance of the two groups of data are calculated after Fourier transform and power spectrum analysis. After optimization, several eigenvalues are obtained. The eigenvalues are input into the competitive neural network and SOM neural network to establish the fault identification model. Finally, the results of the fault identification model established by the competitive neural network and SOM neural network are compared. The prediction results show that the fault identification model established by SOM neural network can effectively determine the working state of RV reducer.
Design and Simulation of Cam Curve for Automata
Authors: Rong Li , Lixin Wei , Hongliang Yang 
Published: August 2021

Abstract
Aiming at the problems of long movement stroke and complicated driving of the automatic machine breech block during the launching process of ammunition with large fineness ratio, it is proposed to use a crossed cam to drive the automata to complete the shooting progress. The three-dimensional model of the cam drive mechanism was established, and the maximum pressure angle of modified-sine curve and SMS-3 curve were compared according to the motion characteristics of the mechanism; the multi-rigid body dynamics and dynamics simulation software were used to obtain simulated displacement, speed and driving torque, and compared with the theoretical value. The simulation results show that under the same input conditions, the input torque required to complete the automata transport process using modified-sine curve is relatively small. This result provides a certain technical support for the research of automata on ammunition with large fineness ratio.
Dynamic Response of a Cat Head Type Transmission Tower-line System under Strong Wind
Authors: Wu Chuan , Yang Xiaohui , Zhang Bo , Liu Zehui , Zhao Yang 
Published: August 2021

Abstract
Transmission tower plays important role in the power system and it is security sensitive in various working conditions, such as wind and ice. In this paper, a method to obtain the dynamic response of a cat head type transmission tower under strong fluctuating wind was proposed. The coupled tower-lines finite element model was established in ABAQUS, and the equivalent acceleration of fluctuating wind was simulated by MATLAB. Then the displacements and stresses time histories were obtained. The method introduced in this paper can be used to assess the safety of tower under different fluctuating wind with different directions and provide a reference of the tower in the design stage.
Heat Transfer Simulation Study of Hot Oil Tubes Based on COMSOL
Authors: Shaohui Qu , Shuai Wang , Yuhuan Zhu , Jun Xiao , Yuxin Chen , Can Wang 
Published: August 2021

Abstract
Heat insulation board is added on the adjacent side of hot oil pipeline and other pipelines to increase thermal resistance and reduce the influence of hot oil pipeline on the temperature of the pipeline. Because the heat conduction problem of the soil around the hot oil pipeline after the addition of eat insulation board becomes very complex, this paper studies and analyzes the heat transfer process of the hot oil pipeline through constructing an equivalent simplified mathematical calculation model and heat transfer simulation based on COMSOL.
The Control System Design of Aircraft Wheel Device of Driving Rotary
Authors: Wenqiang LI , Xiangkun SUN 
Published: August 2021

Abstract
The aircraft wheel device of driving rotary is an important device as test of anti-slip brake system on the ground, according to the problems of inconvenience of input parameters adjustment, low speed detection accuracy, poor adaptability to the outside environment and low degree of automation, this paper designs a set of controlling system of aircraft wheel device of driving rotary, and giving chart with hardware design and programming flow chart in the control system of aircraft wheel device of driving rotary. The application result shows that this control system can meet actual requirement in the test of anti-slip brake system.
Analytical Calculation of Stiffness Characteristics of Swing Cylinder Hydro-Pneumatic Suspension
Authors: Chen Yijie , Gao Xiaodong , Xu Mengyan , Xu Long , Huang Long 
Published: August 2021

Abstract
The swing cylinder hydro-pneumatic suspension was mainly composed of balance elbow, rocker arm and oil-gas spring, which could convert the rotary motion of the balance elbow into the linear reciprocating motion of the piston. According to the mechanical transfer relationship, the suspension theoretical modelling research had been carried out, and the analytical relationship between key parameters such as suspension stiffness, leverage ratio and balance elbow swing angle were derived. The change trend of suspension characteristics with displacement was also given through programming, which provided a theoretical method for the design of actuators.
An effective iterated greedy algorithm for multi-AGVs dispatching problem in material distribution
Authors: Zhang Xujin , Sang Hongyan , Li Zhongkai , Li Junqing , Guo Hengwei 
Published: August 2021

Abstract
In this paper, the dispatching problem for multi-AGVs in the matrix manufacturing workshop from the practical factories is optimized. The goal is to reduce the transportation cost, including the cost of AGVs, distance cost and time cost. In order to solve the problem, we develop a mixed integer linear programming model. Then, an effective iterative greedy algorithm (IG) is proposed. The nearest-neighbor-based heuristic is used to generate high-quality initial solutions. An effective gradient unload method is designed. For the local search stage, three efficient operators are proposed. Finally, examples for experiment come from Foxconn electronic company. Comprehensive evaluation shows that the performance of the proposed IG is significantly better than some existing algorithms in the literature.
Research on Fuzzy Control Strategy and Genetic Algorithm Optimization for Parallel Hybrid Electric Vehicle
Authors: Luo Xiaoxiao , Deng Baojia , Gan Wenyan 
Published: August 2021

Abstract
In this paper, the fuzzy control strategy for parallel hybrid electric vehicle(HEV) is proposed. Based on fuzzy logic theory, SOC and torque demand scale factor are taken as the input, a fuzzy logic controller is designed. Combining with the rule-based control strategy(RBCS), the engine and motor output torque are gotten, so the whole energy control strategy is proposed. Then the genetic algorithm(GA) is used to get the optimal results: fuel consumption and emission level, to verify the accuracy of fuzzy control strategy.
Evaluation of the fatigue crack growth rate models under the action of tensile-compressive cyclic loading
Authors: Ningfei HUO , Yantao LIU , Gang SUN , Yanmao LIU , Peishuo LIU 
Published: August 2021

Abstract
In order to study the influence of compressive stress in cyclic load on the crack growth of the rib-to-deck joint, this paper analyzes the surface crack growth at the rib-to-deck joint under the action of overloaded vehicles based on the local three dimensional fracture mechanics model of the weld. The results show that the reverse plastic zone model is a better model to account for the effect of compressive stress in cyclic loading on the crack growth compared with the Paris Law either using the maximum tensile stress or using the full stress amplitude in cyclic loading.
A Study of Green Smart Inventory and Dynamic Programming Algorithm of SBS Modified Asphalt Based on Industrial Internet of Thing
Authors: Zhang Jiandong , Pang Dong 
Published: August 2021

Abstract
Start Based on the Industrial Internet of Things, this paper discusses the smart inventory management mode under the thermal storage of SBS modified asphalt, and preliminarily explores the smart inventory mode under the trend of smart logistics through the dynamic programming method, which provides a reference for the development direction of smart inventory of unconventional storage materials such as chemical and energy. At the same time, with the promotion and application of the Industrial Internet of Things, the dynamic, visual and intelligent development of each link in the logistics process brings a new round of intelligent reform to the logistics industry. As a kind of inventory management concept, smart inventory has gradually become one of the important links of smart logistics through measures such as Internet of Things technology, intelligent information management technology and visual management technology. The study proves that the dynamic programming method is suitable for the inventory cost optimization problem of SBS modified asphalt thermal storage. Finally, this paper uses the dynamic programming method to calculate the monthly data of a chemical raw material manufacturing enterprise in Liaoning province, and formulates the inventory management plan to optimize inventory costs.
Inverse Patch Transfer Function Method based on Steepest Gradient Descent Algorithm for Sound Field Reconstruction
Authors: Liu Chong , Lei Jianmei , Tang Chunpeng , Quan Daiyong 
Published: August 2021

Abstract
In the iPTF method with Green’s function, the classical regularization method used to solve the inverse problem can’t provide satisfactory reconstruction results around some eigen frequencies of the cavity in the iPTF method with Green’s function. In this paper, the steepest gradient descent (SGD) algorithm is introduced to solve the inverse problem in the iPTF method. In addition, to make the iPTF method with Green’s function more efficient, Contour-integration is used to split the Fourier series of Green’s function into one single-sum and one double-sum Fourier series. By applying Contour-integration, the computational efficiency of the iPTF method with Green’s function has been improved. The iPTF method with efficient Green’s function is examined in both simulations and application experiments. Experimental validations in the application are carried out in the end. The present results in experiments are also acceptable for field reconstruction.
Design and Test of Lightweight Long-life Electric Mechanism without Controller
Authors: Jiyuan  , Moupengtao  , Macuijuan  , Quanyunqing  , Liguoqiang  
Published: August 2021

Abstract
The traditional airborne electric mechanism is mostly controlled by mechanical switch, which seriously restricts the life and reliability of the system. This paper introduces a design method of a lightweight electric mechanism without a controller. The electric mechanism drives the motor directly by receiving the instructions of the control system, acts directly on the switch of the pipeline valve through the decelerator, breaks down the lock after reaching the specified position, and feeds back the current position signal. It is a high reliability, long life, compact structure, and widely used EMA product, which can adapt to all kinds of extreme environments required by the airborne equipment. And it has good maintainability.
Derivation of constitutive equation based on Miura-homogeneous equivalent model
Authors: Xiong Shaokun , Zhang Wei , Chen Jie 
Published: August 2021

Abstract
As a new type of sandwich structure, the Miura-folded sandwich structure shows excellent mechanical properties, and its internal transparent design is also conducive to the realization of multi-function. This kind of structure can solve the problem of the condensation of water vapor which will cause structural failure in the honeycomb sandwich structure. Based on the Miura origami structure, a homogenization mechanical analysis model of this folded sandwich is established. Through the model, we derived the theoretical expressions of structural modulus of sandwich panel under compression and shear loads, and the simulation results are verified in ABAQUS.
Study on the structure and virtual model of “xiezhi” gown in Ming dynasty
Authors: Yang Shuran , Yue Li , Wang Xiaogang 
Published: August 2021

Abstract
By now, there is still relatively blank area for studying the Chinese historical costume, which basically the traditional sample replicating method is used. It takes long time, and many clothing patterns and techniques can not be fully resembled. Since the development of CLO3D virtual simulation technology, the visual model of clothing can be set up on the virtual human body, and the model can simulate the fabric texture and physical properties. In this paper, by studying the color, fabric and structure of the Ming Dynasty “xiezhi” “side ear” round-neck gown, the structure is reproduced and simulated and reproduced through the CLO3D system. The use of digital technology to simulate and restore the Ming Dynasty “xiezhi” round-neck gowns is a new method of inheriting Chinese traditional clothing culture, and it is also the basis for establishing a visual clothing database.
Fault Detection for ZPW-2000A Jointless Track Circuit Based on Deep Belief Network Optimized by Grey Wolf Optimizer Algorithm
Authors: Yujie Li , Yunshui Zheng 
Published: August 2021

Abstract
At present, the fault detection for jointless track circuit still depends on the experience of electrical personnel, which leads to low maintenance efficiency and the phenomenon of misjudgment and missed judgment. A fault detection method for track circuit based on deep belief network (DBN) is proposed in this paper. According to the working principle and transmission characteristics of track circuit, 12 voltage and current monitoring parameters are selected to detect 15 types of track circuit fault. However, the selection of structural parameters for deep belief network is time-consuming, so grey wolf optimizer algorithm (GWO) is proposed to optimize DBN, which can adaptively select the number of neurons in each hidden layer. The simulation results show that by introducing the GWO algorithm to optimize the DBN detection model, the fault classification accuracy of the ZPW-2000A jointless track circuit can reach 96.96%, which significantly improves the fault detection level of the track circuit.
Information Transmission Scheme between Train and RBC Based on AES-ECC Algorithm
Authors: Junjie Zhang , Yunshui Zheng 
Published: August 2021

Abstract
The existing information encryption scheme between the Radio Block Center (RBC) and the ground has problems such as weak keys, and the vehicle-ground information has a potential threat of being stolen. In order to ensure the safety of driving, on the basis of ensuring the correct transmission of train and ground information, research on more efficient encryption schemes has become the focus of work. In response to this trend, a hybrid encryption scheme based on AES and ECC encryption algorithms is proposed. The AES algorithm replaces the original 3DES algorithm, and the elliptic curve encryption algorithm ECC is used to encrypt the session key to improve the encryption security level. The encryption simulation, avalanche effect verification and execution efficiency test of fixed-length data are completed on Visual Stduio 2013 platform, and compared with the original encryption scheme. The results show that the scheme can meet the avalanche effect and the accuracy of data transmission, and it takes less time than the original encryption scheme, and is more suitable for two-way large-capacity information transmission between vehicles and ground.
Research on Torque Control System Based on Fuzzy Logic
Authors: Qiyue Kang 
Published: August 2021

Abstract
Aiming at the needs of intelligent coal mining and construction of intelligent mines, based on fuzzy control language, the torque parameter control system of intelligent drilling rigs is analyzed and researched. The structure of the torque output fuzzy control system and the fuzzy adaptive PID controller are designed, and the system is simulated. The simulation research provides new ideas for the development of actual hardware controllers in the future, and lays the foundation for realizing unmanned operations in coal mines.
Quality Control Study on High Pressure Casting Based on Magma and Ultra-red Simulation
Authors: Jianmin TANG , Laijie WU , Haijun LIU , Bo LI , Dejun ZENG 
Published: August 2021

Abstract
The temperature control of high-pressure die casting mold is one difficult problem in die industry. The inner quality of product is greatly affected by mold temperature. Taking the automobile gearbox parts as an example, by the combination of waterproof thermocouple and TP700-16/TP700-40 multi-channel temperature tester, one set of device for monitoring mold real-time temperature is developed. The high pressure casting die and mold temperature field simulation are carried out by using Magma software. By simulating analysis and reducing process parameter interval of Magma, the ideal mold temperature is obtained and the quality problem of die casting is solved after the simulation parameters are copied to the die casting machine. The practical results show that the instability of die casting is decreased, the time cost of die casting is decreased by increasing die casting Overall Equipment Effectiveness (OEE), the risk of personal accident is reduced and the product scrap rate can be effectively reduced. Finally, the future research directions are pointed out.
Research on RCS Similarity Algorithm of Non-cooperative Target Model
Authors: Zhang Jianhua , Huangfu Huidong , Meng Xiaojun , Tao Wei , Su Kang , Ding Yijie , Xiong Sijin , Zang Ying 
Published: August 2021

Abstract
The RCS similarity evaluation is an important content of non-cooperative target model assessment. Aiming at the problems of the existing similarity measurement methods applied to the RCS similarity evaluation of non-cooperative target model, this paper proposes an algorithm which can quantitatively reflect the RCS similarity of non-cooperative target model. In order to better adapt to different data sets and make the algorithm more flexible, the weighting operators and penalty factors are introduced to further optimize the algorithm.
Control design of upper limb rehabilitation exoskeleton robot based on long and short-term memory network
Authors: Zhao Chenwei 
Published: August 2021

Abstract
The increasing human resources in rehabilitation training for patients with upper extremity impairment, more convenient and objective in rehabilitation training. Therefore, an upper limb rehabilitation exoskeleton robot controller based on a long-short-term memory network (LSTM), combined with impedance control is proposed. The design adopts the LSTM deep learning network to realize the preprocessing and classification of the collected patient’s subtle intention signals to obtain the patient’s real movement intention. The impedance controller based on the compliant control method is designed, and completed the auxiliary exercise for the patient. In the whole process, the LSTM algorithm effectively handles the timing problem, that is, effectively and continuously processes the patient’s data. The impedance control provides a good buffer for assisting the patient’s movement, ensuring the good physical compatibility of the patient-robot system with the outside world. Finally, through the model data test, the recognition and differentiation of 18 human body movements were tested, and the accuracy reached 59.3%.
Automated system based on open resonator for measuring the electrophysical parameters of sheet dielectrics
Authors: Kayro N S , Teterina D D , Badin A V , Bilinskii K V 
Published: August 2021

Abstract
In the article, the results of automation of the setup for measuring the dielectric permittivity of sheet dielectrics in an open resonator are presented. A program to control the positioning mechanism of the object under study, which allows setting the position of the sample with an accuracy of 6.25 μm in the longitudinal direction and 0.05625 ° in the angle, was written in the LabVIEW (National Instruments). For angular position of 30° of sheet dielectrics relative to the longitudinal axis of the open resonator resonance curves are experimentally obtained. Based on the data obtained, the calculation of the dielectric constant of the material is given.