bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular Behavior of Different Polycarboxylate Superplasticizers
Authors: Li Geli , Fang Yunhui , Wu Chuandeng , Guo Yuanqiang , Ma Xiuxing 
Published: November 2019

Abstract
Four different types of polycarboxylic superplasticizers were synthesized by using different macromonomers, and then the molecular behavior of GPC, infrared, nuclear magnetic, cement hydration heat and micromorphology were characterized. The results showed that different types of PCEs have different molecular behaviors. The research showed that the molecular weight and molecular weight distribution of PCE1 were the smallest, and these four different types of PCEs have better molecular weight and molecular weight distribution. The infrared spectra of the four PCEs were not much different. However, by 1H NMR, the macromonomer used in PCE1 when synthesised was MPEG. The macromonomer used in PCE2 and PCE4 when synthesised were TPEG, and the macro monomer used in PCE3 was HPEG. Cement hydration heat and scanning electron microscope data showed that PCE4 has the better early strength.
Study on Modification Technology of High Calcium Ash Steel Slag Composite Based on Microstructure Characteristics
Authors: Yan Zhou , Hao Zhang 
Published: November 2019

Abstract
By means of physicochemical modification technology, mineral admixture particles adhere to the surface of high calcium ash particles. On the one hand, mineral admixtures play a role of grinding aids, on the other hand, mineral admixtures are uniformly dispersed and closely contacted with high calcium ash particles. It is conducive to the hydration reaction of high calcium ash particles and reduces the most probable pore distribution and porosity. Active calcium oxide has a high content and contains a certain amount of self-hardening minerals. The single modification method of chemical admixtures can not effectively exert the chemical excitation effect of chemical admixtures on the activity of high calcium ash. High calcium ash and steel slag have great potential for utilization in cement concrete, and their full utilization is beneficial to environmental protection, energy saving and obtaining certain economic benefits. High calcium ash and steel slag admixture technology have achieved certain results. However, it is necessary to further study the activity of high calcium ash and steel slag in the fluctuation range of raw materials. And applied to the preparation of high durability gelation blending amount.
Performance-based Piezoelectric Material Applied in Health Inspection of Civil Engineering Structures
Authors: Xu Li , Zhang Liang 
Published: November 2019

Abstract
The application of piezoelectric impedance principle in health monitoring of civil engineering structures has attracted more and more attention. In this paper, the application of piezoelectric materials in health detection of civil engineering structures is reviewed. The basic principles, research progress, advantages and problems of impedance method and wave method are analyzed. Civil engineering structures, such as dams, bridges, high-rise buildings, etc., will inevitably suffer some damage during their service. Sometimes it is caused by natural factors of force majeure, or due to long-term accumulation damage, these damages will directly cause structural resistance to decay, and in severe cases may lead to catastrophic accidents. The support role of structural monitoring technology is needed to provide early warning of these disasters. Piezoelectric materials, piezoelectric impedance principles, interaction models of piezoelectric materials with monitored structures, and monitoring techniques based on impedance information. The research results of piezoelectric material size selection, scanning frequency selection, sensing range, binder influence, data acquisition equipment development and data processing methods are summarized.
Research and design of new type photovoltaic vacuum insulation cup
Authors: Zhang Shiqi , Ning Xiaoqiu , Ding Kaining , Guo Meiqi , Wang Lidi 
Published: November 2019

Abstract
Aiming at the problem of limited insulation time of vacuum insulating cup, the modification and design of new photovoltaic vacuum insulating cup are completed, including selection of heating material, selection of power supply of photovoltaic insulating cup, power transmission and overall structure design. Compared with similar research, this paper focuses on the selection of heating materials and the use of wireless transmission devices to solve the problem of thermal insulation. In this paper, the structure of photovoltaic insulating cup is studied, and the optimum heating material is discussed. Combined with photovoltaic power supply and wireless power transmission technology, the design of insulation Cup is completed, and the insulation performance of this design is verified for more than ten hours.
Infrared temperature spectrum analysis of air conductor considering vibration factor
Authors: Yu Xiangyang , Zhao Yuliang , Yao Linghong , Zhao Shi , Lingu  
Published: November 2019

Abstract
Through the analysis of the thermal state model of the wire, it is considered that the temperature rise is the characteristic parameter to measure the working state of the wire, which is related to the actual heat dissipation coefficient and heat dissipation surface area, and is determined by practical factors such as laying mode, operating current and thermal load, and external working condition. A method to determine its thermal state by obtaining infrared temperature spectrum is proposed, and the relatively stable temperature rise is taken as the evaluation index. The vibration condition promotes the establishment of heat exchange and its equilibrium. Different laying methods have different sensitivity to vibration and thermal stress.
Research on innovative design of mountain bike fender
Authors: Hua Yinhong 
Published: November 2019

Abstract
Based on the analysis of the insufficient of existing mountain bike fenders, the type of mountain bike tires and the use environment of mountain bike fender, combined with the design of color and material application, This paper makes a theoretical discussion on the innovative design of the mountain bike fender, and has carried on the constructive design, which solves the problems such as single shape, poor stability and imperfect function of mountain bike fender, and has practical value and guiding significance in actual product development.
Effect of mixing time of coupling agent on properties of 3D printing prototype of fly ash filled ABS
Authors: Xuan Ye , Huajin Tu , Zhiwen Qiu 
Published: November 2019

Abstract
Fly ash was modified by being mixed with silane coupling agent for 10min, 20min, 30min, 40min and 50min. Pure ABS, compounded materials consisting of unmodified and modified fly ash and ABS were extruded into filaments. 3D printed specimens were manufactured with extruded filaments. Results show, ABS filaments have good 3D printing process and product performance and unmodified fly ash is harmful to ABS filaments. To improve interface bonding between ABS and fly ash, silane coupling agent can be introduced, and mixing it with fly ash for 30min may be a better choice, which has better dimension stability, impact strength and tensile strength.
Estimation Requiring Torque of Prosthetic Screw by Finite Element Analysis and Experiment
Authors: Zhang Xiao , He Jingyan , Feng Wei , Chen Xianshuai 
Published: November 2019

Abstract
The purpose of the study was to find the influence of screw tightening torque to the prosthetic screw and screw-retained abutment-implant complex in long-term using. In this study, a method of FEM simulation is presented to estimate a suitable tightening torque of prosthetic. Torsion test has been carried out to find the ultimate torque secondly. The results of experimental are compared with simulation ones and shows a good agreement. A FEM modelling of occlusal loading with considering tightening torque is performed to investigate the influence of tightening torque under external loading subsequently. And the safety factor of 107 cycles is calculated based on the present modelling to judge the reliability in long-term using. The result shows that tightening torque not only affect the stress of prosthetic screw significantly but also the stress of screw-retained abutment. According to the study, a tightening torque less than 18N⋅cm is recommended to use ensure the functionality of implant system.
Influences of mandrel types on forming quality of TA18 high strength tube in numerical control bending
Authors: Fang Jun , Lu Shiqiang , Liang Chuang , Cheng Lu , Zheng Deliang 
Published: November 2019

Abstract
In order to improve the forming quality and limit of tube numerical control (NC) bending, it is necessary to select reasonable mandrel types. A finite element (FE) model of the whole process of TA18 high strength tube in NC bending was established based on the platform of ABAQUS, and its reliability was validated. Then, using the model, the effects of no mandrel, cylindrical mandrel, hemispherical mandrel and ball-and-socket mandrel on the distribution of tangential stress/strain, wall thinning and cross section distortion were studied. The results show that the shape, size and location of the tangential stress/strain distribution have no obvious difference for the NC bending without mandrel and with three mandrel types. For the bending without mandrel, the wall thinning is the smallest, and the cross section distortion is the largest, which exceeds the requirement of aviation standard. Three types of mandrel have no significant effect on the wall thinning, while the hemispherical mandrel is the most conducive to control the cross section distortion.
Application of Mesofacies Analysis Technology in Lithologic Reservoir Prediction
Authors: Guangying Hong 
Published: November 2019

Abstract
As an effective technique for exploration and development of lithologic reservoirs, curves and logging facies of several exploration wells and development wells in the facies analysis area were analyzed and sedimentary interpretation was carried out. Based on the analysis of well logs in the study area, this paper concluded that the main sedimentary facies in the study area are delta plain and fore-delta. It is concluded that the study area has experienced the sedimentary evolution process and sedimentary law of delta front, delta plain and delta front. It is pointed out that sedimentary micro-facies are the main oil and gas reservoir. Finally, the distribution and regularity of oil and gas enrichment areas are studied.
Research on Key Technologies of Intelligent Seeding Robot Based on Zigbee Network
Authors: Ying Wang , Kai Liang , Qi Liu , Shuo Li , Yao Gou , Baohua Li , Jinran Liu 
Published: November 2019

Abstract
Aimed at the problems of slow seeding speed, inaccurate path tracking and low efficiency of domestic intelligent seeding robot. An intelligent seeding robot based on Zigbee network is proposed. Wireless sensor and Zigbee network technology are combined to obtain real-time environmental data in the working area and transmit it to the robot for seeding operation. The incremental PID control method corrected by digital compass is adopted to control the robot to walk in a straight line and the ant colony algorithm is adopted to realize the path planning of the intelligent seeding robot. It solves the problem of seeding robot effectively and makes intelligent seeding robot widely used.
Kernel Adaptive Filtering Multiple-model Actuator Fault Diagnostic For Multi-effectors Aircraft
Authors: Zhu Peng , Dong Wenhan 
Published: November 2019

Abstract
In the traditional Multiple Model Adaptive Estimation (MMAE) algorithm, the extended Kalman filter has theoretical limitations, and the establishment of accurate aircraft mathematical model is almost impossible. In this paper, the Kernel Adaptive Filter (KAF) is introduced to replace the Kalman filter, a new multi-model adaptive estimation fault diagnosis method is proposed. Based on the kernel methods, the adaptive filter is designed in the high-dimensional feature space without the need to know the system model in advance. After training of KAF using the offline input control signal and output flight states measurement with noise, the estimation of real flight states values and actuator fault detection and isolation can be realized online. The simulation results show good performance of new fault diagnosis method in actuator fault diagnosis.
A self-calibration method for gyro scale factor asymmetry in rotational inertial navigation system
Authors: Yu Y S , Lv Y H , Wang L , Liu Z J 
Published: November 2019

Abstract
In the rotational inertial navigation system (RINS), the inertial measurement unit (IMU) rotates around the motor shaft, which will stimulate the gyro scale factor asymmetry, so it needs to be effectively calibrated and compensated. In this paper, the influence of gyro scale factor asymmetry on angular velocity error, angle error and velocity error is analysed, and a self-calibration method for it is proposed in the RINS using velocity errors as measurements. A self-calibration rotation strategy is designed for the dual-axis RINS so as to carry out self-calibration for the scale factor asymmetry of x-gyro, y-gyro and z-gyro. The feasibility of this scheme is verified by theoretical analysis and simulation. Experiments are carried out on a set of dual-axis RINS based on fiber optic gyroscope, and the scale factor asymmetry calibration results of three gyros are 2.56 ppm, 10.01 ppm and 0.88 ppm, respectively. In the navigation experiment, the navigation error is improved by 57.45% after compensating the gyro scale factor asymmetry error, which fully illustrates the significance of the proposed self-calibration method in improving the navigation performance of RINS.
Analysis and Design of Magnetic Levitation and Mechanical Spring Compound Vibration Isolation Control System
Authors: Dong Weihua , Zhai Mingda , Li Xiaolong 
Published: November 2019

Abstract
In this paper, the magnetic levitation and mechanical spring compound vibration isolation control system is designed by applying maglev active control on the basis of mechanical vibration isolator. The system can effectively solve the problems of fixed structure parameters and poor environmental adaptability of passive vibration isolators, and can be applied to the anti-vibration protection of precision instruments in complex environments. This paper analyses the mechanism and characteristics of maglev vibration isolation, deduces the dynamic model of the system, discusses the design of the active vibration isolation control strategies, and carries out several simulation experiments of vibration isolation in different environments. The results show that the design scheme of the system is reasonable and feasible.
Application of Lock-in Amplifier Technique in AC FSM based on AD630
Authors: Duan Rujiao , Meng Xiangji , Yang Yong , Sun Ming , Chen Jinzhong , Wang Haitao 
Published: November 2019

Abstract
Field Signature Method (FSM) is one of non-intrusive technique for pipeline internal corrosion monitoring, but the commercial FSM systems nowadays are all using DC input which have many shortcomings. In this paper, AC FSM based on AC input has been developed, DC FSM can be replaced by AC FSM with low-frequency. To extract weak signals, the lock-in amplifier based on AD630 has been designed and manufactured, the functions and designed circuits of each part have been proposed. Experimental results show that, the application of lock-in amplifier technique in AC FSM based on AD630 can measure the weak signal from the noise interference effectively, ensuring the accuracy and security at the same time.
Deep Learning Based Circuit Breaker Non - Full - Phase Operation State Monitoring Method
Authors: Tao Tao 
Published: November 2019

Abstract
To solve the problem of low accuracy of the traditional monitoring method, a deep learning based monitoring method is designed. A sensor is installed at the part that may cause the circuit breaker to run in non-full phase and the state data of the circuit breaker is collected through the sensor. Filter and digital-to-analog converter are used to reduce noise and digital-to-analog conversion of the signal transmitted by the sensor. After the data are standardized and normalized, input into the convolutional neural network. The parameters and weights of convolutional neural network are determined by training the sample data. After the training of convolutional neural network, the input neural network data are processed according to the determined parameters and weights. Output the processed results to the database, in the database classification algorithm after the data classification, sent to the circuit breaker operation control module, to achieve the circuit breaker operation status monitoring. Through the comparison with the traditional monitoring methods, it is verified that the designed deep learning-based state monitoring method has higher accuracy and can make up for the shortcomings of the traditional methods.
An enhanced heat collector design and numerical simulation for solar chimney power plant
Authors: Fu Shijun 
Published: November 2019

Abstract
The solar chimney power plant (SCPP) is a promising renewable energy technology to address energy security and CO2 mitigation problems. To improve efficiency of energy conversion from solar radiation to electricity, this article changes conventional horizontal heat collector and proposes a partial inclined and convergent collector for SCPP. Utilizing k – ε turbulence model and computational fluid dynamics (CFD) method, this article implemented a series of numerical simulations to explore the thermodynamic characteristics of airflow in SCPP and power generation efficiency in a way of changing value of design parameters, such as collector convergent angle, slope length and collector radius. The results reveal that, increasing these parameters will decrease airflow pressure, increase airflow velocity and temperature around the chimney base, hence will improve power generation efficiency. Comparing the enhanced convergent collector with conventional horizontal one, the former can improve SCPP performance and energy transformation efficiency.
A Research on Electric Inertia Simulation Technology Based on AC Induction Motor
Authors: Li Bo , Wang Weina 
Published: November 2019

Abstract
In order to study the application of AC induction motor in electrical inertia simulation system, a simulation model of electrical inertia simulation system was established by MATLAB/Simulink. The closed-loop vector control strategy of the drive motor and load motor torque of the system is proposed after analyzing the theory of electrical inertia simulation. The angular acceleration of the system during acceleration and deceleration is obtained by approximation based on the system rotation speed measured. Thus, the automatic compensation of the inertia torque of the load motor is realized. A mechanical inertia disk was simulated. According to the results of the simulation, the speed error of the electric inertia simulation system is within 15 r/min, which indicates that this method can realize accurate inertia simulation.
Joint optimal dispatch of electric vehicles and air conditioning loads in office buildings based on demand response
Authors: Yang Jie , Zhang Ruiping , Dong Haiying 
Published: November 2019

Abstract
Centralized use of air conditioning loads and the disordered charging and discharging of large-scale electric vehicles in cities have become the important reason for peak-valley difference increase of grid load in summer, deepening the contradiction between supply and demand during the peak period. Therefore, it is of great significance to improve power grid load characteristic and realize stable and economic operation of power grid by excavating peak shaving potential of large-scale air conditioning loads and electric vehicles. Taking into account the dispatching cost of power grid companies and the benefits of power users, a joint optimal dispatching model of electric vehicle and air-conditioning load is proposed. The power grid provided a low price compensation for loads and a high price compensation for EVs due to its battery loses. The objective function is optimized with the minimum load difference rate of office buildings and the maximum total revenue of users. Analysis of calculation example shows that air conditioning load and electric vehicle have complementary characteristics in energy use, and the joint optimal dispatching has certain effect on office building "peak load reduction", eliminating "secondary peak load" and improving electricity user income.
Computing weighted value of the fast linear iterations distributed consensus algorithm based on label propagation algorithm
Authors: Huanxin Peng , Bin Liu 
Published: November 2019

Abstract
In order to accelerate the convergence rate of distributed consensus under complex topology, the fast linear iterations distributed consensus algorithm was proposed by Xiao L. the fast linear iterations distributed consensus algorithm improved dramatically the convergence rate of the distributed consensus problem, but computing the weighted value was difficult, and the computing volume geometrically increased with the expansion of the communication topology. In the paper, the weighted value of every node was computed based on label propagation algorithm. In the paper, firstly, the complex network was divided into a few communities by the label propagation algorithm, the nodes between different community were weighted. The analysis and simulation of computing volume and the convergence speed were done. The computing volume of the proposed method was smaller than that of the fast linear iterations distributed consensus algorithm.
Weighted distributed consensus algorithm based on label propagation algorithm
Authors: Huanxin Peng , Bin Liu 
Published: November 2019

Abstract
In the practical application of multi-agent system, the convergence rate of the distributed consensus algorithm becomes slow with the expansion of the communication topology. In order to accelerate the convergence rate of distributed consensus under complex topology, in the paper, based on the fast linear iterations distributed consensus algorithm, a weighted distributed consensus algorithm based on label propagation algorithm was proposed. In the algorithm, firstly based on label propagation algorithm, the complex topology was composed into two layer of topologies, in the first layer of topology, the information was exchange each other within the same community, in the second layer of topology, the information was exchange within the different communities . The consensus firstly was reached in the first layer of topology, then the consensus was reached in the second of layer topology. The analysis and simulation of the convergence performance and the convergence speed were done. The results show that the average consensus can be reached in the weighted distributed consensus, and the convergence rate of the proposed algorithm was higher than that of the fast linear iterations distributed consensus algorithm.
Accelerating the convergence rate of distributed consensus algorithm based on label propagation algorithm
Authors: Bin Liu , Huanxin Peng 
Published: November 2019

Abstract
In order to accelerate the convergence rate of distributed consensus problem under complex topology, in the paper, the distributed consensus algorithm based label propagation algorithm was proposed. Firstly, we composed the complex topology into two layer of topologies by label propagation algorithm, the first layer of topology was consist of a few small communities, and every small community was considered as a node of the second layer of topology. The consensus firstly was reached in the first layer topology, then the consensus was reached in the second layer topology. In the paper, the convergence performance of the algorithm was proved. The analysis and simulation on convergence rate were done, the results show the convergence rate of the algorithm was higher than that of the usually first-order distributed consensus algorithm.