bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Temperature Control of Coke Oven on Life Cycle of Refractories
Authors: Fang Hongming , Qu Likai , Wang Shijie , Han Jun , Wu Xiaoxiong , Cheng Xin , Zhang Lei , Che Peilin , Hu Anni 
Published: November 2021

Abstract
Different stages of the oven drying are analyzed by the theory of molecular diffusion and crystal change in oven drying process. It’s pointed that in order to ensure uniform expansion and gray seam integrity, the speed of spreading to the outside about within water should be in accordance with the speed of evaporation about surface moisture in the drying period, heating up too quickly will easily lead to extending drying period and destroying masonry rigor. The expansion of silica brick is mainly from the volume effect form with the transition between the allotrope in the expansion period, the heating rate of crystal transformation point must be strictly controlled. At the same time, quartz content should be higher, lesser residual quartz content will be better. The hot state engineering period is consistent with the construction schedule, the construction sequence can’t be reversed, and it is not recommended at this stage to extend the construction period. Effective control of the heating rate of the three stages above lays a solid foundation to extend the oven life.
Force Analysis of Logging Cable in Deep Well
Authors: Zhang Wenzhe , Feng Jiajia , Gao Shan , Wang Zhongzheng , Cheng Jiarui 
Published: November 2021

AbstractWith the increase of deep wells, high temperature and high pressure wells and complex wells, the demand for logging is also increasing. Wireline logging is an important technical means to obtain downhole data in the process of petroleum testing. This paper establishes a cable mechanics model by analyzing the main influencing factors of the cable force in the inclined well section or the vertical well section. Calculate the lifting power of the tool. Through logging calculation, the force change law of the downhole cable and tool string is obtained when the wellhead pressure changes.
Estimation of False Data Injection Attacks for Load Frequency Control Systems
Authors: Ye Jun 
Published: November 2021

Abstract
False data injection attacks (FDIAs) against the load frequency control (LFC) system can lead to unstable operation of power systems. In this paper, the estimation problem of the FDIAs for the LFC system in the presence of external disturbances is investigated. The LFC system model under FDIAs against frequency and tie-line power measurements is established. Then an attack estimation scheme combining the attack observer (AO) and technique is proposed to minimize the effect of external disturbance on estimation errors. The uniform boundedness of the state and attack estimation errors is proved using Lyapunov stability theory. Finally, a two-area interconnected power system is simulated to demonstrate the effectiveness of the proposed attack estimation algorithms.
Fracture Failure Analysis of the Energy Storage Spring of the Circuit Breaker in the 110kV Substation
Authors: Wang Jun , Huang Rong , Hu Haiqing , Cao Xianhui , Chen Junjun , Feng Chao , Liu Weike , Hu Yujing 
Published: November 2021

Abstract
Through a macro inspection, chemical composition analysis, hardness inspection, graphite carbon inspection and energy spectrum analysis, the reason for the break of the energy storage spring of the circuit breaker in a 110kV substation are analyzed. The results show that poor manufacturing technology and anti-corrosion technology of the spring are the main reason for its fracture. Corresponding control measures are put forward to avoid similar failures from happening again.
Off-line Parameter Identification of Permanent Magnet Synchronous Motor
Authors: Chen Ying , Chen Dongdong , Li Zongwei , Lei Hongdan , Zhu Hongguan 
Published: November 2021

Abstract
This paper first explains the necessity of off-line parameter identification of permanent magnet synchronous motors, and then introduces the identification methods and principles of the stator resistance, stator d/q axis inductance and back-EMF coefficient of permanent magnet synchronous motors. An identification method of stator d/q axis inductance injected with high frequency voltage is proposed. Finally, based on the MBD development model, the proposed identification method is modeled by Matlab/Simulink and the code is generated for experiments. The results verified the accuracy and feasibility of the proposed method well.
Silicon rubber/expandable microsphere based triboelectric nanogenerator for harvesting biomechanical energy
Authors: Lv Shasha , Huang Tao , Yu Hao 
Published: November 2021

Abstract
Triboelectric nanogenerator (TENG) is favorable for harvesting adaptable and complex biomechanical energy in our daily life. Here, silicon rubber/expandable microsphere TENG was achieved by spin-coating a mixture of expandable microspheres and silicon rubber on a flat plate with conductive fabric. Furthermore, self-made flexible TPU/MWCNTs electrodes replaced commercial conductive fabric to make TENG more adapt to skin of human body. Finally, the optimized TENG in this work demonstrates energy harvesting capabilities and can be applied in self-powered sensor systems and provides new dimensions for biomechanical energy harvesters and wearable self-powered electronics.
Fracture Failure Analysis of the Connecting Bolt of Circuit Breaker in 500kV Converter Station
Authors: Wang Jun , Cao Xianhui , Huang Rong , Hu Yujing , Liu Weike , Chen Junjun , Feng Chao 
Published: November 2021

Abstract
Through a macroscopic inspection, a stereomicroscopic inspection, a material analysis, a hardness inspection, a metallographic analysis, scanning electron microscope and energy spectrum analysis, the reasons for the breakage of the connecting bolts of the circuit breaker in a 500kV converter station are studied. The results show that the bolt fracture is caused by the combined effect of a hydrogen embrittlement and a high-stress low-cycle fatigue. The corresponding recommended measures are proposed to improve the reliability of the bolts and ensure the safe operation of the circuit breaker.
Research on application of mine transient electromagnetic method in detecting collapse column
Authors: Du Hailong , Li Wen , An Jinsong , Zhang Lin , Zhao Weiye , Liu Qinghua , Dou Wenwu , Lian Yuguang , Cui Jinliang , Wang Guoku , Chen Jianqiang , Ma Zhicha 
Published: November 2021

Abstract
The transient electromagnetic detection has been widely applied to mine roadway excavation engineering. In order to figure out the front geological conditions of roadway excavation, the application of mine transient electromagnetic method (TEM) in detecting collapse column was conducted in this paper by taking the TEM-based advanced detection of 53152 working face in a mine located in Jincheng, Shanxi Province as an example. The results showed that if TEM is applied, geological structures like water-free collapse column could be largely delineated. Besides, by combining the interference source of detection environment and related geological data nearby the detection site, ‘false abnormalities’ could be effectively eliminated, thus providing the reference basis for the water prevention and control work of mines.
The Design of Parameter Modeling Software Applicable for Turbine Control Systems of Power Units Operated at Deep Shaving States
Authors: Zhu Longfei , Si Paiyou , Liu Shuangbai , Xie ChangYa , Zhang Teng , Hu Yuou , Qiu Xiaozhi 
Published: November 2021

Abstract
Against the backdrop of achieving the “dual carbon” reduction goals, the proportion of renewable energy consumption in China is gradually increasing, and more and more thermal power units are gradually being operated at the deep peak shaving states, which puts forward higher requirements for stable operation of the power grid system. In view of the current situation, this paper designs a new type of Python-based parameter modeling software for turbine control systems, including the load selection module, data pre-processing module, parameter identification module, and result output module. To solve the problem that the primary frequency regulation parameters of the units operated at the deep peak shaving states change with the load, the software is designed to set key model parameters of different load segments of the units. The actual measurement results of a unit operated at the deep peak shaving state show that this developed software is convenient and friendly to operate, creates accurate parameter identification results, and has a wider range of applicability.
Experimental analysis of zero-natural-frequency damper for transmission line large cross project based on NES
Authors: Zhao Bin , Si Jiajun , Zhang Zhao , Han Jingshan 
Published: November 2021

Abstract
The operation experience of transmission line large cross project shows that the traditional anti-aeolian-vibration devices had poor adaptability to complex terrain and micro meteorological conditions, and they were difficult to meet the application requirements of super large cross project at this stage. A zero-natural-frequency damper was designed by introducing nonlinear energy sink in this paper, and the solid prototypes were processed. According to the actual design parameters of conductor using in a large cross project, the anti-vibration effect was tested by using the indoor simulation test span. The test results showed that the anti-vibration effect of the scheme based on the zero-natural-frequency damper could meet the needs of practical engineering. The installation of this damper could improve conductors’ and fittings’ adaptability to complex terrain and enhance the wind and anti-vibration ability of transmission line.
Inside-wind-farm/Wind-farm-grid sub-synchronous oscillation characteristics analysis in grid-connected system of multiple DFIGs
Authors: Sun Mengxue , Gao Ruixin , Ji Yuhui , Long Xin , Yao Changzhi , Wu Fan 
Published: November 2021

Abstract
Aiming at the sub-synchronous oscillation (SSO) problem of the grid-connected system of multiple DFIGs, most of the existing theoretical studies take the entire wind farm as a single-machine model, the stand-alone model cannot reflect the inside-wind-farm oscillation mode produced by the interactions among DFIGs in the wind farm. Therefore, this paper takes the equivalent value of DFIG-based wind farm to three DFIGs, establishes a mathematical model of the grid-connected system of three DFIGs, and studies the sub-synchronous oscillation modes existing in the system through eigenvalue analysis and participation factor analysis. The results show: When the length of transmission line increases, the oscillation frequency of the inside-wind-farm/wind-farm-grid sub-synchronous oscillation mode increases, the damping decreases and the stability weakens; when the number of grid-connected DFIGs increases, the oscillation frequency of the inside-wind-farm/wind-farm-grid sub-synchronous oscillation mode decreases, the damping increases and the stability enhances. Finally, a time-domain simulation model of the grid-connected system of multiple DFIGs was built in PSCAD/EMTDC to verify the correctness of the theoretical analysis results.
Design of Maximum Power Tracking System for Photovoltaic Power Generation
Authors: Liu Yuewen 
Published: November 2021

Abstract
Solar power generation is related to climatic conditions, and its high cost and low power generation efficiency have become the main factors restricting its development. Realizing the maximum power tracking of solar photovoltaic power generation through power electronic technology and control technology is an effective measure to increase the power generation of photovoltaic power generation systems, reduce power generation costs, improve solar energy conversion efficiency, and widely promote photovoltaic power generation technology. According to the illumination characteristics of solar cells, using a single-chip microcomputer to control the DC-DC converter and conductance increment method as the control algorithm, a solar maximum power tracking system is designed.
Preparation and electrochemical properties of MXene based conductive composites for food contamination detection
Authors: Zhang Xiang , Gu Yu 
Published: November 2021

Abstract
MXene has unique intercalation structure, excellent interlayer spacing and excellent biocompatibility. It is considered as an excellent nano material carrier and can be used as a good adsorbent in the detection of food pollutants. In this study, a large number of experimental materials and reagents were selected to prepare Co3O4 / MXene composites by in-situ growth of Co3O4 nanoparticles on MXene support by impregnation pyrolysis. The composite retained the original accordion like intercalation structure. The size and number of Co3O4 particles on the surface of MXene and in the intercalation increased with the increase of loading, showing regular order. The prepared composite has abundant lithium intercalation active sites, fast electron and ion transport channels, good rate performance and energy density at high current density, showing excellent electrochemical performance.
Degradation Effect of UV Synergistic Biomass Activated Carbon Materials on Phenol Pollutants in Water
Authors: Zhang Qi 
Published: November 2021

Abstract
The purpose of the study is to purify the water containing phenol pollutants. The degradation effect of phenol pollutants in water is studied through the combined action of UV and biomass-activated carbon. First, the phenol solution is prepared in the laboratory to simulate the polluted water. Second, the phenol adsorption effects of UV synergistic biomass activated carbon, biomass activated carbon and ordinary industrial activated carbon under different influencing factors are compared by experiments. Finally, the results are analyzed and the conclusions are drawn. The results show that the UV synergistic biomass activated carbon has the strongest degradation ability for phenol, and the highest removal rate is 66.5% when the shaking time is 65 minutes. The adsorption ability of the industrial activated carbon for phenol is the worst. When the initial concentration of phenol is 25mg/L, the maximum phenol removal rate is 96.8%. The maximum phenol removal rate of biomass activa ted carbon appears in the initial concentration of phenol and the phenol removal rate is 60 mg/L. The reaction temperature has little effect on the phenol removal rate of UV synergistic biomass activated carbon and biomass activated carbon. The phenol removal ability of UV synergistic biomass activated carbon and biomass activated carbon reaches the highest when the dosage of activated carbon is 2.0 g, and the rates are 96.4% and 91.1%, respectively. When the pH of the solution is 7, the removal rate of UV synergistic biomass activated carbon reaches a maximum of 97%. When the pH of the solution is 6, the removal rate of biomass-activated carbon reaches the maximum. When the pH of the ordinary industrial activated carbon is 7, the removal rate is the maximum. Due to different influencing factors, UV synergistic biomass activated carbon has the strongest phenol degradation ability. This study provides a reference for the purification of polluted water.
Ultrasonic enhanced water washing method for extracting sodium fluoride from spent pot lining
Authors: Qi Yongrong , Gong Yuan , Wang Haibin , Peng Li , Fan Liting , Li Chunlei 
Published: November 2021

Abstract
A large amount of spent pot lining (SPL) is produced by cryolite-alumina melting electrolysis process, and the fluoride content in the leaching solution is up to 6000 mg/L, which belongs to hazardous waste. If SPL is not handled effectively, it will cause great harm to the environment. Because the NaF rich in SPL is an important raw material for the synthesis of cryolite by carbonation, this paper uses SPL as the raw material to extract NaF. On the basis of exploring the process conditions of water washing leaching NaF, ultrasonic wave was introduced to enhance mass transfer and the effects of ultrasonic cavitation on water washing process was compared. The results show that ultrasonic waves can effectively shorten the time for water washing to reach equilibrium and further improve the efficiency of NaF leaching. Under the optimal process conditions determined by the experiment, when the ultrasonic power is 400 W, the time for washing to reach equilibrium is shortened from 50 min to 40 min, and the NaF leaching efficiency is increased from 67.25 % to 70.42 %. While improving the leaching efficiency, the water consumption is effectively reduced, and the purity of the recovered product NaF is 96.82 %. This research provides a technical reference for the harmless and low cost leaching of NaF from SPL in the aluminium electrolysis industry.
Design of ultrafine silicon structure for lithium battery and research progress of silicon-carbon composite negative electrode materials
Authors: Zhang Baoguo , Tong Ling , Wu Lin , Yang Xiaoyu , Liao Zhiyuan , Chen Ao , Zhou Yilai , Liu Ying , Hu Ya 
Published: November 2021

Abstract
As demand for high-performance electric vehicles, portable electronic equipment, and energy storage devices increases rapidly, the development of lithium-ion batteries with higher specific capacity and rate performance has become more and more urgent. As the main body of lithium storage, negative electrode materials have become the key to improving the performance of lithium batteries. The high specific capacity and low lithium insertion potential of silicon materials make them the best choice to replace traditional graphite negative electrodes. Pure silicon negative electrodes have huge volume expansion effects and SEI membranes (solid electrolyte interface) are easily damaged. Therefore, researchers have improved the performance of negative electrode materials through silicon-carbon composites. This article introduces the current design ideas of ultra-fine silicon structure for lithium batteries and the method of compounding with carbon materials, and reviews the research progress of the performance of silicon-carbon composite negative electrode materials. Ultra-fine silicon materials include disorderly dispersed ultra-fine silicon particles such as porous structures, hollow structures, and core-shell structures; and ordered ultra-fine silicon, such as silicon nanowire arrays, silicon nanotube arrays, and interconnected silicon nano-films. The article analyzes and compares the composite method of ultrafine silicon and carbon materials with different structural designs, and the effect of composite negative electrode materials on the specific capacity and cycle performance of the battery. Finally, the research direction of silicon-carbon composite negative electrode materials is prospected.
Estimation of health status of lithium-ion battery based on PF-SA
Authors: Li Jianlin , Wang Zhe , Ma Suliang 
Published: November 2021

Abstract
The aging of lithium-ion batteries is a gradual process, which can usually be expressed by the state of health (SOH). Effective estimation of its SOH is helpful to reduce the probability of fire, fire and other dangerous accidents. In this paper, particle filter (PF) is used to predict the health of the battery, and then the simulated annealing algorithm (SA) is used to optimize the PF to realize the prediction of battery SOH.
Construction of dibutyl phthalate molecularly imprinted electrochemical sensor based on multi-walled carbon nanotubes-modified boron-doped diamond electrode
Authors: Wu Xiaoqiong , Jia Fan , Fu Zhixian 
Published: November 2021

Abstract
In order to construct a dibutyl phthalate (DBP) molecularly imprinted electrochemical sensor, the DBP was used as the template molecule, due to the characteristics of multi-walled carbon nanotubes (MWCNTs) loaded with nano-gold to enhance the electrical conductivity of the composite material, a molecularly imprinted film was prepared on the surface of boron-doped diamond electrode (BDD) by potential deposition. The morphology of the composite material MIP/AuNPs/MWCNTs/BDD was analyzed and characterized by scanning electron microscopy (SEM), and the performance of the electrochemical sensor was characterized by cyclic voltammetry (CV), and differential pulse voltammetry (DPV) was used to detect DBP. The electrochemical sensor had a linear range of 1×10-8 ~ 1×10-5 mol/L and a detection limit of 3.3×10 -9 mol/L. The sensor was applied to the detection of DBP in water samples.
In-situ preparation of hierarchical Beta zeolite by steam- assisted crystallization method using meso-macroporous silica
Authors: Kong Delong , Li Hansheng , Liu XiaoBo , Xu Chunxiao , Ding Chen , Wang Wei , Shi Jiawei 
Published: November 2021

Abstract
In this paper, a series of meso-macroporous silica (MMS) were prepared by phase separation, then mic-meso-macroporous Beta zeolite was prepared by steam-assisted crystallization (SAC) method using the meso-macroporous silica as substrate. The factors such as the amount of water, crystallization time, aluminum source, amount of template agent during the SAC method were investigated. Various characterization methods such as BET, XRD, SEM were used to investigate the physical and chemical properties of the prepared materials. The results showed that the meso-macroporous silica could be transformed into Beta zeolite through the SAC method while the macroporous structure was still maintained.
Research on Hyperspectral Inversion of Soil Alkaline Hydrolysis Nitrogen Content and pH Value Based on DWD
Authors: Liu Sijia , Xiao Zhiyun 
Published: November 2021

Abstract
Aiming at the shortcomings of traditional methods for detecting the content of Alkaline Hydrolysis Nitrogen (AHN) and pH value in soil, such as time-consuming and labor-consuming, this paper proposes a rapid quantitative inversion method based on hyperspectral analysis of AHN content and pH value. This method uses db4 discrete wavelet denoising (DWD) and wavelet denoising normalization (DWD-N) to carry out Pearson correlation analysis, and two methods, Ridge regression and Partial Least Squares Regression (PLSR), were used to compare the accuracy of hyperspectral inversion of soil AHN content and pH value. Experiments have demonstrated that in the inversion of the AHN content prediction model, Ridge regression has a good modeling effect under the DWD-N model, where R2=0.647, RMSE=7.067mg/kg. PLSR has good prediction effect under DWD-N, where R2 is the highest of 0.792, RMSE is 3.438mg/kg; in the model inversion of pH prediction, the full-band PLSR modeling effect of pH value under DWD pretreatment is the best, which modeling set and the prediction set of R2 is 0.826 and 0.875, the RMSE is 0.217 mg/kg and 0.191 mg/kg respectively.
Underwater Acoustic Covert Communication Based on Compressed Sensing
Authors: Li Qiyun , Zhou Chunyan , Cao Hao 
Published: November 2021

Abstract
Compressed sensing technology is currently a relatively mature channel estimation technology, and the sparsity of the underwater acoustic channel provides a basis for the application of compressed sensing technology to the underwater acoustic channel. Channel estimation is one of the most commonly used signal reconstruction methods. The signal is reconstructed based on compressed sensing technology to improve the reliability of signal transmission. The key to compressed sensing technology is the SL0 algorithm. Based on the SL0 algorithm, a new objective function is proposed to better approximate the L0 norm. In a very short time, the original signal can be reconstructed accurately and the signal transmission is improved. Finally a simulation experiment is used to compare the proposed objective function with the previously proposed objective function, which proves that the performance of the proposed objective function is better.