bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of droplet transition features and weld formation in laser-MIG hybrid welding
Authors: Ye Guangwen , Zhang Nanfeng , Liu Qianwen , Gao Xiangdong 
Published: August 2021

Abstract
The image of laser-MIG hybrid welding process was collected by high-speed camera, the arc area and the barycenter of droplet were extracted by image processing method, the weld width and weld height were extracted from the 3D point cloud of weldment surface, and the relationship between droplet transition features, droplet velocity and weld formation were analyzed. Results show that the extremum of arc area and droplet transition period have the same change trend. The change of droplet velocity can effectively reflect the change of weld width. The decrease of arc length can increase the droplet transition frequency, speed up the droplet velocity and increase the weld width. The abrupt increase of arc length will increase the ratio of height to width, which reduce the welding quality.
Welding parameters effect and optimization on bead geometry during arc additive manufacturing
Authors: Ma Bo , Zhang Nanfeng , Zhang Yanxi , Gao Xiangdong 
Published: August 2021

Abstract
This paper discusses the effect of parameters in MIG based wire and arc additive manufacturing (WAAM) using stainless-steel wire and Q235 as substrate. The response surface methodology (RSM) and ANOVA were used to determine the effects of current, voltage, and welding velocity on the responses of bead height and width. It was found that voltage had the largest effect on the bead width, followed by welding velocity and current. But on the bead height, welding velocity is the most significant parameter, followed by current and voltage. The genetic algorithm (GA) was utilized to optimize the parameters to obtain the maximum ratio of weld bead width to height for multi-layer single-pass arc additive deposition.
Evaluation of welding process stability and weld formation during laser-MIG hybrid welding
Authors: Fan Xi’an , Wang Congyi , Zhang Nanfeng , Zhang Yanxi , Song Yaowu , Gao Xiangdong 
Published: August 2021

Abstract
In laser-MIG hybrid welding, the visual information can be used to monitor the stability of the process and estimate the weld formation. Taking the hybrid welding of ER308 stainless steel as an example, a high-speed camera is used to simultaneously obtain visual information of top and bottom of the weldment during the welding process. Combined with the visual characteristics of arc light, molten hump and spatter at the bottom, the influence of various welding state characteristics on weld formation was analyzed. The comparison between the welding process of good weld and root humps illustrated that the time series curves of the area and centroid coordinates of the molten hump at the bottom can reflect the formation process of the root humps. The main cause of root humps is the lack of heat input. The results support a basis for monitoring and controlling the laser–MIG hybrid welding process status.
A method for optimizing electromagnetic ultrasonic probe based on the spatial distribution of permanent magnets
Authors: Li Shaoli , Huang Jing , Luo Ningzhao 
Published: August 2021

Abstract
The external magnetic field of a single permanent magnet is modeled by the vector magnetic potential method based on the Ampere hypothesis, which is compared with the finite element method to analyze the external magnetic field of the permanent magnet. Based on this, the mathematical models of the external magnetic field of multiple permanent magnets are obtained. By analyzing the external magnetic field of the permanent magnet of an electromagnetic ultrasonic probe proposed in this paper, the influence of the parameters of the permanent magnet on the external magnetic field is studied. The optimized structure containing multiple permanent magnets can increase the vertical component of magnetic field strength by about 32.3% compared with that of a single permanent magnet.
Optimization of Assembly Process Design about Cable based on MBD in Spacecraft Field
Authors: Song Xiaohui , Wang Wei , Zhang Qian , Liu Zhe , Wang Pei , Xue Feng 
Published: August 2021

Abstract
An important part of the low-frequency cable network spacecraft, in order to improve the efficiency of the spacecraft’s low-frequency cable network assembly process, according to the characteristics of the spacecraft cable network, based on the three-dimensional digital design of the spacecraft cable network, the spacecraft based on the three-dimensional model. The design and optimization of the cable network final assembly, a digital cable network final assembly was proposed to achieve the purpose of improving the efficiency and reliability of the cable network final assembly.
Detection of Prohibited Articles based on Lightweight Convolution Neural Network
Authors: Lin Xintao , Zhang Yanxi , Zhang Nanfeng , Gao Xiangdong , Ruan Jieshan 
Published: August 2021

Abstract
Prohibited articles detection is an important way to ensure public safety. In order to improve the flexibility of security inspections in complex public places, this paper uses three different convolutional neural networks, YOLOv3, MobileNet-SSD, and YOLOv3-Tiny, to detect the prohibited articles on the security inspection image data. Two performance indicators, mean Average Precision and Frames Per Second, were used to test the effect of the propose model. Finally, this trained model was deployed to the Raspberry Pi mobile device. Experimental results show that using YOLOv3-Tiny model for prohibited articles detection can improve the detection speed by about 10 times and the high detection precision is also maintained. This experiment provides a research idea for the fast detection of prohibited articles on mobile devices.
Design of Smart Bearing with Wireless Monitoring System
Authors: Xinhao Lv , Wen Wang 
Published: August 2021

Abstract
The paper takes the STM32F103VET6 as the core of the embedded system for wireless monitoring. This paper mainly introduces the design process of system hardware and software. The system can monitor the real-time inclination angle and temperature signals in the process of bearing operation. The monitored signals are transmitted to the host computer through the serial port. Meanwhile, they are also transmitted to the remote mobile phone through the Internet of Things.
Study on the Ice-Coated Brake Disc for EMUs Based on Force Coupling
Authors: Zuo Jianyong , Wang Xueping , Liu Jialiang 
Published: August 2021

Abstract
Based on the abnormal wear of the brake disc of Electrical Multiple Units (EMUs), considering the ice-coated friction pair, the finite element (FE) models of the brake disc, the friction blocks and ice impurity were established in ANSYS to explore the stress characteristics of the brake disc. For the ice-coated model, it is found that the maximum equivalent stress is 956.75MPa under the condition of pad stress of 25kN and initial braking speed of 250 km/h. The value of the maximum stress on brake disc surface decreased by 400MPa while removing the ice impurity. The maximum Z-displacement on the ice-coated disc is nearly 4.7mm, and with the contact point farther away, the smaller the deformation will be. The overall trend of the equivalent stress and Z-displacement of the brake disc increases with the braking pressure increasing. Droplet-like frictional blocks can improve the maximum stress and Z-displacement of the disc. Therefore, it is suggested that droplet -like frictional blocks are used for the braking equipment. For improving abnormal wear of the brake disc in extremely cold and snow environment, the analysis provides important reference and theoretical basis for engineering.
A Novel Parametric Design Method of Three-section Bioabsorbable Interface Screw
Authors: Chen Lihua , Meng Xianyuan , Dong Wenxing , Shan Lutong 
Published: August 2021

Abstract
Bioabsorbable interface screw is a kind of fixation instrument which uses interference fit to produce tightening force. The mechanical properties of interface screws, which are mainly used for cruciate ligament reconstruction surgery, have a strong correlation with thread parameters. Due to the different contact stresses caused by the different contact environments of each section of the interface screw after knee ligament reconstruction, this paper proposed a parametric design method for the three-section interface screw. In this study, the cross-section perpendicular to the axis was used as the reference plane for modeling, and a mathematical model of the structural parameters of each cross-section was established. Finally, through the python module of the open design platform GRASSHOPPER, the mathematical model established was applied to the parametric design of the interface screw.
Research on Remote Monitoring Based on Cloud for Electric Air Compressor of Rail Vehicle
Authors: Li Qingxuan , Zhang Xuan , Xie Shangyi , Zhang Shixi , Zhang Lihao 
Published: August 2021

Abstract
At present, there is no remote monitoring system for air compressors used in rail vehicles, Every time the vehicle is put into the warehouse, the inspector needs to check the appearance of the vchicle, So this kind of inspection method can only find out whether the surface is abnormal, Can not find out whether there is a problem inside the air compressor. In view of the above situation, the remote monitoring device is specially designed for air compressors used in rail transit industry to collect the dew point, temperature and air pressure of the output port of air compressors in real time, and send them to mobile phones and computers through cloud remote transmission, so as to detect whether there are abnormalities in air compressors in advance through data analysis, which is convenient for timely maintenance, reduce the risk of vehicle operation, and no personnel inspection when warehousing.
Simulation and selection of fin stabilizers for polar cruise ships based on Computational Fluid Dynamics
Authors: Zhao Yunrui , Gao Haibo , Zhang Shaoshu , Lin Zhiguo , Guo Yunhua , Hu Yi 
Published: August 2021

Abstract
Polar cruise ships have high requirements for comfort, so it is an important problem to select fin stabilizers matching with the target ship. The underwater movement under the maximum sailing speed and the active anti-rolling of the fin stabilizers under the low sailing speed of an 8035 gross tonnage polar cruise ship are simulated by means of Computational Fluid Dynamics (CFD) simulation, and the hydrodynamic characteristics of the fin stabilizers are explored. The fin type of NACA0012 is selected for the target ship by analyzing the lift and drag characteristics of two common fin types of NACA0012 and NACA0015. The limiting fin angle of fin stabilizers is found to be about 15~20° at the maximum speed and about 30-35° at the low speed. The research results can provide a reference for the design and selection of fin stabilize.
Analyzation and solution of disconnecting fault of high-speed and heavy-duty shift gearbox
Authors: Peng Xiao , Haoliang Lv , Cheng Wang , Zeming Lin 
Published: August 2021

Abstract
In order to solve the disconnecting fault of high-speed shift gear box, this paper uses finite element analysis to study the wear of transmission fork, the transmission of axial force by gear and the cause analysis of gear synchronizer disconnecting fault. A kind of oil film technology is put forward to form oil film between the contact working face of gear sleeve and shifting fork slider, so as to achieve the friction effect of separating the two friction surfaces by liquid. At the same time, the improvement scheme of shift fork material is changed to solve the problem of gearbox fork wear and disconnection. The reliability and stability of the transmission shift mechanism are improved.
Design of Bolts Structure of Overhead Contract Line Based on Finite Element Method
Authors: Yong Xu , xiaojuan Lu 
Published: August 2021

Abstract
The existing factory-type bolts of Overhead Contract Line are easy to fall off after installation. In order to solve this problem. Firstly, a new type of factory-type bolts that can fasten concrete pillars is proposed for the purpose of clamping and fastening reliability and safety. This new type of factory-type bolts adds a T-type bolts and locknut on the basis of the original factory-type bolts.Secondly, the theoretical calculation formula of the maximum stress when the stress is concentrated in the circular hole on the bolt rod is deduced by using the theory of elasticity.Finally, the finite element method is used to analyze the stress of the new type of factory-type bolts. Research indicates: The simulation verifies the correctness of the theoretical calculation formula, The new factory-type bolts have great practical application value.
Experimental Research on Noise Load Characteristics of Supersonic Jets in Rectangular Nozzles with Different Mach Numbers
Authors: Liu Jiacheng , Yang DangGuo , Li Hu , Tian BaoWei , Zhang ShuHai , Zhao JiaYi , Gao RongZhao 
Published: August 2021

Abstract
Aiming at the jet noise problem of the rectangular supersonic nozzle, rectangular nozzle test models with Mach numbers of 1.35 and 1.65 were designed and processed. Using the jet noise test platform in a full anechoic chamber, the nozzle supersonic jet noise characteristic test was carried out. The test results show that the surface noise load of the model gradually increases along the nozzle axis; the unsteady flow field structure at the nozzle exit position has complex evolution, with strong turbulent pulsation and high noise load; the directivity trend of the far-field noise total pressure level of the two nozzles is basically the same, and the directivity is obvious in the upstream and 90° direction of the nozzles; from the far-field sound pressure spectrum, it can be seen that the far-field noise is composed of broadband noise and discrete frequency noise. The amplitude of the second order frequency varies significantly from 70° to 90° of upstream, and the fourth harmonic frequency of the whistling mode is captured in the direction of 90°.
Optimization of injection molding of display panel based on PSO-BP neural network
Authors: Qiuli Li , LePing Bu , Hui Luo , Hailin Li , Yonghao Zhao 
Published: August 2021

Abstract
aiming at the practical production problem of large thin-wall plastic parts with large warping deformation and shrinkage during injection molding, the injection process parameters were optimized by CAE technology and neural network prediction method, to obtain high quality plastic finished products. Particle swarm optimization (PSO) algorithm was used to improve the BP neural network, and based on the neural network, the prediction model between injection process parameters and warpage deformation, volume shrinkage was constructed. The min-variables of the two parameters are accurately predicted by the model, and the best injection molding parameters are obtained. Through the verification of the mold test, the molding quality of the plastic parts is improved, the production cycle of the mold is shortened, and the economic benefit of the mold production is improved.
Prohibited Items Detection in X-ray Images Based on Attention Mechanism
Authors: Liang Tianfen , Lv Bo , Zhang Nanfeng , Yuan Jinhao , Zhang Yanxi , Gao Xiangdong 
Published: August 2021

Abstract
Security inspection is an important measure to ensure public safety. At present, X-ray security inspection equipment is widely used in security checkpoints. However, it is not efficient to recognize prohibited items in X-ray images manually. Automated security inspection system has become the development trend of security field. In this paper, the Yolov4 detector was used to detect prohibited items in X-ray images. In order to improve the detection performance, we added CBAM attention modules to different parts of Yolov4. A public dataset is used for simulation experiments, which shows that the addition of CBAM can effectively improve the detection performance of the detector.
A fault alarm monitor method for safety-critical software
Authors: Yu Yi , Wang Xiaoyong , Shi Cong , Chu Pengzi , Xu Ye 
Published: August 2021

Abstract
A design by contract (DBC) technology-based software fault alarm monitor method is discussed in this paper. Firstly, this method assigns a static module code to each software module, and assigns a static fault code to each fault alarm message in the software module. When the software is running, the dynamic module code is allocated before the software module is executed. When the software module is executed, the current module code is record, the fault alarm message is checked and collected. When a fault information is detected, all internal states of the system are recorded to the external memory, and the system is oriented to safety. At the end of the normal execution of the software module, the recorded current module code is erased. Finally, the fault analysis diagnostic tool is used to analyse the output fault message. Compared with the previous methods, the method can quickly locate the fault location, analyse the cause of the alarm, and improve the safety and maintainability of the software.
Gearbox fault diagnosis based on transfer learning with RseNet50 model
Authors: He Chen , Jiang Yiqiang , Sun Li , Wu Bin 
Published: August 2021

Abstract
The fault diagnosis method based on ResNet50 convolutional neural network and migration learning is proposed as a way of improving the gearbox fault diagnosis. Firstly, exporting the normal and faulty data of the gearbox. Then converting the exported data into one-dimensional images to and generate the corresponding training and test sets, train in the model to get accuracy of the test set and training set. After fine adjustment, it is used for gearbox fault diagnosis, compared with the VGG16, ResNet101, and GoogleNet model, the accuracy of ResNet50 is above 86.6%. It has a good prospect of application, and its effect is obviously better than that of other models.
Lightweight design of aircraft truss based on topology and size optimization
Authors: Qiu Jiyuan , Fan Yunting , Wei Haolin , Zhang Peng 
Published: August 2021

Abstract
Truss structure is widely used in aircraft design. In this paper, the lightweight design of a certain type of aircraft truss structure is carried out through topology analysis and size optimization to improve the performance of the aircraft. The original truss model is established based on ABAQUS, and its static strength is checked and analyzed. According to the design domain of the original model, a topology optimization method is used to obtain a new material distribution. Then the section size of each truss member is taken as the optimization variable, the maximum deformation of the structure is taken as the constraint, and the overall model volume is the minimum as the optimization goal, the genetic algorithm is used to obtain the new structure size. The results show that the truss members after the second optimization can meet the requirements of use and have a 75.15% reduction in mass compared to the original structure, which verifies that the method is feasible and provides a new idea for the lightweight design of truss structures.
Structural Design of Steel Bar Bending Machine
Authors: Jiang Ying , Cheng Xiaofei , Li Hongji , Ren Xinghua , Li YueYang 
Published: August 2021

Abstract
In order to solve the current situation of the sharp increase of steel consumption in China, a steel bending machine with adjustable support is designed. This design selects a reasonable power source, and designs an efficient deceleration device and executive system. The design of reducer includes belt, gear, shaft and key; The executive system includes rotatable support block, lead screw, lead screw base, bending core, working disc and other parts; and the working performance of the important parts inside the bending machine is analyzed. This design can control the bending speed at 20 meters per minute and the bending diameter at Φ18mm~ Φ28mm.
Research on electrode position fuzzy control system of calcium carbide furnace based on constant power
Authors: Wei-Wu SHANG , De-Dong ZHOU , Fang SU 
Published: August 2021

Abstract
The adjustment methods of calcium carbide furnace conditions include voltage regulator switches, electrode lifts, and changes in charge resistivity. For slight load changes, electrode lifts are commonly used. In order to have a positive effect on the control, furnace conditions and energy loss of the calcium carbide furnace, this paper proposes a fuzzy control method for the electrode lift of calcium carbide furnace based on constant power. By detecting the electrode current and electrode voltage, the electrode position is obtained indirectly, and then the fuzzy control idea is used to determine the control amount of the electrode lifting, and the control volume is converted into a pulse signal to act on the hydraulic solenoid valve to control the electrode lifting, so as to achieve a constant power consumption of the calcium carbide furnace the goal of. Simulation and practical applications show that this method can effectively avoid arc extinguishing and short-circuit phenomena, and has a certain positive effect on the operation of calcium carbide furnace, improvement of furnace conditions, and energy saving and consumption reduction.
Parametric Design of NC Tangency Point in Archimedes spiral Helical surface
Authors: Qiyue Kang , Baizhan Gao 
Published: August 2021

Abstract
This article based on matlab secondary development on the surface of the archimedean spiral cut NC contacts of parametric design. The generation principle of the spiral surface is described, and the processing error that may be caused by the processing method of the spiral surface is analyzed. In the case of meeting the processing requirements, a larger step length and a larger path distance are selected to calculate the tangent contact points of the spiral surface for CNC machining, and the accuracy of the contact points is verified by Matlab. Finally, a parametric design is carried out for the processing of the spiral curved surface tangent contact.
Fast Trajectory Optimization for Gliding Reentry Vehicle Based on Improved Sparrow Search Algorithm
Authors: Jiang Zhanyuan , Ge Jianquan , Xu Qiangqiang , Yang Tao 
Published: August 2021

Abstract
In order to solve the problem of low convergence accuracy and easy to fall into local optimization when solving the reentry vehicle trajectory optimization problem for existing algorithms, an improved sparrow search algorithm (OTRSSA) is proposed. Firstly, the basic sparrow search algorithm is improved by the methods of opposition-based learning, adaptive T-distribution and random walk to improve the optimization accuracy and stability, and increase the global search ability, and the performance verification is carried out in 12 benchmark functions; secondly, the 3-DOF motion model of reentry trajectory optimization problem is established and transformed into multi-dimensional function optimization problem; finally, OTRSSA is applied to solve the trajectory optimization problem. The simulation results show that the optimization performance and convergence speed of OTRSSA are better, and a reentry trajectory with the farthest range and satisfying constraints can be obtained quickly.
Processing Technology and Tooling Design of Control Console of Coal Mine Tunnel Drilling Rig
Authors: Baizhan Gao 
Published: August 2021

Abstract
Based on the problems existing in the production and processing of the coal mine tunnel drill control console, the processing technology of the drill control console is analyzed, and a set of processing tooling of the coal mine tunnel drill control console is designed. The tool has the advantages of simple structure and convenient use, which can effectively solve the processing precision problem of rig control platform. It is of great significance to improve the processing and production efficiency of the rig control console and to standardize the production of the rig control console.