bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of an integrated CO2 methanation system with CO2 capture from flue gas and H2 production from water electrolysis
Authors: Ye Jichao , Zhang Hanbing , Hu Xinwei , Zhang Lei , Wang Lina , Wang Hong , Li Wenying , Wu Kejing 
Published: March 2023

Abstract
As one of the important Power to X technologies, CO2 methanation realizes the storage of green hydrogen and the emission reduction of flue gas CO2. In this study, process modeling was applied for CO2 methanation coupled with CO2 capture and water electrolysis. Aspen Plus and HYSYS models of 400 kW water electrolysis were set up for integration. The heat exchange network and the reaction temperature and catalyst usage of two methanation reactors are optimized. The effects of step-wise evolution of H2 flow on stream flows and reactors are also studied. The results show a system energy efficiency of 42.3% using a high-temperature solid oxide electrolysis cell (SOEC) and 30% monoethanolamide solution (MEA). The heat-exchange network significantly improves the efficiency to 61.5%. Optimizing two-stage methanation reactors realizes 98% CO2 conversion at 10018 h-1 gas hourly space velocity. The optimized reaction temperatures are 390 and 325 °C, respectively. The Aspen HYSYS dynamic modeling shows that the flows reach stability within 10 min under 1 kmol/h step-wise evolution of H2 flow. Longer time is required to approach the stability of the methanation reactor. Sharp evolutions of H2 flow cause higher amplitudes and a longer time to reach stability. The H2 flow lower than 35% of the initial value would result in the unstable behavior of the methanation reactor.
Design of a CNC Incremental Forming Machine with a tiltable structure
Authors: Chen Runhao , Xu Chun 
Published: March 2023

Abstract
In view of the existing incremental forming machine, there is a problem that the tool needs to be replaced when machining parts with different degrees of sidewall concavity. The incremental forming machine with a tiltable cutter was designed, and the feasibility of a cutter tilting structure was discussed. The forming results show that the tiltable structure meets the design requirements.
Research on the Chemical Mechanical Polishing Process of Aluminum Alloy Wafers with Acidic Slurry
Authors: Song Xiaoming , Zhao Shicheng , Zhang Renjie 
Published: March 2023

Abstract
Aluminum alloy has low density, good thermal conductivity, and low resistivity, which has been widely used in the fields of the defense industry, aerospace, and machinery manufacturing. As technology advances, there is a growing demand for high-precision parts and green processing. In this paper, a green chemical mechanical polishing (CMP) slurry for aluminum alloy is developed to optimize the rotational speed and pressure and improve the quality of polished aluminum alloy surface. The influence of CMP slurry composition on the quality of aluminum alloy surface and its mechanism are analyzed. Orthogonal experiments and single-factor experiments are used to investigate the effects of CMP slurry composition and process parameters on the surface quality of polished aluminum alloy. A green chemical mechanical polishing slurry consisting of deionized water, 6 wt.% SiO2, 2 wt.% H2O2, and citric acid to adjust pH=3 was proposed, with the pressure of 24 kPa and rotational speed of 90 r/min. After the CMP of aluminum alloy, surface roughness was reduced from 45.587 nm to 0.876 nm in the scan range of 70 μm × 50 μm. The mechanism was analyzed by X-ray photoelectron spectroscopy (XPS).
Sliding Mode Control of Vehicle Semi-active Suspension System Based on Magnetorheological Damper
Authors: Tang Tianyu , Sha Shujing , Pan Chenhao , Li Hang 
Published: March 2023

Abstract
Given the fact that the passive suspension of the vehicle cannot adapt to the changing road excitation and replace conventional suspension with damping-adjustable semi-active suspension, based on the 1/4 vehicle model, sliding mode controllers are designed for two different error vectors respectively, and the simulation is carried out through Matlab/Simulink. The results show that the semi-active suspension controller can effectively improve the stability and safety of the vehicle when driving.
Design and optimization of a half-wavelength ultrasonic bone scalpel
Authors: Chen Jian , Chen Feng 
Published: March 2023

Abstract
Compared with traditional orthopedic surgical instruments, the ultrasonic bone scalpel (UBS) has obvious advantages in both safety and effectiveness. Based on the structure of the sandwich piezoelectric transducer, a design of half-wavelength UBS with a longitudinal vibration frequency of 22.5 kHz is proposed in this study. Firstly, the dimensions of each component of the UBS are calculated by the transmission matrix method, the initial design is verified by modal analysis, and the error is optimized by the response surface method. Then the harmonic response analysis is used to calculate the UBS’s tip amplitude, impedance and stress distribution. In addition, the influence of bolt pre-tightening force on the vibration characteristics of the UBS is analyzed. When the bolt pre-tightening force is 50-90MPa, the vibration performance of the UBS is stable, and the tip amplitude is large, which provides a reference for selecting appropriate tightening torque when the UBS is assembled. Finally, the bone-cutting experiment shows that the UBS has good cutting performance.
Design of a Shield Tail Clearance Measuring Sensor for a Shield Machine
Authors: Zhou Zheng , Liu Xiaolong , Li Wei , Sun Weiwei 
Published: March 2023

Abstract
To improve the measurement accuracy and judge the distance between shield segments and shield tail accurately, the online monitoring technology of shield tail clearance was studied. Firstly, a sensor that can be used for shield tail clearance measurement was designed, and its key parts were selected. Secondly, the characteristics of the key parts were simulated to verify their feasibility. Finally, the monitoring principle was analyzed
Study of dynamic wedging performance of the multi-shape sprag clutch
Authors: Yu Hao , Zhao Yongqiang , Xue Yuan , Cao Kai , Wu Xuemei 
Published: March 2023

Abstract
The dynamic contact parameters such as contact force, contact stress and rotational speed fluctuate with time during the actual operation of a sprag clutch. To this end, ANSYS LS-DYNA is applied to simulate the dynamics of various types of sprag clutches with different wedge surfaces to obtain the curves of speed, contact force, and windup angle of each component during operation with time. The dynamic wedging performance of the all-phase type and the PCE (positive continuous engagement) type clutch is compared and analyzed, and the effect of the change of contact angle on the dynamic wedging performance of the sprag clutch with logarithmic and Archimedean spirals is investigated, and the dynamic wedging performance of the three types of sprag clutches is compared and analyzed to guide the design of multi-faceted sprag clutches.
Sintering optimization of high nitrogen nickel free austenitic stainless steel prepared by Metal Injection Molding
Authors: Zou Liming , Liu Ruiyang , Su Zaijun , Gao Jixiang , Li Liejun 
Published: March 2023

Abstract
High nitrogen and nickel free austenitic (HNNFA) stainless steel prepared by powder metallurgy has become a research hotspot because of solving nickel precipitation and saving cost. In this paper, metal injection molding (MIM)method was used to prepare such kinds of steel. The effect of sintering parameters such as sintering temperature, holding time, and nitriding pressure on the density, shrinkage rate, and nitrogen content of austenitic stainless steel was systematically evaluated by an orthogonal experiment to obtain the optimum sintering parameters. When the sintering temperature is 1200°C, the holding time is 6 h, and the nitriding pressure is 1100 mbar, the sample possesses a higher density (7.52g/cm3) and nitrogen content (0.76%). The matrix of stainless steel is austenite after nitriding sintering.
Prediction of line heating deformation for sheet based on SSA-ELM algorithm
Authors: Qi Shukang , Zhou Hong-gen , Li Lei 
Published: March 2023

Abstract
Line heating is highly susceptible to plastic deformation leading to structural changes, which seriously affects shipbuilding efficiency. It is extremely important to obtain the precise line heating deformation law. There is much research on plate deformation prediction, but there is still no mature, accurate and fast prediction method. Based on this, it is necessary to research the line heating deformation prediction method. ELM has the advantages of fast learning speed, good generalization performance and strong function approximation ability. To address the poor stability of the regression model due to the randomly generated weights and thresholds of ELM, a combined prediction model (SSA-ELM) based on a squirrel search algorithm (SSA) optimized limit learning machine is proposed. The results show that the relative errors of transverse shrinkage and angular deformation of SSA-ELM are improved by 4.7% and 3.9%. The SSA-ELM prediction model has good regression accuracy and generalization ability. It gives more accurate prediction results in terms of line heating deformation prediction.
A Review of Origami-Based Deployable Structures in Aerospace Engineering
Authors: Yue Songlin 
Published: March 2023

Abstract
Origami is a traditional art form of paper folding that originated in east Asia. In recent decades, the concept of origami has been extensively used to design deployable structures. Due to the strict space and load capacity limitations of the aircraft and spacecraft, the equipment they carried must be deployable and light in weight. The origami-based deployable structures provide the possibility for carrying more aerospace equipment. This paper is an overview of current research on origami-based deployable structures and applications in aerospace engineering, which mainly demonstrates the geometric properties, engineering implementations, advantages, and applications of origami-based deployable structures in aerospace engineering. Some of the latest origami-based space instruments are reviewed to have an insight into their basics and applications.
Bending damage of 3D printing T-beam
Authors: Wu Siyuan , Shan Zhongde , Chen Ken , Zhou Dongming , Liang Wei , Wu Xiaochuan 
Published: March 2023

Abstract
3D printing of continuous fiber reinforced resins offers a new approach of designing and manufacturing composite materials. The study applied 3D printing method to fabricate T-beam structures, and investigated the damage process and damage morphology of T-beams under three-point bending loads. Meanwhile acoustic emission was taken advantage of to study the damage process, and principal component analysis and k-means clustering algorithm was used to analyze the signals and classify the damage. The results indicate that the fabrication of continuous fiber-reinforced T-beams can be achieved by 3D printing, and the presence of rib height can significantly improve the bending load capacity by approximately 400% and reduce the maximum deflection by 51%. The analysis of the acoustic emission data indicates that the T-beam bending damage modes includes matrix cracking, interlayer delamination, fiber and resin debonding, fiber cracking and fiber fracture, and the classification results can well explain the bending damage process of the T-beam.
Forecasting method for sources and loads in virtual power plant considering uncertainties of multiple sources and loads
Authors: Chen Chen , Xue Guiyuan , Tan Jian , Niu Wenjuan , Zhu Xiaojun 
Published: March 2023

Abstract
Because of to the lack of primary energy and the deteriorating global environment, the key to getting rid of the existing difficulties is the development of clean and pollution-free new energy. On the one hand, to reduce the use of fossil energy, and on the other hand, to reduce emissions of polluting gases. So with the development of technology, more and more distributed power and load began to access the virtual power plant. This paper introduces PV and EVs(EVs) from the perspective of new energy applications and expounds on the background and significance of load forecasting and output power prediction. This paper introduces a variety of load prediction methods. Finally, Monte Carlo simulation is used to predict the EVs’ charging load, and BP neural network is used to build a photovoltaic power forecasting model. Based on the MATLAB R2017a simulation platform, this paper analyzes the EVs’ travel features in Beijing and takes the historical data and meteorological information of a photovoltaic power plant in Australia as an instance to analyze the influencing factors of PV.
Electric Vehicle Charging Load Demand Forecasting Model based on Spatial and Temporal Characteristics
Authors: Zhou Xiang , Zhang Ke , Jia Xing , Fan Juanjuan 
Published: March 2023

Abstract
This paper proposes a method to predict the charging load demand of electric vehicles considering the spatial and temporal distribution characteristics of users’ travel. Based on the central limit theorem and travel chain theory, the temporal distribution of the charging load of different functional sites is simulated by the Monte Carlo method and calculated by combining NHTS2017 data to find the total daily charging load of electric private vehicles. The results show that in the case of disorderly charging, the charging loads of different areas have more obvious temporal characteristics, and the charging service can be optimized according to this charging load characteristic.
Research on Harmonic Transfer Characteristics of Capacitive Voltage Transformer and Design of Testing Device
Authors: Li Guoxin , Chen Lingxiao , Zhang Jiarong , Wang Di 
Published: March 2023

Abstract
Capacitive voltage transformers (CVTs), as the main voltage detection devices in the power grid, can accurately measure power frequency voltage, but CVT’s measurement of harmonic voltage will pass errors, resulting in CVT cannot accurately monitor the harmonic voltage in the power grid. Based on the current status of CVT, this paper studies the structure of CVT and the harmonic voltage transfer characteristics of CVT, and analyzes the frequency characteristic curve of CVT by using MATLAB simulation. Based on the study of the CVT frequency characteristic curve, this paper proposes a method of series voltage divider capacitor C3 at the ground terminal of CVT low voltage capacitance to indirectly measure the harmonic voltage on the primary side of CVT and verifies the accuracy of this method. Finally, this paper presents a preliminary design scheme for the series capacitor voltage division method.
Research on Electric Boiler Auxiliary Thermal Power Unit Operation in Isolated Grid
Authors: Si Ruicai , Wang Songhan , Li Xiucheng , Dou Zhongzhou , Sun Bo , Li Jia 
Published: March 2023

Abstract
An electric boiler is widely used in the research and application of thermal power flexibility transformation because of its fast regulation and strong energy storage capacity. However, as an electrical load with high flexibility, the value of isolated operation of auxiliary units in case of grid line failures has not been fully recognized. This paper studies the unit load balance system, unit isolated network operation decision-making, unit load switching, steam turbine control, and boiler control of live boiler operation, so as to realize the control function of an electric boiler assisting the isolated network operation of the thermal power unit, ensure that the unit can stably turn into the isolated network operation state in case of grid failure, and effectively ensure the heating of residents and the rapid restoration of grid power supply.
Research on Improved PSO Algorithm for Multi-peak to Photovoltaic Maximum Power Tracking Control
Authors: Xue Ruonan , Yang Bing , Liu Dejun , Song Chao 
Published: March 2023

Abstract
To ensure the real-time output maximum power of a photovoltaic power producing system and improve the multi-peak MPPT management of a solar array under partial shadow, a maximum power tracking control strategy based on an Improved PSO algorithm is presented. To increase the stability of maximum power tracking and to promote the coordination performance of local development and global search, the adaptive inertia weight and learning factor are developed regarding the basic PSO algorithm. Besides, simulation studies are used to evaluate the MPPT control effects of the method with the fundamental PSO algorithm in various situations. The findings show that the improved PSO algorithm outperforms the traditional PSO technique in terms of tracking effectiveness. It can not only converge to the GMPP quickly in the case of various local shading and light mutations but also has higher power generation efficiency.
A Power Balanced Control Model for Energy Storage Integration with Distribution Network
Authors: Huo Chen , Wang Zhe , Chen Weiwei , Lei Mingyu , Wang Yibo 
Published: March 2023

Abstract
The integration of an Energy Storage System (ESS) is difficult to commercialize within the current Chinese market mainly because of the lacking of supporting policy and breakthrough technologies. However, it is considered an appropriate approach in a certain circumstance, for instance, in a remote rural area. This work presents a power-balanced ESS integration model and its control method. By using a rural distributed network in southern China, the results show that the proposed model is able to improve the three-phase power imbalance issue.
A Novel DC Transmission and Distribution System with 100% New Energy Consumption
Authors: Zhou Jinghua , Meng Xiangfei , Wang Hancheng , Chen Yaai 
Published: March 2023

Abstract
With the continuous development of new energy technology and the continuous improvement of people’s green and low-carbon awareness, distributed photovoltaic, wind power, and other new energy are more and more widely used. On the other hand, the development of new industries, such as electric vehicle charging stations and data centers, has increased the DC load significantly, showing the characteristics of the coexistence of AC and DC user loads. Therefore, it is of great practical significance to study how to effectively utilize new energy and realize the direct power supply of AC and DC loads to achieve the dual carbon goal. Combined with the development trend of new energy and DC transmission, this paper proposes a ±10 kV DC transmission and distribution architecture with 100% new energy consumption, which can realize the complete local consumption of new energy and reliable power supply for diversified AC and DC loads, maximizing the reduction of power loss caused by AC-DC conversion. This paper discusses the key devices and key technologies in the above architecture and analyzes the advantages and disadvantages and application scope of various methods in the current research results.
Collaborative decision-making of multi-source heterogeneous sensing data for smart power IoT
Authors: Leng Zhenglong , Zhou Zhaozheng , Li Cui 
Published: March 2023

Abstract
The current multi-source heterogeneous sensing data collaborative decision-making method based on machine learning achieves the fusion of sensing data through data sensing technology, which leads to the poor comprehensive collaborative performance of the model due to the low data processing accuracy. In this regard, multi-source heterogeneous sensing data collaborative decision-making for smart power IoT is proposed. A data reliability analysis framework is established to analyze the unstable factors affecting the fluctuation of sensing data, and the data is slimmed down. And the feature vectors of the sensed data are extracted to establish the data collaborative decision-making model. In the experiments, the comprehensive collaborative performance of the proposed method is verified. The analysis of the experimental results shows that the collaborative decision model of sensing data constructed by the proposed method has a high level of comprehensive evaluation and its collaborative decision performance is high.
Research on the Estimation Method of Energy Consumption and Carbon Emission Based on Key Characteristic Data
Authors: Liu Bailiang , Wang Weiyuan , Liu Yujun , Zhang Weijian , Liu Haixuan 
Published: March 2023

Abstract
Peak carbon dioxide emissions and carbon neutrality are the two goals that China will adopt the most powerful policies and measures to achieve. Jiangsu, as an important developed economic province, is one of the indispensable parts of carbon neutrality. This paper proposes an estimation method that can be used for forecasting the GDP growth rate, electricity consumption, and carbon emissions. The results show that Jiangsu Province will achieve peak carbon dioxide emissions by the year 2030, which can make outstanding contributions to China’s carbon peaking goal.
An adaptive Distance Protection for Distribution Network With Inverter-Interfaced Distributed Generation
Authors: Zheng Xiaoling , Liu Yifang , Tian Yao , Li Jintao , Yang Qing 
Published: March 2023

Abstract
Inverter-Interfaced Distributed Generation (IIDG) accessed to the high-voltage distribution network may cause protective device tripping missing when using regular distance protection. In case of non-metallic faults, the generation of additional impedance may lead to faulty action of the distance protection, which threatens the safety and stability of the distribution network. Therefore, an adaptive distance protection plan is suggested, which corrects the measured impedance according to the diagram, thus the corrected measured impedance can track the fault impedance. The suggested plan is insensitive to the fault resistance, fault locations and IIDG’s output. The simulation results indicate that the suggested plan can reflect the fault impedance correctly, and accurately identify internal and external faults.
An Improved Slow Coherent Groups Recognition Method for Dynamic Equivalence of Large Power System
Authors: Su Yinsheng , Huang Guanbiao , Zhao Ligang , Yao Haicheng , Xu Yuan , Li Bao , Zhou Tinghui , Gao Qin , Zhen Hongyue 
Published: March 2023

AbstractThe slow coherent groups recognition method is one of the dynamic equivalence techniques, which is based on the singular perturbation principle. Its algorithm performance is widely recognized. In order to reduce the solving difficulty and time consuming, this method ignores the generator stator damping effect. But during a fault, the generator stator damping effect directly affects the oscillation amplitude and frequency of the rotor angular curve. If the damping characteristics of the original system are ignored, when the damping torque coefficients of each generator vary greatly, the coherence between generators will be affected, and the accuracy of the simplified equivalent system will inevitably decrease. This paper proposes a new method based on the traditional slow coherent groups’ recognition method. The new method, which is based on the second-order model of the generator, can consider the generator stator damping effect without increasing the algorithm complexity. The active and reactive power of the system are decoupled. The eigenvalues of the system model and the general solution of the second-order differential equations are obtained through rigorous derivation. It also proposes a two-scale coherent groups recognition criterion. Finally, the effectiveness of the new method is verified based on the IEEE-39-Bus system.