bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the processing map of antibacterial Ti-10Cu sintered alloy
Authors: Shi Liqiu , Yu Feng , Xiang Chun 
Published: August 2020

Abstract
This paper studied the hot deformation behavior of Ti-10Cu sintered alloy in order to optimize the deformation processing. Ti-10Cualloy was prepared by the powder metallurgy method to obtain strong antibacterial property. The deformation temperature range of 800°C to 1000°C and the strain rate range of 0.008 s−1 to 5s−1 were chosen. The constitutive equation in hyperbolic sin functionwas established and thehot processing map was drawn based on the true stress-true strain curves. The microstructure and of the hot deformed alloy were observed in order to reveal the influence of the hot deformation on the microstructure. The results showed that the Ti2Cu phase distributed homogeneously with increasing in the deformation temperature and decreased with the increasing of the strain rate. The final optimized deformation process was:a deformation temperature range of 850°C to 950°C, and a strain rate of 0.1s−1 to 0.5s−1, where a completely homogeneously distributed microstructure would be obtained.
Effects of electromagnetic induction hardening on the microstructure and mechanical properties of B1500HS steel
Authors: Qi Pengyuan , Sun Qi , Zhong Jingyu , Wang Gang , Liu Xianghua , Liu Weijie 
Published: August 2020

Abstract
The effects of electromagnetic induction hardening process on the microstructure, original austenite grain sizes and mechanical properties of B1500HS steel are investigated in this paper. The results indicate that the electromagnetic induction hardening samples can obtain completely martensite with fine lath bundle size, and high tensile strength, which is up to 1626 MPa, and the original austenite grain size is fine and uniform when the heating temperature reaches 900°C. Compares with that of the resistance furnace heating quenching process, the samples treat by rapid heating process can obtain finer lath martensite structure and better mechanical properties after quenching.
Effect of sputtering power on the microstructure of Mg doped ZnO thin films
Authors: Cheng Zhen , Meng Yu , Zhang Bianlian 
Published: August 2020

Abstract
In this paper, Mg doped ZnO thin films were prepared on glass substrates by RF magnetron sputtering. The surface morphology, composition, structure, thickness and refractive index of the films were studied by SEM, XRD and ellipsometer. The results show that the sputtering power has no great influence on the growth direction of the film. When the sputtering power changes from 40 W to 100 W, the crystalline state of the film becomes better, the grain size and the thickness and the refractive index of the film increase with the rising of the sputtering power.
Experimental study on deformation region types and percentages of each region in asymmetrical rolling of strip
Authors: Sun Xiangkun , Liu Xianghua , Qi Junlong , Wang Ji 
Published: August 2020

Abstract
A simple method for dividing the deformation type and a practical model for calculating the percentages of each region in various deformation types are proposed. The percentage of cross-shear zone gradually increases to 100% and the percentages of forward-slip and backward-slip zone gradually decrease to 0 as rolling pass increases with huge roll force and tensions and better lubricating conditions. The method and the model can provide a good reference for better operations during asymmetrical rolling, which is good for rolling industry.
Analysis on corrosion of flat steel used in grounding grid for 220 kV substation
Authors: Chen Hao , Fang Wenxuan , Han Kuo , Qiao Xin 
Published: August 2020

Abstract
Grounding grid plays an important role in protection of main device for power system. With the increase of power capacity and voltage level, the safety of grounding grid is particularly important. In this paper, the seriously corroded flat steel of grounding grid in 220kV substation was investigated by means of different test methods. The result showed that electrode potentials difference existed between different locations on the surface of the buried grounding electrode was the major reason to cause electrochemical corrosion. Meanwhile, higher sulphur and chlorine content of the soil around the substation caused by long-term industrial pollution, led to rapid depletion of zinc coating and acceleration of corrosion process of grounding material. Additionally, effective suggestions were presented in order to reduce the grounding resistance and improve the anti-corrosion performance.
Structural design flow of typical aircraft components based on topology optimization
Authors: Feng Zhijie , Du Jianbin , Zhang Haixi , Wu Kai 
Published: August 2020

Abstract
In the field of structural topology optimization, an important but often neglected problem in previous studies is how to translate the optimal conceptual design obtained by topology optimization to engineering CAD model which can meet requirements of reliability and manufacturability efficiently. This paper carried out exploratory research on full stage design of typical aircraft components. A set of integrated schemes are proposed as a complete design flow from the conceptual design to engineering geometry scheme, including multi-objective dynamic topology optimization, transformation from the optimal topological conceptual design to engineering geometry model, CAE analysis and manufacturing by 3D printing. The method above has strong portability and broad application prospects, which can provide references and technical routes.
A loose self-checking method based on FBG for axle counting sensor
Authors: Zhang Lu , Wang Zhixin , Yan Qiuji , Lin Jinfeng , Wu Chunxiao 
Published: August 2020

Abstract
In order to improve the reliability and safety of the axle counting sensor, a loose self-checking method based on fiber Bragg grating (FBG) is proposed. FBG is used to detect the axial strain of the bolt which is a part of the axle counting sensor. It can effectively detect the installation condition of axle counting sensor. When the axle counting sensor is loose or fall off, the FBG wavelength will be lower than the set threshold value and an alarm signal will be sent. The experimental results show that the measured data of the loose self-checking device under different tightening torques are consistent with the simulation results. The artificial loosening test of the bolt is carried out, which proves that the method can be used to check the loose condition.
MPC-based path tracking with PID speed control for autonomous vehicles
Authors: Chen Shuping , Chen Huiyan 
Published: August 2020

Abstract
In this paper, a new coupled lateral and longitudinal controller based on model predictive control (MPC) framework was proposed for an autonomous vehicle to track the desired trajectory and speed. Considering the constraints of control input limit and state output admissible, we used a spatial-based 8 degrees of freedom (DOF) vehicle model as the prediction model and used a high-fidelity model, i.e., a 14-DOF vehicle model as the plant model in the formulation of MPC algorithm. For the lateral control, the MPC controller generates the optimal road-wheel steering angle; for the longitudinal control, the PID controller embedded in the optimization solution generates the total driving or braking wheel torque. All these control inputs were passed to the plant simultaneously. The developed vehicle models were simulated with step steering input and compared with the simulation result of CarSim vehicle model for validation. We implemented the proposed controller for path tracking and speed control with MATLAB considering an 8-shaped curved trajectory as the reference. The simulation results showed that the path tracking and speed tracking performance were good using the combined lateral and longitudinal control strategy.
Research on multi-task command allocation method for flying wing aircraft
Authors: Zhang Ning , Wang Lixin , Li Feng 
Published: August 2020

Abstract
Flying wing aircraft adopts redundant multiple control surfaces configuration, especially the new type of drag based yaw control device is used in directional axis. Therefore, its command allocation problem has strong nonlinear and multi-axis coupling characteristics. According to the command allocation characteristics of flying wing aircraft, a multi-objective optimization based nonlinear programming method is used for command allocation, and the differences of the control surface command allocation results under different optimization targets is analyzed. The results are also carried out in the attitude tracking simulation based on flight control system designed with nonlinear dynamic inversion. It demonstrates that the different optimization targets have great and quite different impacts on flight states. It proves that the multi-objective optimization based control allocation method is a highly adaptable and flexible command allocation method for flying wing aircraft.
Development of the flatness detection system for cement concrete pavement construction phase
Authors: Liu Ying , Du Tianling , Xie Jinde 
Published: August 2020

Abstract
This article describes a pavement roughness detection system that can be used to test the flatness of the construction phase (before the concrete to harden) cement concrete pavement. The test system is based on optical triangulation principle, by the laser projector and a CCD image sensor camera composition, using a structured light technique for three-dimensional visual measurements. The system can plastic cement concrete pavement flatness detection directly help improve the flatness of the cement concrete pavement.
Structural parameters of new rail transit system optimization theory research
Authors: Wang Zhifei , Li Fan 
Published: August 2020

Abstract
In response to the defects of maglev system structural parameter design method, the paper put forward an optimization design based on orthogonal test and computational fluid dynamics, by combining orthogonal theory with fluid mechanics and adopting multi-factor orthogonal test method, the influence trend of tunnel cross section, running speed, pipeline pressure, and on train aerodynamic resistance is studied by taking train aerodynamic resistance as evaluation index, and the sequence of various factors and the influence of different factors on air drag are determined by range and variance analysis, and the optimal parameters are confirmed. The results show that the blocking ratio has the greatest influence on the aerodynamic drag, while the pipeline pressure has the least influence, and the blocking ratio and running speed have the most significant influence on the aerodynamic drag of the train, while the pipeline pressure is not significant. The optimal solutions are 2 for Tunnel cross section, 600km/h for the running speed and 700Pa for the pipeline pressure. The results of this paper can provide technological interest for the future transportation of the maglev system.
Design of remote wireless cylinder pressure control system
Authors: Wu Ruihan 
Published: August 2020

Abstract
Pressure is an important object monitored in the modern industrial production safety. Aiming at the present situation of pressure monitored, combined with wireless communication technology, this paper puts forward a scheme which monitored the pressure by wireless technology based on Zigbee protocol. The scheme puts the cylinder pressure as a controlled object, selects Zigbee protocol chip CC2530 as the main control device, to achieve control of the pressure regulating valve based on PID algorithm, and realized the pressure control. Through the simulation and experiment it shows that the scheme can realize the wireless remote control of cylinder pressure, and meet the intelligent demand of control system.
Research on pavement garbage detection based on machine vision
Authors: Liu Jiawei , Guan Tian , Zhen Yajing , Zhang Yaoming , Song Xiaoli , Wang Zhaojian , Zhang Dongsheng 
Published: August 2020

Abstract
With the continuous advancement of China’s urbanization process and the continuous development of autonomous driving technology in recent years, it has become a trend to use unmanned garbage sweepers to clean up and maintain the road surface. Garbage detection is an important part of the operation process of unmanned garbage sweeping trucks. It replaces human brains in the process of observing, judging, and locating garbage on the road, which directly affects the efficiency of sweeping trucks. This paper takes Halcon software as the main platform to introduce the research of road garbage detection based on machine vision.
Research on visual vehicle detection and tracking based on deep learning
Authors: Zhang Yaoming , Song Xiaoli , Wang Mengen , Guan Tian , Liu Jiawei , Wang Zhaojian , Zhen Yajing , Zhang Dongsheng , Gu Xiaoyi 
Published: August 2020

Abstract
At present, vehicle tracking technology is still a hot research direction all over the world. The main work of this paper is divided into two parts: we should complete visual vehicle detection based on deep learning and vehicle tracking based on similarity measurement and association algorithm. The main work of this paper is as follows: Based on the YOLOV3 detection algorithm, this paper puts forward some new ideas and ideas, which are applied to the video detection and experimental results. Based on the structure of YOLOV3 convolutional neural network, the vehicle video detection experiment is carried out under the framework of TensorFlow, and the detection results are evaluated by the detection accuracy and error detection rate. Firstly, the augmented data set of video detection is made, and a section of driving record video is recorded under the surrounding road conditions of the school. After that, the data set is used to train the weightless network of YOLOV3. Finally, the test results between KITTI data set and augmented data set are compared. Then the network is used to compare the detection results of different detection algorithms. The second work is to build the vehicle tracking model after getting the object selection frame after video detection. In this model, the classic hog feature extraction method is used to extract the vehicle appearance features, and then the motion similarity is calculated. After getting the total similarity between the targets in the front and back images, the target trajectory is recovered or released by the target trajectory management algorithm to achieve the tracking effect. The above vehicle tracking model is optimized by three evaluation parameters: MOTA, MOTP and IDS. In the end of this paper, the tracking effect experiments under different detection algorithms, different detection thresholds and the peeling analysis of tracking features are carried out for the vehicle tracking part, and some conclusions are obtained.
Research on optimal meshing speed difference based on shift success probability for dog Clutch in automated manual transmission
Authors: Sun Shaohua , Gong Maosen , Wu Baogui , Zou Yupeng 
Published: August 2020

Abstract
The engagement theory for dog Clutch was analyzed and the dynamic model of its engagement process was established. The uncertain result of shift success or failure was described from meshing probability and the shift probability model of dog clutch used in AMT for electric vehicle was established. Afterwards, the factors affecting shift success probability were analyzed by Matlab/Simulink simulation and the optimal meshing speed differences of different gears are defined. Finally, the validity and accuracy of theoretical and simulation analysis ware verified by experiments. The results can be used for designing shift strategy as well as improving shift quality for dog clutch meshing mechanism which used in AMT.
The research on train resistance prediction of low vacuum pipeline based on different neural network algorithms
Authors: Du Chengxin , Wang Zhifei , Li Fan , Feng Ruilong 
Published: August 2020

Abstract
In order to obtain the maximum aerodynamic resistance of low-vacuum pipeline train under different working conditions, this paper uses different neural network algorithms to predict the maximum aerodynamic resistance. First, it calculates 85 groups of maximum resistance values of trains under different operation speeds, pipeline pressure and blocking ratios. Then, it takes 81 groups of data as training samples, establishing and training RBF neural network models, which are based on three different functions, and a linear neural network model as a comparison. Finally, it verifies those models with four groups of randomly selected verification data. The results show that the RBF network prediction model based on Newrbe function has the best prediction effect. It is superior to the other two RBF models in prediction accuracy. The prediction error of the linear neural network model for the maximum resistance of the train is large, and the prediction accuracy is far lower than that of the radial basis function neural network model.
Exploration and practice of intelligent manufacturing of electronic information equipment
Authors: Ben Kecun , Feng Zhanying , Cao Yaqi 
Published: August 2020

Abstract
At present, the global manufacturing industry is accelerating towards the era of digitalization, networking and intelligence. Aiming at the manufacturing characteristics of electronic information equipment, such as the integration of scientific research and production, multi variety and small batch, fast renewal, high coupling of multi disciplines, and huge supply chain, this paper studies and analyzes the technical hotspots of intelligent manufacturing of electronic information equipment, such as 3D printing of mechatronic system structures, design and manufacturing of microsystem, immersive virtual assembly and digital twin. At the same time, based on the guiding ideology of Model-Based Systems Engineering (MBSE), the exploration and practice of electronic information equipment design mode, production mode, support mode and management mode are carried out. The research shows that the application of new technology and mode of intelligent manufacturing effectively shortens the development cycle of electronic information equipment, greatly improves the production efficiency and comprehensive utilization of resources, and significantly reduces the operating cost and the rate of defective products.
Low-loss tunable dielectrics for millimeter-wave phase shifter: from material modelling to device prototyping
Authors: Li Jinfeng 
Published: August 2020

Abstract
Passively controllable millimeter-wave phase shifters based on continuously tunable dielectrics offer promising alternatives to conventional switch-based topologies (e.g. active semiconductor devices and MEMS) with digital resolution. However, only a handful of tunable dielectrics have thus far been identified with high tunability and low loss, among them, liquid crystal (LC) in the nematic phase is of research and development interest. This work presents the modelling of LC materials at 66 GHz based on a novel shielded coplanar device structure in place of traditional waveguides. Phase shifters of 0-π tunability are fabricated and measured, with an insertion loss of -4 dB and return loss lower than -15 dB demonstrated.
Simultaneously static and dynamic layout designs of stiffening structures
Authors: Feng Zhijie , Wu Kai , Liang Xuan , Du Jianbin 
Published: August 2020

Abstract
In the present paper, the topological design problem of lightweight stiffening structures are studied. Multiple design criteria like static compliance, dynamic compliance, eigenfrequency/eigenfrequency gaps and weight are considered simultaneously as sub-objectives in the optimization model. A bound formulation is developed and implemented to deal with the problem concerned, by which the difficulties of non-continuity of the multiple objective functions can be got over. Comparing with the empirical adjustment design or more elaborated parametric design, the topological design may introduce more degrees of design freedom, and thus is possible to produce more innovative conceptual design. The method of sequential convex programming is employed to find the solution of the optimization problem. Numerical examples show that, using the presented approach, the optimized layout of the stiffening structures with enhanced static and dynamic mechanical properties can be obtained.
Stress analysis and design of the waveguide bellows for EAST ECRH system
Authors: Zhang Liyuan , Wang Xiaojie , Liu Fukun , Xu Handong , Wu Dajun , Tang Yunying 
Published: August 2020

Abstract
A 140GHz 4MW long pulse ECRH system for the experimental advanced superconducting tokamak (EAST) has launched in 2011. The waveguide (WG) bellows is an important component in transmission lines, which can absorbs the axial deformation caused by thermal expansion. The flexible WG inside WG bellows dominates bellows performance. In this paper the mechanical analysis including stress analysis and error analysis for flexible WG is presented in detail. A prototype of the WG bellows has been designed and fabricated.
Shafting stiffness calculation of satellite antenna scanning mechanism
Authors: Zhu Jialong , Ma Xiaofei , Wang Hui , Zhao Jiang , Song Tingting 
Published: August 2020

Abstract
As a critical rotating joint component of space mechanism, the shafting of satellite antenna scanning mechanism needs high stiffness and reliability. In this paper, the axial stiffness and radial stiffness of the shafting are calculated based on theoretical analysis, and the stiffness performance of the shafting is simulated and verified by finite element method. The results show that the relative error of radial stiffness and axial stiffness is 8.70% and 8.14% respectively. The calculation method adopted can effectively evaluate the stiffness performance of precision shafting and guide the optimal design of the shafting structure.
Finite element analysis of the reinforced concrete special-shaped columns under axial force and torsion
Authors: He Ye , Zhang Kui 
Published: August 2020

Abstract
The finite element analysis software ANSYS is used to analyze 9 reinforced concrete special-shaped columns under the combined action of axial force and torque. The parameters of the numerical model are given through repeated trial calculation. The influence of different values of axial compression ratio on the torsional capacity of test specimens is studied. The results show that the prediction error of the finite element model is small, which means the model is capable of accurate simulation. But the whole process analysis of the torque-torsion angle curve needs to be improved. The cracking and ultimate torque of special-shaped columns with different sizes and section shapes increase linearly with the growth of axial compression ratio. However when the ratio exceeds 0.6, the torsional bearing capacity of the columns will decrease. The increasing of axial compression ratio will also shorten the process from cracking to ultimate torque.
Prediction study of temperature deviations on left and right sides of power plant boiler reheaters based on regression algorithm learning machine and expert experience
Authors: Cui Yu-jia , Huang Ying , Ma Xiao-chun , Ma Guo-hang 
Published: August 2020

Abstract
Based on regression algorithm learning machine and expert experience, the temperature deviation prediction of the left and right sides of the power plant boiler reheater is based on real-time or off-line data collected by the power plant boiler. The data is divided by expert experience and algorithm processing data. Based on the machine learning regression algorithm, a regression algorithm learning machine is established. Through this learning machine and expert experience, the temperature deviation of the left and right sides of the power plant boiler reheater is predicted. The results show that the model can accurately predict the temperature deviation of, the left and right sides of the power plant boiler reheater, thus providing reference guidance for the operation of the power plant boiler.