bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role and Effects of Thermal Radiation on the Non-equilibrium Heat Transfer in a Porous Filled Enclosure
Authors: Chen Yiwei , Chen Yuanyuan , Xu Xuecheng 
Published: March 2021

Abstract
In this paper, the temperature differential between the solid and liquid phases in considering of combined conduction-convection-radiation heat transfer in porous media is investigated. Simultaneous solution of the solid and fluid energy equations encompasses local thermal nonequilibrium, with volumetric radiative heat flux needed in the solid-phase energy equation. The two energy equations together with the radiative heat transfer equation are simultaneously solved using the Chebyshev spectral method. The influences of the Planck numbers, the optical thicknesses, the scattering albedos, and the emissivities of the bounding walls on the thermal behavior are investigated. The results show that: (1) When Pl increases above 20, the effect of radiation on the flow and thermal field can be ignored. (2) Changing ⌖L
has a significant effect on the solid phase temperature while, the effect is little on the fluid phase temperature. (3) For ω = 1.0, the distribution of θS
− θf
seems to be centrally symmetric. (4) θS
− θf
are always positive except for εW
= 1.0.
The Knowledge Graph of Chinese Cadre Education and Training Research--Based on the Bibliometric Analysis of CSSCI Sources from 2001 to 2020
Authors: Zhang Tian , Huang Xin , Liu Ping , Fu Quanbao 
Published: March 2021

Abstract
Cadre education and training is a leading, basic, and strategic project for the construction of the cadre team, providing strong leadership and cadre team guarantee for party building and national development in all periods. In the past 20 years, fruitful results have been achieved in research in related fields of education and training of Chinese cadre. This paper analyses 308 CSSCI papers with the help of Citespace software and found that the existing research focuses on three aspects: the history of cadre education, the improvement of the effect of cadre education and training, and the strategy of cadre education and training. It is found that the correlation between the research topics is insufficient, the research results are relatively independent, and the quantitative analysis results are insufficient. It is concluded that research on the theory of cadre education and training, research on policies of cadre education and training, and research on the construction of the cadre education and training system with Chinese characteristics in the new era should be the focus of the next cadre education and training research.
Application of Carbon fiber-reinforced plastic composite material in automotive bumper
Authors: Liu Yiheng 
Published: March 2021

Abstract
The emission problem of these traditional gasoline vehicles has become more and more serious. To reduce emission, an important method is to reduce the weight of the car. In this study, a standard model of a vehicle bumper is used to conduct the experiment on lightweight bumper design. The material simulated in the model of the bumper is CFRP material. The angle of each laminate of CFRP material and the layout of the laminate structure contains six layers are modeled in Hypermesh software. Then CFRO material is used to replace the traditional aluminum and reduce the weight of the front bumper component.
A finite-element method for analysing solid expansion process and supervising material selection
Authors: Wang Zhixing , Li Xiucheng , Zhang Hesong , Shang Chengjia , Wang Xuemin 
Published: March 2021

Abstract
Solid expansion technology is regarded as one of the revolutionary technologies that will change the future development of petroleum and gas industry. However, in the process of material selection of expandable tubular, there is always a contradiction between excessive expansion force and insufficient strength of expansion tube, which restricts the application and development of this technology to a great extent. In order to analyze the expansion performance of expansion tubes made of different materials, and the expansion conditions with different friction coefficients, different materials, different expansion cones and rates, finite element models were established by ABAQUS software in this paper to simulate the expansion tubes of several specifications. By comparing the experimental and simulation results, the reliability of the model analysis is demonstrated by the small error range. The influence of material mechanical properties, friction coefficient on expansive force after expansion were analyzed. Moreover, the material selection principle of expandable tubular is also discussed.
Simulation Research on Temperature Field of IN 625 Alloy by Micro-arc Plasma Additive Manufacturing Using Gaussian Heat Source
Authors: Yuan Xiaojing , Guan Xiaohu Chen Ning , Wang Xuping , Guo Xiaohui 
Published: March 2021

Abstract
As a rising star in the field of additive manufacturing, micro plasma additive manufacturing technology has attracted more and more attention because of its unique heat source advantages. However, the simulation method based on micro plasma additive manufacturing technology is not mature enough to reveal the law and guide the experiment. In this paper, the single pass single-layer cladding process of in625 alloy manufactured by micro arc plasma additive is simulated by computer simulation method. The temperature field distribution in the manufacturing process of micro arc plasma additive is studied and the thermal process of characteristic points is output. The results show that: the finite element simulation method can better restore the heat source moving process of micro arc plasma additive manufacturing, and the Gaussian surface heat source has good applicability in the micro arc plasma additive manufacturing. The simulation results can provide theoretical basis and data support for the organizational evolution in the manufacturing process of micro arc plasma additive.
The influence of the development of new energy vehicles on the environment from the game perspective
Authors: Wang Ruiqian 
Published: March 2021

Abstract
In order to alleviate environmental problems such as air pollution, this paper starts from the new energy automobile industry and analyzes the behavior strategies between the government and consumers, two stakeholders of new energy automobiles, through the dynamic game model. The following conclusions can be drawn from the utility function. First, theoretically, the government will not provide any financial subsidies for new-energy vehicles. Second, consumers’ behavioral strategies are influenced by financial subsidies, vehicle purchase taxes, and the utility and cost of purchasing new energy vehicles or traditional vehicles. Therefore, the government should pay attention to the social level in order to achieve the maximum of social utility. On the one hand, the government should enhance the continuity of subsidy policies for consumers who buy new energy vehicles and strengthen the supervision of the implementation of subsidy policies. On the other hand, the government should play a positive role of its own credibility to the public and improve the awareness of environmental protection among car buyers. And consumers should constantly improve the sense of responsibility for environmental protection, so that the two can cooperate with each other and make contributions to environmental protection.
The elasto-plastic analysis of the structure of a main factory building by setting up the isolation device
Authors: Tao Xue 
Published: March 2021

Abstract
The lead damper is a kind of energy dissipating device with stable hysteretic performance, good shock absorption performance and simple structure. To study the lead damper damping effect in the main machine hall, the nonlinear finite element analysis software ABAQUS is adopted to analyze the seismic performance of a main machine hall with lead damper under the action of the rare earthquake and compare the elastic-plastic analysis results under the action of different seismic wave in this paper. The results show the structural seismic performance has been improved significantly, “no collapse under strong earthquake” can be achieved, A successful engineering case was provided for the application of lead damper in the damping design of main machine hall structures.
Prediction of Insulator Pollution Flashover Voltage Based on Data Mining Technology
Authors: Zhou Hongmin , Chen Yutong 
Published: March 2021

Abstract
The pollution flashover of insulators is of great significance to the safe and stable operation of power grids. Therefore, studying the pollution flashover voltage of insulators has very important guiding value for the external insulation prevention of power grids. For this reason, this article has obtained the flashover voltage under different salt densities and gray densities through manual pollution tests. Data mining technology is now widely used. In order to better apply data mining to the insulation flashover voltage prediction,this paper adopts the support vector machine regression method in data mining technology to establish a prediction model to predict the insulator pollution flashover voltage. Through this method, the flashover voltage of the insulator can be predicted in time, which is of great significance for maintaining the safe and stable operation of the power system.
Synthesis and Electrochemical Performances of Iron Oxalate-Multiwalled Carbon Nanotubes Composite Anode for Lithium-ion batteries
Authors: Li Yongjia , Gao Geng , Wang Qianwen , Zhang Keyu , Yao Yaochun 
Published: March 2021

Abstract
Iron oxalate, a widely used anode material in lithium-ion batteries for nearly 10 years, has been developed as promising candidates for anode materials owning to their higher electrochemical reactivity, outstanding cyclability, lower cost and environmental friendliness. In this paper, the iron oxalate-multiwalled carbon nanotubes (FeC2O4@C) composite was successfully synthesized by electrostatic self-assembly technique and the influence of special structure on lithium storage ability was also explored. The results show that the multiwalled carbon nanotubes are embedded inside the rod-like particles of FeC2O4 and also threaded on surface of the multilayer structure. Coupled with excellent structural stability and enhanced Li+ ion diffusion coefficient, FeC2O4@C exhibits suggests superior long-term stability (a reversible specific capacity of 970 mAh g−1 after 50 cycles at 0.5 A g−1) and satisfactory rate capability (824.06 mAh g−1, 770.47 mAh g−1 and 688.60 mAh g−1 at 1, 2, 3 and 5 A g−1, respectively).
Experimental investigation of high-temperature creep properties parameters in 2520 steel
Authors: Wu Hongliang , Zou Haiping , Yu Xiaohong 
Published: March 2021

Abstract
The creep properties parameters of 2520 steel have been investigated by high temperature creep experiments. It shows that the steady-state creep rate of 2520 steel under 700°C (150MPa, 170MPa, 180MPa), 725°C (150MPa, 170MPa, 180MPa), 750°C (150MPa, 170MPa, 180MPa) are 2.34339×10−3 h1, 2.8203×10−3 h1, 3.0559×10−3 h−1, 3.84×10−3 h−1, 8.2678×10−3 h−1, 1.215×10−2 h1, 3.58376×10 h−1, 5.23867×10−2 h−1, 6.48349×10−2 h−1, respectively. The stress index of 2520 steel under 700°C, 725°C, 750°C are 1.459, 6.2866, 3.216, respectively. And the apparent activation energy of 2520 steel is 478.81 kJ/mol. The results of this study can provide some technical references for the safety management of 2520 steel.
Research on Nozzle Flow Field and Performance of Water Ramjet at Large Depth
Authors: Wang Jiawen , Wang Rui , Yao Zhong , Sun Yanhu , Qi Xiaobin 
Published: March 2021

Abstract
For coprecipitating vehicle, water ramjet is an ideal way to reduce drag. In this paper, the performance of water ramjet at large depth and the flow field structure at nozzle are simulated and analyzed. Through the numerical simulation method of underwater Jet flow, this paper studies the development process of flow field at the initial stage and the parameters variation with time of Jet flow in steady state when the working depth is 200meters. The results show that at the beginning of the jet flow, the water blocking effect seriously prevents the development of the gas bubble, and the gas bubble turns over at the nozzle outlet, and expands in length and width. The unsteady process of ‘necking expansion necking’ occurs repeatedly at the nozzle outlet, with the pressure, velocity and temperature change dramatically near the nozzle outlet. When the flow field is fully developed, the pressure, density, flow rate and thrust of the nozzle outlet fluctuate repeatedly with time, and finally tend to a stable value after many oscillations.
Research Status of Oil Water Separation and Oil Absorption Materials -- Visual Analysis of Literature Based on Web of Science Database
Authors: Yang Chenxi , Wang Jian , Zhang Haiou 
Published: March 2021

Abstract
To understand the latest research progress, research trends and future research hotspots of oil-water separation and oil absorption materials for oil spill and oily wastewater at home and abroad, through the web of science core collection database, Based on the literature analysis tools of web of Science (WOS) database, vosviewer visual analysis software and origin, the published literatures on oil-water separation materials and oil absorption materials were quantitatively analyzed in terms of the number of papers published at different times, the top 10 countries (regions), research institutions, research directions, journal sources, etc. The results show that: with the growth of time, the number of papers published gradually increases; China, the United States and India rank the top three, among which China accounts for 40% of the total, indicating that China is in the leading position in this field; among them, Chinese institutions are in the absolute leading position; chemistry, materials and engineering are the most concerned research directions.
Research and Design of Phase Change Energy Storage Water Intake Device
Authors: Liu Zichuan , Cao Xuewei , Zhou Changqing , Yun Hanfang , Liu Zhipeng 
Published: March 2021

Abstract
With the gradual aggravation of desertification, aquatic plants are very rare, rain is scarce, and the air is very dry in desert areas, which poses unprecedented challenges to the survival of local residents. In order to solve the crisis of lack of fresh water, the research on air water intake was carried out, and the corresponding design of air purification device was carried out. The benefit and feasibility of the air purification device were analyzed by using the model and software.
Analysis and Research on Standard System and Technical Requirements of Jib Crane
Authors: Zhao Wei , Ning Weiting 
Published: March 2021

Abstract
Jib crane is one of the most important crane types. It has been widely used in lifting heavy load in ports, shipbuilding, hydropower construction, nuclear power construction, equipment manufacturing, railway, construction and metallurgy industries and so on. China is a leading manufacturer, user and exporter of jib crane, therefore this research will compare, analyze and study the standard system and technical requirements of jib crane between China, other countries or regions as well as international field.
Reduction of Modal Vibration Effect in Load Identification of a Train Bogie Frame
Authors: Ma Shuang , Sun Shouguang , Jin Xincan , Wang Ning , Wang Binjie 
Published: March 2021

Abstract
In order to identify the external applied load on train bogie frame, the load response measured by sensor, e.g. strain gauges, is used in engineering practice. However, it is difficult to model the load-response correlation precisely since the bogie frame system characteristic is complicated, especially, it contains many modal vibration effects. The commonly used linear load-response correlation assumption thus deviates from the truth especially at resonant frequencies. A new approach to reduce the modal vibration effect from the load response based on single degree of freedom assumption is proposed in this article. The approach is applied on real measurement of Beijing Subway train bogie frame and the reduction performance is verified.
Distributed Photovoltaic Short-Term Power Prediction Based On Genetic Algorithm Optimized BP Neural Network
Authors: Zhou Baili , Yan Dandan , Xiong Lianying , Li Yumei , Zhang Yufan 
Published: March 2021

Abstract
With the rapid development of the world economy, energy demand is increasing.Photovoltaic power generation has the advantages of green, environmental protection and renewable, and the proportion of photovoltaic power generation, a new reusable clean energy in the power generation system, has shown a steady increase;However, the power output of photovoltaic power generation systems is affected by many factors, presenting a high degree of uncertainty and volatility, which brings high difficulties to the large-scale grid-connected operation of photovoltaic power generation.Aiming at the shortcomings of existing photovoltaic power generation forecasting, this paper builds a photovoltaic power station power prediction model based on genetic algorithm and BP neural network algorithm, and uses photovoltaic power station operation examples to verify the validity of the model.By using the global search capability of genetic algorithm to optimize the initial weights and thresholds of BP neural network, the prediction accuracy of photovoltaic power generation is improved, which can provide a reference for photovoltaic power generation prediction engineering practice.
RETRACTED: Stability analysis of distributed smart grid based on machine learning
Authors: Li Chenghan 
Published: March 2021

Abstract
Decentralized Smart Grid (DSG) is a new technology proposed to power networks with elastic nodes. It can realize dynamic electricity price demand response without large-scale transformation of the infrastructure.In order to analyze the system stability of DSG, six representative machine learning classification models were applied to analyze the stability data of 10,000 samples of the 4-node system. Combined with the requirements of power system security, stability and economic performance, the effect of each classification model on the stability prediction of DSG system was tested.The test results showed that the model with a Gaussian kernel basis function kernel support Vector machine (RBF SVM) was suitable for data analysis, with the accuracy up to 97.10% and the F metric up to 0.977.CART decision tree model is suitable for real-time forecasting of power system. Under the requirement of ensuring real-time forecasting, its accuracy can reach 84.90% and F metric can reach 0.882. Its modeling and prediction calculation requirements are only 0.98% and 1.59% of that of RBF SVM model respectively.
Effect of Ni-Cr-Fe powder formulation on performance of porous materials based on Ink-jet Printing technology
Authors: Gu Hai , Sun Jianhua , Zhang Jie , Xu Yuanyuan , Jiang Jie , Li Bin 
Published: March 2021

Abstract
Ni-Cr-Fe porous material has the advantages of high temperature resistance, corrosion resistance and good permeability. It has good application prospect and development value as filtration, sound absorption, energy absorption and biological functional materials. In this paper, Ni-Cr-Fe as the main raw material, and PVP, carbon powder, starch as additives, using In-kjet printing molding process, the proportion of raw materials and additives as different levels of orthogonal experiment, the optimal formula was studied. The optimum combination of parameters was obtained by means of open porosity test, hardness test, compression test and comprehensive factor balance analysis. The results showed that the ratio of Ni-Cr-Fe was 20:50:30, carbon powder was 3%, PVP was 15%, and starch was 0.8%. The technological process of preparing Ni-Cr-Fe porous materials by Ink-jet printing technology is discussed in detail, and the adhesive formula and ink formula suitable for Ni-Cr-Fe powder material are provided, which provides practical proof for the indirect pore forming theory of binder.
Study on forming accuracy of ZrO2 ceramic materials prepared by DLP technology
Authors: Sun Jianhua , Gu Hai , Jiang Jie , Xu Yuanyuan , Li Bin , Zhang Jie 
Published: March 2021

Abstract
DLP technology is one of the 3D printing methods for ceramic materials, and its forming accuracy is affected by the preparation of ceramic slurry, debinding and sintering process. In view of three different slurry preparation methods and solid content, the flow characteristics of slurry were studied. The reasonable debinding and sintering process was formulated, and the debinding and sintering treatment were carried out. The influence of slurry preparation methods on the forming accuracy of green parts and sintered parts was found out. The results show that with the increase of solid content, the viscosity of slurry also increases and the fluidity becomes worse. Increasing milling time and rotating speed can improve the flow characteristics of the slurry with 70% zirconia solid content. The C method can not only increase the solid content of the slurry, but also reduce the shrinkage of the sintered parts and improve the dimensional accuracy of the sintered parts.
Research on Low-Carbon Living Landscape Garden Environment Design under the Concept of Green Environmental Protection
Authors: Deng Guiyan 
Published: March 2021

Abstract
The scientific and reasonable design of garden landscape is one of the important means to solve the problem of environmental pollution, and it is also an important means to promote scientific and reasonable garden design and planning. In-depth and systematic investigation and analysis of current garden planning and design ideas and plans, combined with the current era background, put forward ideas for garden landscape design based on environmental protection. This idea will help improve the planning and design of green and environmentally friendly ecological gardens, build a healthy life with energy saving and emission reduction, and guide the healthy development of cities. The thesis focuses on the application of low-carbon concepts in modern urban landscape ecology, and specifically points out a variety of landscape design methods.
Research on the Harm Degree of PM2.5 Atmospheric Particulate Pollution to Human Health
Authors: Gao Yeling 
Published: March 2021

Abstract
Today’s haze weather, as an atmospheric environmental pollution that seriously endangers human health, plagues most cities and regions in my country, and fine particulate matter in the air (especially PM2.5) is an important pathogen that poses a serious threat to human health. The toxic and harmful (allergic) substances contained in PM2.5 and pathogenic microorganisms such as bacteria and viruses can induce and aggravate human respiratory diseases, cardiovascular diseases, cancers and metabolic diseases, and increase the incidence and death of these diseases Rate; PM2.5 enters the lung tissue through the respiratory tract, and then enters the blood circulation through the capillaries, through direct damage to the human body, inflammatory damage, stimulating the human body to produce oxidative stress, damaging the human body’s immune system, and mutating human DNA And other effects, causing harm to human health. This article takes PM2.5 as an example to summarize the research status of PM pathogenicity, in order to attract the attention of pathology research field.