bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intelligent contract design based on block chain in logistics management
Authors: Yang Ping , Yang Xiaolei , Li Jianwei 
Published: October 2019

Abstract
Although the logistics management has been improving, the information management is still stagnant. The renewal mechanism of logistics information is the basic requirement of logistics system, but it is more important to solve the trust problem of logistics information. It is good for improving the logistics management to design a verifiable information management mechanism which can help relevant participants establish trust relationships. This paper analyzes the development status of block chain technology, then a decentralized and self-verifiable system management program model is designed. Finally, the application is implemented based on the intelligent contract design of Ethereum block chain.
Simulation Analysis of the Vibration Isolation Performance of Elastic Mounting bracket for Hydraulic Pipeline
Authors: Cai Biaohua , Wang Haisheng , Xiao Longzhou 
Published: October 2019

Abstract
The dynamic characteristics of hydraulic pipeline elastic mounting bracket directly affect the vibration and noise characteristics of pipeline system, as well as the strength and fatigue life of the mounting bracket itself. The modeling and simulation method of rubber elastic mounting bracket for hydraulic pipeline is studied by using non-linear finite element analysis method. The validity of this method is proved by an engineering example. At the same time, the analysis results show that the use of flexible rubber mounting bracket in hydraulic pipeline system has a good effect on isolating high-frequency noise, and the exciting forces of higher frequency in pipeline has a significant attenuation when it is transmitted to the base.
Acceleration of Target Detection Based on Forced Knowledge Distillation
Authors: Wen Jing , Gong Chenggui 
Published: October 2019

Abstract
In recent years, deep learning has achieved outstanding results on many problems such as computer vision, natural language processing and so on. The research of network model compression and acceleration can make the network model run efficiently on resource-constrained devices by greatly reducing the amount of computation of the network when the performance of the network decreases slightly. At present, knowledge distillation has achieved good results in classification tasks, but it shows strong limitations in the face of more complex tasks like detection. In this work, we propose a forced knowledge distillation framework, which focuses on improving the ability of feature extraction in detection. The whole model can be compact and fast without losing much accuracy. We use PASCAL VOC, KITTI and MSCOCO data sets to make a comprehensive evaluation. The results show that the forced knowledge distillation framework can fully learn the knowledge of teacher networks and achieve better detection results in smaller student networks.
Application of A New Firefighter Protective Clothing Material in Fire Rescue
Authors: Wu Chuansong 
Published: October 2019

Abstract
Firefighters are usually exposed to high temperatures, smoke and other hazards from the environment when carrying out fire fighting and rescue. Fire fighting clothes are special protective clothes used to protect firefighters from high temperature and fire damage. PPS fabrics can meet the basic requirements of fire service coatings. According to the standard requirements of a pair of firefighters’ chemical protective clothing, this topic further coats the surface of PPS fabric to achieve a certain chemical penetration resistance, and does basic research on the application of PPS fibers in the outer layer of chemical protective clothing. It can be used to make exterior material of Fire Fighting Protective clothing. Fabric density affects the warp and weft tear properties, but due to the limited fabric density in this design, the density does not affect much. In addition, it has been found that reducing the latitude and longitude density difference can increase the latitudinal tear strength value. The possibility of multi-stage airbag cushioning type pressure-proof protective clothing captured in actual fire-fighting and rescue work is analyzed, which provides a certain guarantee for the safety of fire-fighters during fire-fighting and rescue operations.
Mechanical Analysis of Rolling Mill Support System Based on ANSYS-Workbench
Authors: Song Xuan , Zhang Gang , Chen Hong , Sun Lin 
Published: October 2019

Abstract
In the rolling of four-roll mills, there are often damages in bearing such as the burning and adhesion failure. Domestic and foreign scholars have done a lot of calculations and experiments on this, and believe that when the support system of the roll neck (roll neck, bearing and bearing seat) suffers the roll bending force, the four-row cylindrical roller bearing suffering the radial bending force may be eccentric due to the hyperstatic structure of the mechanism in which the bearing block cannot be synchronously bent with the roller neck, thereby causing bearing damage. In this paper, the integrated model of the roll neck support system of the roll is established by SolidWorks, which is introduced into ANSYS-Workbench for contact surface setting, loading and constraint, and finally the roll neck bending deflection and bearing roller contact stress are analyzed and verified, which confirmed the validity of integrated deformation and mechanical analysis of roll neck support system by finite element method.
Application and Implementation of CNN in Artillery Countermeasure Training System
Authors: Chen Dong , Yang Chuandong , Ji Hang , Jiang Bin’an , Liu Zhen 
Published: October 2019

Abstract
Blasting point recognition is the basic task in artillery countermeasure training system. In order to solve the inefficiency and inaccuracy caused by manual recognition, this paper proposes a blast point area recognition algorithm based on convolution neural network. Aiming at the relatively small area of blasting point, the design idea of transfer learning is adopted. Firstly, based on the Mask-RCNN model, the structure of feature pyramid network is modified. By comparing the recognition effects of different feature fusion methods, the optimal one is selected. The anchor parameters are adjusted according to the target characteristics as well. Finally combining the mask branch network and the target detection network, the contour of the blasting point area and the center of it are calculated. The experimental results show that the method proposed in this paper achieve 97.6% mAP on the blasting points test dataset we built at 4.7 FPS, which solved a basic problem in artillery countermeasure training system well.
Research on Vibration Reduction of a Squeeze Film Damper
Authors: Liu Jun , Wang Xiaojing , Chen Chao , Zhu Caizhi , Zheng Jiaqi 
Published: October 2019

Abstract
With the trending to high speed, high precision and heavy load of large-scale rotating machinery, the problem of dynamic instability of rotor-bearing systems has become increasingly serious. In this paper, a dynamic model of squeezed-film damper-journal bearing-rotor system was established and the influence of different stiffness and damping on rotor response was analyzed. Three kinds of squeeze film dampers with different stiffness and damping were designed to be tested under various conditions. The signals of acceleration amplitude of bearing seat and rotor displacement were acquired, processed and analyzed. The experimental results show that there is a significant decrease in vibration response and acceleration amplitude of the bearings embedded with SFD compared to journal bearings without SFD. In addition, the greater the damping value of SFD, the smaller response of rotor. Stiffness has less effect on vibration reduction compared to damping which is basically consistent with the theoretical analysis.
Analysis of The Role of Ceramic Green Body Enhancer (C3h3nao2) N in Art Ceramic Molding
Authors: Yan Shen , Fang Yu 
Published: October 2019

Abstract
Using (C3H3NaO2) n as a dispersing agent, an alumina art ceramic slurry having good dispersibility and suspension stability is obtained. The effect of the addition amount of (C3H3NaO2) n on the viscosity of alumina art ceramic slurry and the influence of solid content on the blanking time, mold release performance and shrinkage of the green body were analyzed. The results show that (C3H3NaO2) n can effectively improve the forming strength of the art ceramic body and reduce the deformation rate of the green body. When the mass fraction of the reinforcing agent c is 0.6%, the drying strength of the green body increases by 167.5%. The deformation rate of the blank is reduced from 50% to 10%.
Research and Analysis on Quality Control of Concrete Raw Materials in Construction of Road and Bridge
Authors: Song Tianjiao 
Published: October 2019

Abstract
By introducing the contradiction of concrete construction quality control, the main points of concrete construction quality control, concrete mix design considerations, concrete mixing, transportation, on-site acceptance quality control points, bridge concrete construction control key points, issues that need to be highlighted, etc. Eliminate or reduce common quality problems, identify quality hazards, use FMECA technology to analyze failure modes and impacts in all aspects of prestressed road and bridge construction process, after process combing, failure mode determination, failure cause analysis, failure mode for road bridge concrete, The impact of safety and other aspects of judgment, to remind engineering construction and technical personnel to start from the details, to do a good job in the quality of bridge engineering.
Study on Lubrication and Friction Performance of Grease Lubricated Sliding Bearings
Authors: Sun Yuanyuan 
Published: October 2019

Abstract
In order to study the friction performance of grease lubricated sliding bearings of construction machinery under long-term radial heavy load, a bearing testing machine was developed to measure the changes of friction force, friction coefficient and temperature rise of such bearings. The testing machine can not only simulate the operation process of bearings under low speed and heavy load conditions, but also evaluate the operation state of grease during grease lubrication. Through durability tests on bearings designed and produced by three different manufacturers, the friction coefficient between bearings and pin shafts can be accurately obtained, the current lubrication and wear conditions of bearings can be detected, the advantages and disadvantages of bearing performance can be judged, and at the same time, reference can be provided for designers to estimate bearing life and optimize design.
Future Prospects of UAV Tilt Photogrammetry Technology
Authors: Ren Jinghong , Chen Xuan , Zheng Zhangzhe 
Published: October 2019

Abstract
In recent years, China’s science and technology have developed rapidly, and the surveying and mapping industry has also made great breakthroughs. Traditional aerospace photogrammetry cannot collect more accurate information from modern surveying and mapping. In recent years, UAV tilt photogrammetry technology has been developed. UAV tilt photogrammetry technology can more realistically reflect the position and appearance of features. Traditional aerospace photogrammetry can only perform vertical data acquisition, but tilt photogrammetry can perform fast and efficient data acquisition from different angles. Not only that, tilt photogrammetry has greatly improved the image matching and measurement technology. This paper analyzes the future development trend and application fields of the development of tilt photogrammetry technology.
Magnetic array knitting needle driving system design
Authors: Zhang Chengjun , Li Dongdong , Zuo Xiaoyan , Zhou Xiangyang 
Published: October 2019

Abstract
The traditional needle driving in knitting machine has drawbacks, such as vibration, noise, temperature rising, high energy consumption, and so on. A new non-contact magnetic array needle driving method is proposed in principle, which completely overcome traditional mechanical cam driving shortcomings. The permanent magnet together with knitting needle as the permanent knitting needle, the control system real-time controls the electromagnet coil current direction and value, which can generate different magnetic force to drive the needle movement. The magnetic array needle driving structure and its DSP control system are designed, the mathematic model is analysed, and the experiment and simulation are applied. By comparing the experiment and simulation, the control system is verified to satisfy the new knitting needle driving.
Design and exploration of an apple sorting baler
Authors: Luo Zhun , Ma Lihua , Zhou Zhonghua , Jia Senjun , Fu Zongguo 
Published: October 2019

Abstract
The packaging classification for the more vulnerable objects such as apple is only at the stage of manual classification, which is not only time-consuming and laborious, but also cannot accurately sort apples. Therefore, a design scheme of apple sorting and packaging machine is proposed. The structure of the machine and the functions of each part are systematically expounded. The functional modules of bad fruit removal, wax drying, intelligent classification and bagging are analyzed. The design scheme is to reduce the apples’ surface damage, improve the degree of mechanization.
Variable stiffness stability analysis based on time-domain method and experimental verification
Authors: Wang Min , Yang Quankai , Qin Peng , Sun Tiewei , Wang Chen 
Published: October 2019

Abstract
During the turning process, if the feed rate too high, or the feed rate too large, chattering will be occurred. The variable stiffness tip can change the system stiffness during the machine work, so as to increase the limit depth, but the stability of time-varying systems is difficult to predict. This article will be explained in as follows: Firstly, in this paper, the turning stiffness is studied, and the turning dynamics model is established. Secondly, it predicts the limit depth of cut by changing the time domain model parameters, and using the variable stiffness method to optimize the ultimate depth of cut. Finally, verify the correctness of the limit depth of cut through experiments.
Influence of installation error on roundness error measurement
Authors: Chen Xuelei , Dai Yifan , Hu Hao , Tie Guipeng , Guan Chaoliang 
Published: October 2019

Abstract
The installation tilt causes the actual measured circular contour to be an elliptical contour [1], and the installation eccentricity causes the sampled points uneven [2], which can both affect the measurement accuracy of the roundness error [3, 4]. The tilt and eccentricity error must be separate from the measured data when measuring the cylindrical workpiece roundness error with a cylindricity measuring instrument to obtain the true contour information of the cylindrical workpiece itself. In this paper, the mathematical models of the workpiece installation tilt and eccentricity are established based on the least square roundness error evaluation algorithm. The influence of the workpiece installation tilt and eccentricity on the roundness error measurement are simulated by MATLAB, and an actual measurement is analysed. The results show that after leveling and centering the workpiece, the influence of the tilt and eccentricity error of the workpiece installation on roundness error measurement can be neglected when the Taylor565H type cylindricity measuring instrument is used for micron order roundness error measurement.
Investigation of camshaft grinder’s electric spindle mounted with electromagnetic bearings
Authors: Feng Jianjun , Wu Zhi , Xu Zhiqiang 
Published: October 2019

Abstract
In the process of high-speed grinding, the deflection of the spindle axis of the grinder has a severe impact on the surface quality of the workpiece. To solve the problem of bending deformation of the motorized spindle, aiming at the traditional cam grinder, the structure of grinding spindle is designed with active control of electromagnetic bearing. Due to the influence of centrifugal inertia force on deformation, the equation of deformation of the rod is deduced, and the relationship between minimum distortion of the motorized spindle and the displacement of grinding wheel end and the electromagnetic loading force is obtained. The finite element method is used to analyze the relationship between the minimum bending deformation of motor The most suitable electromagnetic force to restrain the spindle is received at different rotational speeds due to the deflection of the motorized axis. The results show that the deviation of grinder spindle is effectively suppressed by applying appropriate electromagnetic force. Reduce the vertical displacement of the spindle grinding wheel end. The results obtained have specific guiding significance for the design of electromagnetic bearing motorized spindle and the improvement of grinding accuracy.
Experimental study on vibration of air cooling fan bridges
Authors: Guo Tieneng , Bai Chunsheng , Wang Li , Cao Jinxuan , Yan Zhijie , Yang Tao 
Published: October 2019

Abstract
ACC (air cooled condenser) is widely used in coal-fired power plants. It has the advantages of water saving and energy saving, and the system is simple. The fan bridge is an important part of the ACC. At present, the vibration problem of the fan bridge is very much, and the experimental data of the bridge vibration is single, and the fundamental vibration source problem is not revealed. Therefore, it is important to study the vibration causes of the wind turbine bridge. This paper analyzes the possible causes of vibration of the fan bridge. Through the combination of field test and theoretical analysis, the main causes of bridge vibration are analyzed. Research shows that air disturbance is the main cause of bridge vibration. The research results provide basis for bridge design.
Motion Attitude Analysis Method of Bullets Based on Field Shadow Image
Authors: Zhou Yijie , Gao Hongju , Sun Zhonghui , Qiao Zhiwang , Di Changan 
Published: October 2019

Abstract
Aimed at obvious interference noise of shadow images of bullet shot in outside field, and larger extraction error of bullet attitude features of shadow images and other problems, intersection point location method based on axis line and edge is adopted to extract features of bullet tip, and the method based on ellipse fitting is adopted to extract features of bullet tail in the Paper, and then extracted feature information is used to calculate motion attitude of bullets. The method can be applied to shadow image analysis of bullets under field environment well with accurate feature extraction, good consistency and high analysis precision and other features.
Application of Edge Preserving and Interpolation Algorithm Based on Wavelet Transformation in Mechanical Inspection and Flaw Detection
Authors: Xie Qi , Zhang Ying , Ru Lina , Luo Hongfei , Cui Qingbin 
Published: October 2019

Abstract
In mechanical inspection and flaw detection, the fault point in the image is often small, it is easy to cause the occurrence of missed detection, and due to the internal factors of the imaging system and environmental effects, the final image is often degraded, which is manifested as the deterioration of subjective vision and the decrease of actual resolution. In order to improve the resolution of the image without changing the existing imaging system and prevent the occurrence of the phenomenon of missed detection. An interpolation edge preserving algorithm based on wavelet transformation is proposed, the algorithm firstly performs edge detection and interpolation for low-resolution image, after that, the initial interpolated magnified image was decomposed by wavelet, and the low-frequency component image after wavelet decomposition was replaced by the original low-resolution image. Then, the inverse wavelet transform was carried out to obtain the high-resolution image with good edge information. The experimental results showed that compared with the traditional interpolation method and wavelet interpolation method, this algorithm performs better in the edge visual effect and objective index, and it is an effective algorithm to improve the resolution of detection image.
Bearing degradation trend prediction under different operational conditions based on CNN-LSTM
Authors: Liu Guozeng , Zhao Jianmin , Zhang Xin 
Published: October 2019

Abstract
Bearing degradation research is an important part in condition-based maintenance. This paper tries to propose an end-to-end model to realize bearing degradation trend prediction by vibration signals. Convolution neural network is good at data dimension reduction and feature extraction, and long short-term memory is good at deal with time sequences. The experiment proves that the combination of the two deep learning methods has a good effect, which avoid some disadvantages of traditional methods. Results shows that the model has application value in industrial practice.
Design and mechanical analysis of the loading mechanism of the back-loading garbage truck
Authors: Zheng Xuefei , Guo Jian , Li Sheng 
Published: October 2019

Abstract
In this paper, the loaded garbage truck loading mechanism is the research object. The three-dimensional model of the mechanism is established by software, and the force analysis is carried out under the working condition. Using MATLAB software to draw the curve to show the relationship between compression filling force FL, the pusher stroke x and the installation angle α1, and when the optimum installation angle is selected, the maximum compression filling force FL is 188.29 kN.
Vibration characteristics research of the polygonal effect of scraper conveyor
Authors: Liu Xiaohong , Wei Lubin 
Published: October 2019

Abstract
This article mainly studies the chain of scraper conveyor and analyzes the dynamic characteristics of the chain in the condition of load and load free. Numerical simulation, including the speed of movement and the simulation of chain tension, is used to simulate the special points of scraper conveyor chain. By a series of simulation simulations, the experimental results show that the number and pitch of the sprocket are the main factors that influence the dynamic characteristics of the chain, making the chain produce polygonal effect. Above all, the simulation data shows that the movement is relatively stable and the fluctuation decreases with the increase of the number of sprocket. In the case of load, the tension of the chain tensioning force obviously increases, and the polygon effect of the chain is intensified. Therefore, we hope to provide some theories and basis for our production activities by studying the chain of scraper conveyor.
Blending Spinning to Prepare Flame Retardant Phenolic/Polybutylene Succinate Fiber
Authors: Yang Fan , Bian Angting , Liu Jiuhua , Wang Yanping 
Published: October 2019

Abstract
In order to improve the spinnability of phenolic (PF) resin, a small amount of polybutylene succinate (PBS) was added during the melt spinning process. It was found that the spinning speed can be increased to 400m/min with only 1 wt% PBS. The glass transition temperature of the PF/PBS as-spun fiber decreased with PBS content, and the PBS melting endotherm peak disappeared after blending with PF. Crosslinking was formed after curing, which can greatly increase strength of PF fibers. The strength of PF/PBS fiber can reach 2.01 cN/dtex, which is 30% higher than pure PF fiber.