bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of TiO2 content on microstructure and properties of Ti-24Nb-4Zr-8Sn alloy for biomedical applications prepared by powder metallurgy
Authors: Tingzhuo Chen , Shuan Chao 
Published: July 2021

Abstract
Ti-24Nb-4Zr-8Sn (TNZS) as an important material in biomedical field, has ushered in broader application space and proposed higher performance requirements. This paper presents the experimental investigation of the effecct of TiO2 content on the microstructure and properties of TNZS prepared by powder metallurgy, aiming to optimize the additional amount of TiO2 (0wt.%, 3wt.%, 6wt.% and 9wt.%), improve the microstructure uniformity and properties. The phase, microstructure, hardness, elastic modulus were measured. The results indicate that nTiO2/TNZS alloy was composed of α-Ti, β-Ti, Rutile TiO2 and Anatase TiO2. Meanwhile, the diffraction peals intensity of α-Ti and Rutile TiO2 were enhanced obviously with the increasing of TiO2 content. With the increase of TiO2, the size of grain was refined and the distribution became homogenized. As the TiO2 content rises, the hardness first decrease and then increase. The results show that the micro-hardness of nTiO2/TNZS alloys were 579.8 HV, 452.9 HV, 983.2 HV and 1219.9 HV, the micro-hardness of 9wt.%TiO2/TNZS alloy reach the maximum. The elastic modulus of nTiO2/TNZS alloys were 43.29 GPa, 50.44 GPa, 57.62 GPa and 85.37 GPa.
The Study on Plastic Flow Behavior and Constitutive model of GCr15 Steel in Isothermal Compression
Authors: Guo Junhang , Li Yanli , Zhai Renpei , Yang Jianwei 
Published: July 2021

Abstract
The plastic deformation behavior of GCr15 steel under temperatures ranging from 700°C to 900°C and strain rates ranging from 0.01s-1 to 10s-1 was researched by isothermal hot compression testing. The strain stress curves obtained by tests show that the maximum stress decreases with the temperature while increases with the strain rate. In the beginning of plastic strain, the stress increases with the strain to maximum stress showing strain hardening, then decreases with strain showing strain softening. The flow behavior is modeled by a combination of exponential and linear functions with 3 parameters and the parameters were obtained by regressions. The effect of temperature and strain rate on the maximum stress was studied by an Arrhenius-type equation. The new constitutive model was verified in this paper.
Experimental Research on the Mixing Performance of Follow-up Dynamic Mixing Equipment
Authors: Liu Haiyan 
Published: July 2021

Abstract
From the current application, the mixing equipment often used includes stirred tank, impinging stream mixing equipment, jet mixing equipment, dynamic mixing equipment and static mixing equipment. There are also certain differences in the mixing performance and application effects of different mixing equipment. This article analyzes the related content of the follow-up dynamic mixing equipment. Through the study of the solid-liquid mixing performance experiment and the mixing time performance experiment of the follow-up dynamic mixing equipment, the purpose is to accumulate reliable experimental data for the smooth progress of other subsequent activities. for reference.
Failure Analysis and protection Suggestions of a Leakage Condenser Tubes in Thermal Power Plants
Authors: Li Xiuneng , Yang Chao , Wang Yunan , Hou Shuang , Wu Yuan Jian 
Published: July 2021

Abstract
The methods of chemical composition analysis, macroscopic morphology inspection, metallographic inspection, scanning electron microscope and energy spectrum analysis are used to analyze the failed condenser brass tubes. The results show that the alloy composition of the condenser tube meets the requirements of the HSn70-1A brass standard. There are many traces of pitting corrosion on the inner surface. The metallographic observation shows that the pitting corrosion is cracking along thegrain boundary, only about 1-3 grains deep. Energy spectrum analysis shows that the content of O, Ca, and P, and a small amount of Cl and S in the corrosion pits are greatly increased, and the zinc content is significantly decreased. Condenser tube leakage is mainly caused by circulating water pollution, until the corrosion penetrates to form a leak. According to the corrosion characteristics, this article puts forward relevant suggestions for the protection of condenser tubes.
Temperature Rise Experiment and Prediction Modeling for Key Position of Preload Adjustable Motorized Spindle
Authors: Songsheng Li , Tongxu Yang , Yangyang Liu , Zhiqiang Zheng , Guoqing He 
Published: July 2021

Abstract
High-speed motorized spindle is one of the key components of CNC machine tools. The temperature rise prediction and control of motorized spindle is an important technology for the development of intelligent machine tools. The influence of gas supply pressure and spindle speed on the temperature rise of the outer ring of the front bearing of the motorized spindle was experimentally studied by using the established test platform for online regulation of the motorized spindle under pre-load. The results show that the steady-state temperature rise of the high-speed motorized spindle increases with the increase of its speed and gas supply pressure. It further indicates that the online control of the pre-load of the bearing can realize the active control of the thermal characteristics of the motorized spindle. The BP neural network temperature rise prediction model was established to predict the temperature rise at the key position of the high-speed motorized spindle under specific rotational speed, air supply pressure and ambient temperature. The reliability and accuracy of the model are verified by comparing the predicted results with the experimental results. The predicted results can be used as the basis for studying the thermal characteristics of high-speed motorized spindle.
Numerical simulation of free liquid surface sloshing characteristics in liquid chamber
Authors: Fu Benshuai , Zhang Jianbin , Xiao Haiyan , Li Guanghua , Qin Liping , Lu Bingju 
Published: July 2021

Abstract
It is of great significance to study that the liquid chamber of the submarine-borne missile launching power system is adapted to the swinging environment after liquid injection in engineering application. In this paper, the VOF method and k-ε turbulence model are adopted, and the UDF is used to simulate external load. The simulation results show that the model established in this paper can be used to simulate the sloshing characteristics of the free liquid surface in the liquid chamber of the submarine borne missile launching power system; Under the action of a given swinging load, the free liquid surface of the liquid chamber is within the allowable range of the design, and will not cause adverse effects on the liquid chamber or even the whole launching power system of the submarine-borne missile.
Failure Analysis of Worm Gear in Worm Transmission
Authors: Tao Zhijian , Chen Hongbo , Zhang Xiaomin , Jiang Yu 
Published: July 2021

Abstract
The failure cause of the worm drive in the NMRV reducer of the grounding knife-switch mechanism of State Grid was analyzed in this paper. The macroscopic analysis, chemical composition inspection, microscopic metallographic observation, hardness test, SEM analysis were carried out to evaluate the worm gear failure mechanism. The stress distributions of the tooth flank using dynamic contact finite element simulation were obtained based on ANSYS Workbench software. The results showed that an initial crack at the root position of softer worm gear was caused by excessively high impact at the initial stage of meshing in the worm drive, whose value was 308MPa higher than the allowable contact stress of 220MPa. The main reason for the hardness of the worm gear decreasing was that the amount of (α+δ) eutectoids fell and distributed unevenly.
Robotic Trajectory Planning for Non-Destructive Testing Based on Surface 3D Point Cloud Data
Authors: Zhang Zhen , Zhang Hualiang , Yu Xiaolong , Deng Yongsheng , Chen Zheng 
Published: July 2021

Abstract
Robotics has been widely used in the field of non-destructive testing in recent years. However, for complex surfaces, manual teaching or offline programming is time-consuming and difficult to ensure high precision for non-destructive testing robot trajectory planning. Therefore, this work proposes a new method to generate non-destructive testing trajectory of the robot based on the pre-processed point cloud data. The workpiece surface is measured by 3D sensor to obtain the point cloud data. The trajectory line on workpiece surface is obtained by slicing pre-processed point cloud data. The dense trajectory points are obtained by isometric discretizing trajectory lines, and then they are compressed by Douglas-Peucker algorithm. The Principal Component Analysis (PCA) method is used to estimate the normal vector of the optimized trajectory points and unify their orientation. The pose of non-destructive testing robot can be obtained by biasing the trajectory points along their normal vectors finally.
Vibration Test and Analysis of Variable Frequency Power Supply Motor Based on LMS Test.lab
Authors: Zhao-jian WANG , Xian-bin TENG , Fa-xin ZHU , Qi-jiang YANG , Kong-xing DING , Wen-xiang CHEN 
Published: July 2021

Abstract
Based on the Test.lab modal test system of the Belgian LMS company, the three-phase asynchronous motor of the swing test bench is tested and analyzed, and the reliability of the motor is verified by using the vibration data of the motor collected under the swing condition by spectrum analysis.
The Modal Analysis of the parallel bars of the crankshaft of a Mini Air Compressor on ANSYS
Authors: Qu Zhenzhen 
Published: July 2021

Abstract
As an important part of the air compressor, the crankshaft is subjected to complex loads and it is important to analyze the adaptability of the crankshaft to the environment. To solve this problem, we must first understand the inherent characteristics of the crankshaft, and modal analysis is an important means to understand the inherent characteristics of the part. It is used to determine the vibration characteristics of the design mechanism or machine components, that is the natural frequency and vibration mode of the structure. They are important parameters in the design of dynamic load mechanisms and the starting point for other dynamic analysis problems.
Application of portable measuring equipment in the field of industrial measurement
Authors: Hu Chang’an , Xing Rui , Hu Song , Li Jiangang 
Published: July 2021

Abstract
With the continuous improvement of measurement requirements, the changing and immovable characteristics of the measured object, the application of portable measuring equipment is gradually increasing. The paper takes the bearing platform, flat plate, industrial robot, fixture, leveling rod verification device and complex system as the typical application cases. This paper presents the multiple applications of three kinds of portable measuring equipment: laser tracker, laser interferometer and joint arm coordinate measuring machine.
Mask R-CNN-based Cat Class Recognition and Segmentation
Authors: Dai Yile , Liu Yunqing , Zhang Siyuan 
Published: July 2021

Abstract
Aiming at the low accuracy of the traditional Mask R-CNN applied to the image segmentation of different cats, an improved Mask R-CNN recognition and segmentation algorithm was proposed. The third channel of the FPN feature extraction path is added to obtain more comprehensive feature information, improve the accuracy of the segmentation mask and reduce the training time. The experimental results show that the method achieves 87.54% segmentation accuracy on the Kaggle dog and cat classification detection dataset, which is 13.57% better than the accuracy of the traditional Mask R-CNN algorithm on the same dataset, and has better detection and segmentation performance, providing a new method for the study of instance segmentation.
Bridge Temperature Prediction Model Based on Long-Short Term Memory Neural Network
Authors: Shu Jingxiao , Zhao Dongyue , Zheng Xuda , Li Yiwen , Zhang Yufeng 
Published: July 2021

Abstract
Based on the pavement temperature data of Sutong Bridge, a prediction model based on Long-Short Term Memory neural network was proposed and optimized in this study, in an effort to improve the prediction and early warning reliability of bridge state. Next, sufficient time was guaranteed for the sake of fault processing by dividing the data model into three parts: observation window, warning window and prediction window. The experimental results show that in comparison with the traditional time series prediction model, the proposed prediction model based on LSTM network is more accurate in the peak prediction, and it can effectively reduce the occurrence of false early warning. Moreover, the comparison results of root mean square error manifest that the proposed model displays a better stability in the long-term prediction.
Red wine quality prediction through active learning
Authors: Tingwei Zhou 
Published: July 2021

Abstract
General machine learning requires a large number of training samples, meaning a lot of manpower and material resources. To solve this problem, active learning and its algorithms are often used. Active learning is a form of semi-supervised machine learning where the algorithm can choose which data it wants to learn from and then use the smallest and most effective labeled data set to make predictions or classifications. This article will show an example of using active learning to predict red wine quality. The predictive modeling approach the author chose was the K-Nearest Neighbor and the active learning algorithm was ranked batch-mode sampling. By observing the learning curve, the author found that generally the prediction accuracy of active learning would increase as the number of iterations increased. The author compared the experiment with another case using classic iris flower data set, and concluded that the prediction accuracy of active learning for different data sets depends on many factors, such as the correlation between the independent and dependant variables, the size of the data set and the number of iterations.
Research on Intelligent Inspection Method of Transmission Channel Satellite Remote Sensing Environmental Changes
Authors: Yang Zhi , Li Mengxuan , Liu Bin , Wang Shenghe , Gao Yun , Huang Jie , Zhao Binbin , Luo Meng 
Published: July 2021

Abstract
With the shortage of transmission channel resources and the increase of human activities, the inspection of transmission channel environment changes is of great significance to the protection of line breakage, the management of transmission channel resources and the detection of hidden dangers in advance. In order to explore a fast and intelligent extraction method of environmental change information in the transmission channel, this paper takes a transmission line section in Tongzhou District of Beijing as the experimental area, takes two high-resolution satellite images of Beijing No.2 as the data source, and conducts principal component analysis and vegetation index processing analysis on the two satellite image data. An intelligent patrol method for transmission channel environmental change based on multi-source feature multi-scale segmentation technology and object-oriented classification algorithm is proposed. The results show that the satellite remote sensing environmental change intelligent patrol method proposed in this paper is sensitive and effective to the human activity change patrol of the transmission channel, and can be extended to the large-scale and normal intelligent patrol operation of the transmission channel against external breach.
Application of Digital Media Interactive Technology in Post-production of Film and Television Animation
Authors: Li Feng , Wang Zhihong 
Published: July 2021

Abstract
With the improvement of domestic economic level and the development of high-tech technology, many computer technologies, image processing technologies, digital media technologies, etc. are constantly developing and becoming more and more popular. Among them, digital media technology has spread to all fields of society, and at the same time, the influence brought by digital media technology is constantly increasing and expanding. With the development of digital media technology, many works of art and works expressed in art form have gradually become diverse, adding many new tricks to the art world and enriching the expression and presentation types of works of art to a great extent.
Research on The Construction Form of Internet of Things Data Information Platform
Authors: Pan Guangyang 
Published: July 2021

Abstract
When the Internet of things system is applied, it is necessary to build a data information platform. The perception layer devices, intelligent terminals and network terminal devices are connected to form the system platform, and the corresponding software is installed on the software management information platform to manage the data of the Internet of things system. We set up a data and information processing software platform to achieve the tasks and objectives of the Internet of things system. The data collected by the perception layer is calculated, stored, classified, analyzed, mined and understood, and the data of the perception layer is analyzed. So as to achieve the purpose of real-time control, accurate calculation, accurate management and scientific decision-making of the Internet of things system. Through the intelligent man-machine interface, the Internet of things smart grid, environmental monitoring, warehousing and logistics, industrial control, smart supermarket, smart medical, smart home, smart agriculture and extended function access can be realized.
Fixed-Time Neural Control for Hypersonic Flight Vehicles with Asymmetric Time-Varying Constraints
Authors: Dong Zehong , Li Yinghui , Xu Haojun , Li Zhe , Pei Binbin , Zheng Wuji 
Published: July 2021

Abstract
This paper presents a novel fixed-time adaptive tracking control scheme for the hypersonic flight vehicles (HFVs) subject to asymmetric time-varying constraints, uncertain dynamics and unknown external disturbances. By incorporating the back-stepping technique and radial basis function neural networks (RBFNNs), the uncertain dynamics of HFVs are estimated. Note that most existing results only achieve practical fixed-time stability but not fixed-time stability, or require specific knowledge of all the dynamics of HFVs. To remove such restrictions, a fixed-time controller is newly constructed by means of a tuning functions and a projection operator-based adaptation mechanism. In consequence, the tracking errors can asymptotically converge to the preassigned compact set within fixed-time and the asymmetric time-varying constraints of HFVs never are violated. Finally, the effectiveness and superiority of the proposed control strategy is demonstrated by numerical simulations.
Ranking links in a combat network based on mission
Authors: Zhang Hao , Yang Zhiwei 
Published: July 2021

Abstract
In this paper, a practical method and process for evaluating the importance of the links in combat system oriented to soft killing is proposed, which fully considers the current mission requirements faced by combat commanders, and integrates the theory of operation loop. Decision makers can easily use this assessment method to prioritize communications link upgrades for combat systems. Firstly, the network model of the combat system is constructed by analyzing the structure of the combat system and the correlation between the components. Secondly, the subtask composition and relevant information of the mission needed to be executed by the current combat system are analyzed, and the evaluation index of mission participation on the link is introduced. Then, the combat capability evaluation method of combat system based on operation loop is used for evaluating the influence degree of combat network link on the survivability of combat system. Finally, the importance degree of link is analyzed and evaluated by combining these two indexes, and the key communication links between entities within the combat system are found by using these two indexes as evaluation indexes.
Application of Virtual Reality Technology in the Maintenance of Steam Turbine
Authors: Pan Zijie , Sun Hairong , Li Li 
Published: July 2021

Abstract
Traditional steam turbine maintenance work has many shortcomings, such as poor effectiveness, high cost, and long cycle. In order to solve this problem and improve the professional skills and maintenance efficiency of steam turbine maintenance personnel, we first collect steam turbine equipment drawings and 3D dimension data of parts, and use 3D modeling software to establish augmented reality scene model. Then combined with the virtual reality technology and image fusion technology to realize the maintenance procedure training and maintenance auxiliary guidance of the steam turbine unit. The practical application results show that this technology can realize the virtual and real operation of the model by users in augmented reality scenes, bring interactive and immersive experience to operators, and improve the work efficiency of maintenance personnel.
Projected response of global runoff to El Niño-Southern oscillation
Authors: Le Thanh , Ha Kyung-Ja , Bae Deg-Hyo 
Published: July 2021

Abstract
The El Niño-Southern Oscillation (ENSO) is a major mode of interannual climate variability and is expected to affect runoff variations at a global scale. While previous studies focused on the correlation analysis between ENSO and runoff and ENSO-induced amplitude changes of runoff, causal analysis considering the confounding impacts of other major climate modes is lacking. As more extreme ENSO events are projected in the future, it is crucial to enhance our understanding of the impacts of ENSO on global runoff. Here we examine the causal influences of ENSO on runoff over the future period 2015–2100 using outputs from Coupled Modeling Intercomparison Project Phase 6 model simulations. Our analyses account for the possible confounding effects of the Southern Annular Mode, the North Atlantic Oscillation and the Indian Ocean Dipole. We find that the signature of ENSO is detectable in future total runoff over various regions including limited areas in central and eastern Asia, large parts of Southeast Asia, limited areas in the eastern and southern Africa, western and eastern Australia, parts of southern and western North America, eastern Antarctica and large parts of South America. There is a high agreement across models for the causal influences of ENSO over central Asia, the eastern coast of Australia, southcentral North America and South America. Multi-model future projections demonstrate higher impacts of ENSO on total runoff over western and central Asia, the western coast of North America and southeastern South America compared to the historical period 1915–2000. All regions with substantial ENSO impacts account for 3.6% land-area in historical simulation and this fraction increases to 5.6% in the future scenario. In addition, the results underscore that surface runoff is less sensitive to ENSO compared to total runoff in most regions. These results may have implications for future water management planning based on ENSO.