bluuebunny/crossref_metadata_2025_split huggingface dataset:
Force Analysis and Optimization of BSC Brake Pedal Based on ANSYS
Authors: Wang Shuheng , Liu Xueyuan , Chen Wengang , Tang Jie , Liu Qiping , Ning Taiyu , Yao Haibing 
Published: February 2022

Abstract
In the BSC rules of the Chinese Society of Automotive Engineering, it is stipulated that the brake pedal should be designed to withstand a maximum brake pedal force of 450 LBF (2000 N). In order to ensure that the pedal design conforms to the rules of the event, it is necessary to use ANSYS finite element analysis software to conduct force analysis on the pedal design to ensure that it meets both the rules of the event and the safety design as well as the lightweight design. Therefore, through the finite element analysis of the pedal model in ANSYS environment, the structural stress and deformation data under the pedal force were obtained, and according to the stress and deformation cloud map, the pedal structure was optimized and the optimal material was selected, so as to obtain the brake pedal with high comprehensive performance and meet the competition rules.
The mechanism investigation into the wall perforation of a novel filter vacuum container
Authors: Liu Yi , Huang Yanli 
Published: February 2022

Abstract
Upon the observation, small patches near the bottom of the vacuum container are found perforated in some situations, which severely affect the work efficiency and safety of the system. To investigate the mechanism of the damaging perforation, in this paper, a numerical method based on Fluent software is implemented to simulate wall shear stresses of the vacuum container. It is shown that the numerical method implemented accurately captures the flow pattern and the wall shear force distributions during the operation of the vacuum container. With such a simulation approach, the area prone to perforation can be effectively yet clearly identified and predicted. The wall shear stresses of the vacuum container are closely correlated with the inlet velocity. It is demonstrated that the wall shear stresses of the vacuum container tends to increase in magnitude with the increase of the inlet velocity.
Mechanical Simulation Analysis of Aerospace High Reliability Electronic Equipment
Authors: Jiang Shang , Liu Hongjin , Gu Zucheng , Liu Qun 
Published: February 2022

Abstract
In order to meet the requirements of high reliability, the structural performance of aerospace electronic equipment must meet the requirements of long-term stable work under severe mechanical conditions. The finite element model of electronic equipment from structural frame to printed circuit board and important components is established in detail. The mechanical analysis of the whole machine under the working conditions of modal analysis, random vibration and sinusoidal vibration is carried out, and the natural frequency, vibration mode and corresponding stress-strain data of each component are obtained. Through the PCB deformation check and structural strength check, the design safety margin of the whole machine is obtained. The analysis results provide the design basis for the structure finalization of aerospace electronic equipment, shorten the research and development cycle, reduce the experimental cost, and have important significance for the structure design of electronic equipment.
Research and development of mine high precision wind speed sensor and temperature correction
Authors: Liu Na , Li Bingrui 
Published: February 2022

Abstract
According to the requirements of mine production for ventilation monitoring system, an ultrasonic wind speed sensor with high precision and low starting wind speed is developed. Based on the measurement principle of ultrasonic time difference method, an ultrasonic wind speed sensor is designed. The propagation speed of ultrasonic in the air is superimposed with the wind flow speed. The propagation speed is accelerated in the along wind flow direction and slowed down in the counter wind flow direction. Under certain detection conditions, it corresponds to the wind speed function, and the accurate wind speed can be calculated. Through the analysis of the relationship between ultrasonic speed and temperature, it is proposed to correct the ultrasonic propagation speed through temperature compensation. Through experimental research, it is found that eliminating the measured value of wind speed with the difference between ultrasonic temperature and air temperature greater than 1 °C can improve the measurement accuracy.
Derivative of Spatial Variables in Orthogonal Curvilinear System with Respect to the Ones in Cartesian Coordinate System
Authors: Zhang Peng , Zhang Cunfeng , Su Wen-wei 
Published: February 2022

Abstract
Based on the transformation of the spatial variables between the orthogonal curvilinear coordinate system and the Cartesian coordinate system, the derivation of spatial variables in orthogonal curvilinear system to the ones in Cartesian coordinate system is derived. The derivatives of the spatial variables in cylindrical, spherical, and elliptic cylindrical coordinate system are derived respectively.
Torque anomaly detection of nuclear power electric valve actuator based on DAE-WDSVVD
Authors: Peng Junjie , Chen Xin , Li Mingqiang , Zhang Yanhui 
Published: February 2022

Abstract
The abnormal detection of nuclear power electric valve actuator components can effectively improve its operation safety and reliability. With the rise of artificial intelligence technology, data-driven fault diagnosis methods have become more and more popular. However, in practical application, there are few or almost no fault data of valve actuator. For the problem of anomaly detection of actuator components of valve in the scenario of only normal data, anomaly detection method based on the fusion of deep autoencoder (DAE) and weighted deep weighted support vector data description (WDSVVD) is proposed. It uses normal data to train the depth self-encoder, and the reconstruction error of the depth self-encoder to train the support vector data description. Compared with the traditional anomaly detection method, it significantly improves the anomaly detection accuracy and can realize more sensitive and robust component anomaly detection.
Research and Application of a Fast Recovery Strategy for Complex Structure Networks Based on Sorting Multi-objective
Authors: Dang Yijie , He Yunrui , Zhang Shulin , Chen Liang , Liu Guangxu , Zhang Xiangyi , Bai Shuo 
Published: February 2022

Abstract
With the development of information technology, the scale of data centers and the number of equipment are experiencing explosive growth, and the network structure of data centers has also continued to develop and mature. The more complex network structure increases the possibility of network failures and the difficulty of operation and maintenance. When an unpredictable failure occurs in the network, in order to quickly recover the network, a multi-objective complex structure network rapid recovery strategy is proposed. Under the goal of the shortest failure time, minimum reduction of safety protection, and maximum possible restoration of the original method, a restoration plan is given.
Cold-preventing simulation of low-temperature protective clothing based on an unsteady one-dimensional heat conduction model
Authors: Wang Sizhong , Luo Yuhao , Li Zhenyang 
Published: February 2022

Abstract
With the development of science and technology, people are constantly exploring the extreme cold regions. In order to enable people to work normally in extremely cold weather, scientists have been studying low-temperature protective composite materials to protect workers in ultra-low ambient temperatures. This paper studies the cold-proof effect of low-temperature protective clothing composed of three materials. First of all, this paper uses the principle of heat transfer to establish an unsteady one-dimensional heat conduction partial differential equation model for the experimenter, cryogenic protective clothing and the system composed of the external air environment. Secondly, this paper determines the boundary value conditions and boundary value conditions of the definite solution, as well as the continuous conditions of the contact surface between the materials in the protective clothing. On this basis, this paper uses the finite difference method to convert the differential equation into a display format to solve the problem. The final result is that the experimenter’s persistence time with 15°Cas the holding limit outdoors is 662.5s, and 10°Cas the holding limit. It is 675.3s. Finally, the sensitivity analysis of the model is carried out by setting the temper-ature fluctuation.
Firefly optimized particle filter algorithm based on adaptive differential evolution
Authors: Meng Ziwei , Mei Jinjie , Yu Chengjun 
Published: February 2022

Abstract
The improved particle filter algorithm based on fireflies reduces the particle diversity in the later iterations, which is easy to fall into the problem of local optimization. To solve the problem, after firefly position updated, we can integrate the differential evolution algorithm into it. The process can be described like this: firstly, the mutation process is guided by the particle weight adaptively; the crossover process is selecting individuals randomly according to the crossover probability; finally, the selection process takes the observation probability density function as the fitness value, and retains individuals with high fitness. After adding differential evolution, the diversity of individuals has increased and jumped out the process of local optimization. The overall quality of the particle swarm has been improved. Experiments show that the tracking accuracy of the improved algorithm has been improved, as well as the global optimization capabilities.
Production Bottleneck Prediction of Multi-Variety and Small Batch Production Workshop
Authors: Lin Shuo , Liu Junhui , Li Shishi 
Published: February 2022

Abstract
Aiming at the bottleneck dynamic drift problem of production line, a dynamic bottleneck prediction method based on Markov chain was proposed to predict the bottleneck before the bottleneck appeared and predict the bottleneck change state. First, Markov state probability transition matrix is determined by analyzing the past data. Second, the current operation state of the process is brought into the Markov chain to calculate the probability of each process bottleneck at the next moment. Finally, the bottleneck index model is used to accurately locate the bottleneck location, and then get the exact bottleneck process.
Calibration and Target Signal-to-Noise Ratio Enhancement Method of Infrared Camera Array Based on Refocus
Authors: Xie Xiaokai , Yang Jungang , Xiao Chao , Wu Tianhao , Liu Ting , An Wei 
Published: February 2022

Abstract
The accuracy of infrared (IR) camera calibration directly affects the quality of IR imaging results. Many imaging devices have been utilized in infrared dim and small target detection, which is a major research direction in infrared field. Comparing with single-lens cameras, IR camera array can improve the detection capability by adding more imaging units, and is expected to break the limitations of traditional single-lens imaging system in cost, volume and performance. The calibration methods for camera array nowadays are generally applied in visible spectrum instead of IR band. In this paper, we proposed a calibration method based on refocus for IR camera array. Furthermore, the target signal-to-noise ratio enhancement method become effective after calibration of IR camera array. As the camera parameters obtained can be used to correct image distortion and improve the quality of imaging, the calibrating process can support many subsequent tasks such as target detection. Experiments indicate that our method achieves the expected effect.
Aero-engine Model Correction Technology Based on Adaptive Neural Network
Authors: Pu Chenghan , Zhou Wenxiang 
Published: February 2022

Abstract
In this paper, a neural network-based algorithm is proposed to adapt the performance maps of engine component models for the mismatches between aero-engine simulation models and actual engine characteristics. Based on the general characteristics data of rotating components in GasTurb, a neural network capable of calculating the efficiency and mass flow of rotating components is trained. This neural network is introduced into the engine nonlinear component model to calculate the deviation between the output parameter of each section of the engine component model and the real engine performance indicators. The linear relationship between the parameters of the nonlinear model is solved by applying perturbation theory. The error between the output characteristics of the neural network and the real engine component characteristics is derived based on the simulation error, which makes the neural network is further optimized so that it can track the current real engine performance. In this paper, a model of one turboshaft engine is used as the simulation object, and the simulation of component model building and performance maps adaptation is carried out. The simulation results show that the proposed performance maps adaptation algorithm can effectively improve the accuracy of the component-level model of the turboshaft engine, and is applicable to model correction of various types of gas turbine engines.
Balanced Scheduling Method for Big Data of Network Traffic Based on Set-pair Analysis Strategy
Authors: Yang Yijie 
Published: February 2022

Abstract
The continuous surge in the total amount of big data of network traffic leads to excessive data transmission load on the network channel. To effectively alleviate this problem, a scheduling method for regulating big data load is designed and proposed. The link discovery is applied to perform set-pair analysis of network topology awareness; the cloud computing algorithm is used to perform calculations for data transmission; based on the measurement results, traffic routing is controlled and measured to achieve link analysis and reorganization, as well as completing balanced scheduling of traffic big data, which proves that the method can effectively alleviate the big data scheduling load problem and has an important role for research in network optimization fields.
Hardware-in-the-loop simulation of inverter power supply controller based on StarSim and DSP
Authors: Zhou Han , Zhao Yongxin , Chen Guochu 
Published: February 2022

Abstract
Aiming at the contradiction between the requirements for rapid development and verification of inverter power supply controller products and the actual construction of real inverter power supply circuit topology, this paper proposes to build a semi-physical simulation platform based on StarSim and DSP. This paper takes the single-phase full-bridge inverter power supply as an example, use Shanghai ModelingTech company’s StarSim real-time simulator as the hardware platform, establish the circuit model in Matlab/Simulink and select NI PXIe-7846R board to run circuit extensions, and use TMS320F28335 as controller of the phase inverter power supply, based on StarSim HIL host computer program to load the model, configure the IO, and test and verify. The experimental results show that the semi-physical test platform has high accuracy and feasibility, shortens the development cycle of the controller, and greatly reduces the development cost of the controller.
Analysis of Responses of Satellite Honeycomb Panel to Pointwise Explosive Induced Environment
Authors: Liu Gang , Deng Mingle , Zhang Cheng 
Published: February 2022

Abstract
The purpose of this article is to research the pyroshock responses of a satellite honeycomb panel and to find a new method to characterize shock test specifications. The near-field and mid-field pyroshock responses induced by a pointwise explosive of the satellite honeycomb panel were measured using shock sensors. The responses were analyzed with haar continuous wavelet transform method, and a new method of characterizing shock test specifications with wavelet coefficients is proposed.
Research on feature extraction of steam turbine shafting vibration signal
Authors: Niu Qingliang , Gong Yuli , Tian Guocheng , Zhang Deke , Zhang Ming 
Published: February 2022

Abstract
Vibration signal feature extraction is the primary problem of steam turbine condition monitoring and fault diagnosis. This paper focused on the analysis and recognition of vibration signal feature extraction, carried out model innovation on the basis of the existing status, and studied new modeling and solution methods. The vibration fault signals of typical steam turbine shafting were described respectively, and the time-frequency characteristics were studied by wavelet analysis
An analysis of new materials and their effects on improving fuel efficiency
Authors: Li Anran , Qiao Yanchao , Fu Shenghong , Gu Yichen 
Published: February 2022

Abstract
This paper introduces the use of new materials in the replacement of traditional materials in automotive vehicles. Firstly, the properties such as tensile strength, elongation at break, Young’s modulus, density were discussed and analyzed. Also, the benefits of using new materials are discussed by comparing the physical properties. Then the advantages of AZ91D magnesium alloy, T1000G carbon fiber were compared with traditional automotive materials and the improvements that were achieved where the new materials were proven to have increased strength and decreased weight. Furthermore, the concept of automotive lightweight is applied to demonstrate the relationship between new materials and fuel economy. Finally, the internal and external structures of the materials are analyzed such as the anisotropy of carbon fiber, and it was found that the benefits outweigh the drawbacks like the high production cost of carbon fiber, then suggestions are given for future investigations.
Determination of 11 kinds of ultraviolet absorbents in plastic food contact materials by high performance liquid chromatography
Authors: Qiu Yue , Zhang Qing , Yang Qian , Tan Chanlan , Zhang Lu 
Published: February 2022

Abstract
A method for the determination of 11 kinds of ultraviolet (UV) absorbents in food contact materials was established based on high performance liquid chromatography. The target compounds were separated on a Agilent SB C18 (250 mm×4.6 mm×5 μm) column with gradient elution using acetonitrile and water as mobile phase, which analyzed by diode array detector and quantified by external standard method. The results showed that the linear range of the 11 UV absorbents was between 0.2 and 50.0 mg/L (R2≥0.9985), the limits of detection (LODs) were in the range of 0.01-0.05 mg/L, and the limits of quantification (LOQs) were 0.05-0.20 mg/L. The recoveries (R) of blank samples at 0.2, 10 and 50 mg/kg were from 80.2% to 97.5%, and the relative standard deviations (RSD) were ranged from 0.37% to 4.15%. The method had low detection limit, high stability and good repeatability, which could be used for daily detection of UV absorbents in food contact materials.
Progress and trend of PbTe based Thermoelectric Materials
Authors: Zhou Yeshiyuan 
Published: February 2022

Abstract
Energy shortage and environmental pollution have become severe problems that can not be ignored in every country. As a new energy conversion material, thermoelectric material can realize thermoelectric conversion with the advantages of safety, energy saving and environmental protection. This paper summarizes the progress of some PbTe based thermoelectric materials in recent ten years, including the influence of doping elements such as Na, S, Sr and I on their thermoelectric properties, and introduces a method to balance their mechanical and thermoelectric properties. It can be seen that PbTe based thermoelectric materials have good development and broad application prospects in the future.
The formation mechanism of the line segregation in twin-roll casting (TRC) 3003 aluminium alloy
Authors: Qian Xiaoming , Meng Longzhou , Sheng Xue , Li Yong , Wang Zhaodong 
Published: February 2022

AbstractThe formation mechanism of the line segregation in twin-roll casting (TRC) 3003 aluminium alloy was investigated. Results revealed that line segregations exhibited in the as-cast microstructures of 3003 TRC strips, depending on the different electromagnetic parameters, the position of the line segregations appeared at the center, lower, upper layers of the strips. The formation of the line segregations took place during the solidification, alloying elements were pushed towards and gathered at the center line and the resulted in the formation of the center line segregation. The dual-wave interference was the reason the changes of the position of the line segregation, when the weakened zone of the dual-wave interference appeared at the lower or upper layer of the melts, the position of the line segregation changed accordingly, when the weakened zone of the dual-wave interference appeared at the center line, the line segregation diminished.
Mn doped graphene aerogels for high capacity and long-life supercapacitor
Authors: Chen Zhi , Shan Shuang , Liao Jiaxuan 
Published: February 2022

Abstract
The pure graphene aerogel material is a double-layer capacitor material which provides capacitance by the surface area. Its conductivity and specific capacitance require further improvement. In this work, manganese doped graphene aerogels were synthesized by hydrothermal method using manganese chloride as a source of manganese. The effect of manganese content on the structure and properties of the material was studied. It is found that the specific surface area and pore volume of aerogels decrease with the increase of Mn content. The Mn doped graphene aerogel prepared at the current density of 0.1 A/g shows a capacitance of 180 F/g and exhibits pseudo capacitance performance in the three-electrode test. After assembling the button capacitor, the capacity retention rate is 93% after 1000 cycles at a current density of 0.5 A/g.
Analysis of microstructure and protective performance of melt-blown materials for medical protective masks
Authors: Zhang Jin , Wang Huipeng , Chen Chunliang , Gui An , Zhang Xiaoyu , Wang Yumin , Xiong Yi , Zeng Wei 
Published: February 2022

Abstract
Since the end of 2019, the Corona Virus Disease 2019 (COVID-19) pandemic has led to a surge in the use of all kinds of medical supplies, especially surgical masks. Based on the microstructure and anti-virus mechanism of melt-blown materials used for medical masks, this paper introduces the research status of nonwoven filter materials used for protective masks. At the same time, the surface interface structure of four disposable medical protective masks from different manufacturers was analyzed by scanning electron microscope, and the difference of melt-blown materials of these masks was studied. The results show that the fiber diameter of melt-blown mask with better protective effect is fine and compact, and the aperture formed between fibers is smaller. This reasearch provides new ideas for further research and development of non-woven materials for medical masks.
Effect of concrete viscosity on apparent quality of fair faced concrete
Authors: You Renliang , Zhang Pan , Qiu Yuetao , Zheng Qing 
Published: February 2022

Abstract
In this paper, concrete with different viscosity was prepared by adjusting the water binder ratio of concrete. The floating time of table tennis was used to characterize the viscosity of concrete, and the effect of concrete viscosity on the apparent quality of fair faced concrete was studied. The test results show that with the increase of concrete viscosity, the apparent porosity of concrete decreases first and then increases. When the water binder ratio is 0.37 and the floating time of table tennis is 40s, the appearance quality of concrete components is the best.