bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structure design and simulation analysis of the water surface cleaning robot
Authors: Wang Pei , Fu Yupeng , Yang Hang , Peng He , Wang Hetao , Ding Rongtao 
Published: February 2022

Abstract
In order to effectively carry out water management and reduce people’s labor intensity, a double-hull water surface garbage cleaning robot is designed, using a pair of adjustable speed pump propellers to provide driving and steering power to the robot. It identifies the water surface garbage position through the binocular camera and algorithm, and the linkage mechanism is designed to complete the garbage pickup function. Through the Raspberry Pi as a controller, the robot has an autonomous intelligent recognition function and an autonomous recovery system. The kinematic simulation analysis shows that the robot garbage picks quickly and accurately; through the prototype function test, the robot is suitable for various complex water environment, with high operation efficiency and reliable performance, and can be widely used in water management.
The bending control of the soft pneumatic fìnger
Authors: Gao Renxiang , Fang Jiwen , Qiao Jinyu , Li Chong , Zhang Lianren 
Published: February 2022

Abstract
A soft finger is derived from the multi-chambers structure of PneuNets actuators. It includes the top extensible layer with ten pleated chambers and the bottom constraint layer. This soft finger is made of the same silicone rubber material, and the thickness of the bottom layer was increased to replace the hard material as the constraint layer. A model between the bending degree of the soft finger and input pneumatic pressure is constructed to describe the bending characteristics. And the finite element method is utilized to analyze the behaviors of the soft finger. It can be seen that the bending angle will fluctuate with the fluctuation of the input pneumatic pressure. The purpose of the bending control is to reduce the pressure fluctuations in the inner cavity of the soft finger through the control strategy. The bending control is realized by PID, PI, nonlinear PID, and PID based on the endocrine system (ES-PID). Compared to other algorithms, the ES-PID controller can improve the positioning accuracy and better adjust the pressure fluctuations in the inner cavity of the soft finger.
Study on the Application of Tobacco Dust Purification System in Situ
Authors: Zhang Guoping , Shao Jianming , Xu Ronghua , Zhang Xioabai 
Published: February 2022

Abstract
Dust prevention and control in the tobacco industry has always been the top priority, because the discharge of tobacco dust can cause workers’ pneumoconiosis, explosions, fires and other safety hazards. This article summarizes the advantages and disadvantages of the traditional three kinds of dust collectors. The author designed a tobacco dust in-situ purification system based on the principle of throttling gas-liquid exchange. The experiment selects the three factors of the initial liquid level, inlet wind speed, and feed concentration in the system, and conducts orthogonal experiments to obtain the purification efficiency of the system under different experimental conditions. The results show that the maximum purification efficiency of the laboratory can reach 99.27%. The purification efficiency is mainly referred to between 97%∼99%. Through the actual application of the site, it can be known that under the long-term operation of the system, the emission concentration at different links and distances is still less than 2 mg/m3, which meets the national dust emission standard.
Thermal Analysis of Cylindrical Roller Bearing Considering Thermo-Mechanical Coupling
Authors: Wen Baogang , Wang Jiayu , Wang Meiling , Zhang Xu 
Published: February 2022

Abstract
Thermal characteristic is important performance of the bearing, which reflects the friction characteristics of bearing. Thermal characteristics of bearing will change along with internal behavior when the bearing fails. There is a very complex coupling relationship. It is an important implication for the thermal analysis cylindrical roller bearing considering thermo-mechanical coupling. A model of heat generation for cylindrical roller bearing considering thermo-mechanical coupling is established based on the method of quasi-static and thermal network of bearing to solve the complex thermo-mechanical coupling of bearing. And then, the variation of complex thermal-mechanical characteristics such as friction torque, contact force and temperature for cylindrical roller bearing with wear failure is analyzed. The results show that the heat generation characteristics of the bearing are strongly coupled with the internal contact force and clearance. And the decrease of bearing clearance and the increment of contact force and friction torque, even rotor binding.with the increasing of wear degree.
Application of Sliding Smoothing Method Denoising in Model Updating Damage Identification
Authors: Tu Fei 
Published: February 2022

Abstract
The accuracy of finite element model updating for structural damage identification is easily affected by the noise in the measured modal, so the sliding smoothing method is introduced to reduce the impact of noise. In each iteration step, the sliding smoothing method denoising is applied to the difference between measured modal and simulated modal from the finite element model because the time-frequency characteristic of actual modal is different from noise modal. The modal parameters after denoising are used to construct objective function for modal updating, and the optimal question is solved to determine the stiffness in finite element model. Finally, the stiffness change can indicate the damage position and magnitude. The numerical analysis shows the proposed method can improve the robustness of finite element model updating for the structural damage identification.
Experimental Study on the Emission Performance of Lean Premixed Bunsen Flame with Piloted Rich Premixed Flame
Authors: Cui Yongzhang , Zhang Lili , Yu Chang , Yin Pengfei , Liu Yiming 
Published: February 2022

Abstract
Lean premixed flame has lower nitrogen oxide emission for lower flame temperature. Whereas its poor flame stability, an annual rich pilot premixed flame was used to enhance flame stability and reduce emissions with lower ratio of pilot flame and main lean flame load. With the increasing of pilot flame load, air coefficient of main flame increases gradually. Increasing the main flame load, the air coefficient of stable main flame decreases, while the nitrogen oxide and carbon monoxide changes little. Under all main flame load, nitrogen oxide and carbon monoxide decrease sharply at first and then gets slowly. The ultralow Nitrogen Oxide of 18 mg/m³and carbon monoxide of 50 mg/m³can be reached, under the condition of main flame air coefficient from 1.3 to 1.5.
Intelligent Leakage Location of Urban Small Water Supply Network
Authors: Liu Songzi , Lv Mou , Li Hongwei 
Published: February 2022

Abstract
In this paper, the leakage location model of pipe network is established based on EPANET software. Two intelligent swarm optimization algorithms, ant lion optimization algorithm and particle swarm optimization algorithm, are used to solve the model. Taking the industrial water supply network of a coastal city in North China as an example, the operation of the two algorithms is analyzed and compared. The results show that the ant lion optimization algorithm has stronger global optimization ability and higher search efficiency in the problem of leakage location; it also has high application value in practical engineering.
Prediction of Maximum Surface Settlements of Bai∼Hua Tunnel Section based on Machine Learning
Authors: Chen Jinmiao , Shen Xiaoyun , Chen Qiujie 
Published: February 2022

Abstract
Research on the settlement caused by subway tunnel construction has always been an essential issue in tunnel research. However, due to the complexity of soil characteristics and construction parameters, using empirical formulas or numerical simulations to predict the maximum ground settlement is challenging to balance ease of use and accuracy. In recent years, with the rapid development of machine learning theory and computer science technology, machine learning algorithms are increasingly being used to predict the maximum settlement. Random forest (RF) and artificial neural network (ANN) are often used to predict settlement. However, applying the extreme gradient boosting algorithm (XGB) in predicting the settlement is rarely seen. This article compares these three machines learning algorithms, using tunnel geometric parameters, shield construction parameters, and geological parameters as input parameters to predict the maximum ground settlement caused during tunnel construction. Compared with linear regression, the result shows these three machine learning algorithms can achieve higher quality results, and the stability of the RF and the XGB model is better than the neural network model. The XGB method can obtain the best results.
Intelligent Paving and Rolling Construction Technology of Asphalt Pavement
Authors: Yuan Taiping , Wang Zheng , Hong Qiaozhang , Chen Jing , Lei Jiechao , Meng Yongjun 
Published: February 2022

Abstract
The intelligent construction system of asphalt pavement consists of an intelligent paver, driverless roller, mobile base station, intelligent control program, etc. By installing GPS(BDS)+ GNS satellite receiver, 5G communication chip, microwave communication host, radio signal receiving antenna on the construction equipment and connecting with the processor, switch, program software, and other components set on the equipment, integrate the laser obstacle avoidance radar, infrared temperature detection device, laser ranging sensor and other terminal equipment set on the equipment to realize the intellectualization of equipment use function; By running the intelligent control system, mobile 5G communication base station system and construction area acquisition system, command the linkage operation of multiple intelligent types of equipment to realize the intelligent control of pavement construction and meet the requirements of asphalt pavement design specifications.
Review of Research on Extraction of Urease from Microorganisms and Plants
Authors: Cui Meng , Lü Suying , Xiong Huihui 
Published: February 2022

Abstract
Microbially Induced Carbonate Precipitation (MICP) and Enzyme Induced Carbonate Precipitation (EICP) are the two most widely studied new technologies for soil solidification in recent years, both of which can be used to improve the engineering properties of soil. This paper briefly introduces the principle of MICP and EICP technology, and summarizes the application of different kinds of microorganisms and plants urease extracts. Finally, based on the existing research results, different kinds of microorganisms and plants urease extracts were compared from multiple perspectives.
Static Performance Analysis of Special-Shaped Lightweight SI Floor Slab
Authors: Tu Bin , Su Ge , Hong Cheng , Liu Kai , Zhou Haonan 
Published: February 2022

Abstract
The special-shaped lightweight SI (skeleton and infill) floor structure studied in this paper is a kind of space reserved in the structure of the structure, and there is no need to erect a cavity in the later decoration process to realize the structure and the A new type of fabricated floor with separation of pipelines. In order to study the force mechanism and influencing factors of this new structure, this paper uses Midas FEA finite element software to analyze the deformation and stress of the structural element, and studies the influence of the number of slots and the size of the slots on the static performance of the structure. The analysis results show that the new floor slab performs well in static performance and can achieve a larger space span; under the premise of ensuring the same capacity, increasing the number of wire ducts and reducing the size of the wire ducts can effectively solve the stress concentration in the middle of the floor slab. Phenomenon, and improve the rigidity of the structure. The result of the parametric analysis is: the best structural layout is based on the transverse central axis, with 2 wire slots reserved on the upper board, 3 wire slots reserved on the lower board, and the specification of the wire slot is 70mm×50mm×20mm.
Measurement of Aspheric Surfaces Using an Arcuate Region Scanning Method by 2D Laser Displacement Sensor
Authors: Lan Menghui , Li Bing , Wei Xiang , Wu Xiuyuan 
Published: February 2022

Abstract
This study proposes an effective measurement of aspheric surfaces using arcuate region scanning method by 2D laser displacement sensor. In a global coordinate system, the point cloud data of each arcuate region in aspheric surface are obtained successively, coordinated with the rotation of the rotating platform and the transverse movement of the 2D laser displacement sensor in a fixed step size. When scanning different areas, it is necessary to calculate the scanning angle gap and included angle according to different scanning length of arc. Then the aspheric surface error could be calculated through the reconstruction consequence. It can be used for in-situ measurement in the processing stage of aspheric mirrors. We present an experiment compared with the measurement results of PGI to verify the validity of this measurement method.
Investigations on Breakdown Voltage of Trench-gate-type Super Barrier Rectifier with Stepped Oxide
Authors: Xu Dalin , Wang Yuqi , Li Xinhua , Shi Tongfei 
Published: February 2022

Abstract
A novel trench-gate-type super barrier rectifier (TSBR) with stepped oxide (SO-TSBR) is proposed and researched by device simulator. As an improved TSBR structure, the proposed SO-TSBR with high breakdown voltages be effective in achieving low forward voltage drop. Simulations have demonstrated the two-dimensional charge coupling in the N-drift region resulting in an optimal electric field distribution. The 280 V SO-TSBR used for the numerical simulations decreases the on-state drop by 26.6% at the forward current density of 2.5 A/cm2 than that of the conventional TSBR. The SO-TSBR with deep trench structure reduces further the forward voltage drop by 11.0% at the forward current density of 20 A/cm2.
Angle Steel Tower Bolt Defect Detection Based on Transformer
Authors: Zhang Jinfeng , Hu Yuanwei , Ji Shujun 
Published: February 2022

Abstract
The bolts of the angle steel tower will rust, loose, and fall off under natural conditions. Traditional manual bolt defect detection is inefficient and dangerous. This paper proposes CViT-FRCNN based on ViT-FRCNN, which uses a convolutional neural network as the backbone model and the output features are input to the Transformer encoder. Compared with the direct patch embedding of ViT-FRCNN, this can improve the richness of input features and detection accuracy. A series of experiments show that our proposed model achieves the best performance in angle steel tower bolt defect detection and meets the needs of power inspection scenarios.
Femtosecond Laser Machining of Flexible Printed Circuit Boards
Authors: Lu Zheng , Wang Mingdi , Zhang Pengcheng , Li Chuanzhu 
Published: February 2022

Abstract
As the demand grows for high-density electronic components and highly integrated printed circuit boards, femtosecond laser micromachining provides unique opportunities for creating fine conductive tracks and patterns on flexible printed circuit boards (FPCBs) without the use of a mask. Here, the effects of femtosecond laser power and pulse frequency on micromachining depth, surface roughness and copper content of the machined zone were investigated, and optimum laser parameters, i.e., laser power 280 mW and pulse repetition frequency 39.5 kHz, were achieved with the help of a 3D optical profilometer and energy dispersive spectroscopy (EDS). On this basis, a single conductive track with varying widths and two parallel conductive tracks with different widths/spacings were micromachined on FPCBs without noticeable substrate damage. The results indicate that a single conductive line with a feature width as small as 25 µm can be achieved, and two parallel copper tracks can be created with no evidence of the presence of copper residues between the tracks when the pre-defined spacing is no less than 45 µm . In order to achieve high micromachining accuracy, look-up tables that correlate measured widths/spacing of conductive tracks with the pre-defined ones were built.besides, machining conductive tracks with 135 degree corner is possible and by selecting optimized processing parameters. Finally, a driving circuit for a display panel was micromachined on FPCBs using femtosecond laser, and an average micromachining accuracy of 0.67 μm was achieved. This work will be quite useful for creating high density and precision patterns on FPCBs using femtosecond laser.
Power spectrum scaling as a measure of critical slowing down and precursor to tipping points in dynamical systems
Authors: Prettyman Joshua , Kuna Tobia , Livina Valerie 
Published: February 2022

Abstract
Many dynamical systems experience sudden shifts in behaviour known as tipping points or critical transitions, often preceded by the ‘critical slowing down’ (CSD) phenomenon whereby the recovery times of a system increase as the tipping point is approached. Many attempts have been made to find a tipping point indicator: a proxy for CSD, such that a change in the indicator acts as an early warning signal. Several generic tipping point indicators have been suggested, these include the power spectrum (PS) scaling exponent whose use as an indicator has previously been justified by its relationship to the well-established detrended fluctuation analysis (DFA) exponent. In this paper we justify the use of the PS indicator analytically, by considering a mathematical formulation of the CSD phenomenon. We assess the usefulness of estimating the PS scaling exponent in a tipping point context when the PS does not exhibit power-law scaling, or changes over time. In addition we show that this method is robust against trends and oscillations in the time series, making it a good candidate for studying resilience of systems with periodic oscillations which are observed in ecology and geophysics.
Optimization of ideal temperature using Mamdani fuzzy logic alogorithm on tunnel flow type chicken cage for brooding period
Authors: Arief U M , Damayanti S 
Published: February 2022

Abstract
Consumption of meat, particularly chicken meat, is increasing in Indonesia year after year, resulting in an increase in chicken meat output. The first step in improving the quality of chicken meat production is to boost success during the brooding stage, with one of the most critical stages being the achievement of the appropriate temperature requirement throughout the brooding period. Good broiler performance will result from uniform cage temperature during brooding. Too-cold temperatures will cause chicks to cuddle close to the heater and be too lethargic to conduct activities such as feeding and drinking. Chickens suffer from stunted growth as a result of this condition. A temperature that is excessively high, on the other hand, will force the chicks to flee the heater and seek a cooler location with better airflow. A fuzzy algorithm is an alternate way for temperature regulation that can maintain the temperature requirement of chicks during brooding. The Mamdani fuzzy approach utilized has the advantage of producing better results than other fuzzy methods. The findings of a temperature management system designed utilizing the Mamdani fuzzy approach with a tunnel flow cage design, a 100-watt bulb heater, two cooling pads, and three fans were able to maintain the appropriate temperature for 14 days in this investigation.
Stress and displacement analysis of powder packaging machine of capacity 2,600 pcs/hours
Authors: Al-Janan D H , Kriswanto  , Unggul R , Roziqin A , Widodo R D , Hangga A , Wiratama B , Wijayanto B , Jamari J 
Published: February 2022

Abstract
This study aims are to analyze stress and displacement using Finite Element Method (FEM) of the three components design of powder packaging machine. The safety factor (SF) is calculated to compare with the design acceptance criteria, more than two. The frame is made of ASTM A36 steel angle bar, while the camshaft and sealer sleeve of AISI 1018. Steel angle bar widths of 40x40 (mm) and 50x50 (mm) with a thickness of 3,4,5 (mm) use for the frame design variant. The diameters of the camshaft design variants are 0.75”, 1”, and 1.25”. Then, the sealer sleeve variant utilizes thicknesses of 10, 12, and 14 (mm). Loading assumption during adverse operating conditions, such as when there is an obstacle or jam. Through the finite element method results, increasing the thickness of the frame also the sealer sleeve, and increasing the diameter of the camshaft, produced a decrease in the value of von mises stress and displacement. The safety factor for all variants of frame thickness was more than two, indicating that all designs were safe and acceptable. Nevertheless, there is one design failure on the camshaft and sealer sleeve because the SF value is less than two.
Preserving snapper spinach (Amaranthus hybridus) using ozone technology and cold temperature
Authors: Wulansarie R , Bismo S , Stefani A , Maulana B R , Rengga W D P 
Published: February 2022

Abstract
Indonesia has abundant natural resources, one of which is agricultural products. One of the abundant agricultural products in Indonesia is snapper spinach (Amaranthus hybridus) which contains various kinds of nutrients. Snapper spinach can contain harmful contaminants, one of which is E. coli bacteria. These bacteria can cause snapper spinach to rot easily, so it needs to be removed or reduced. This study aims to determine the effect of ozone and/or cold temperatures on the shelf-life quality of snapper spinach (Amaranthus hybridus). The research methods include the preparation process, the washing process, the storage process (using ozone, cold temperatures, and cold ozone). The results of the study were tested using the TPC test. The best research result is that the process of adding cold temperatures after the ozone method treatment is very influential both in terms of physical and in terms of microbial contamination, seen in samples treated with ozone washed using water and stored at cold temperatures looks better than those stored at room temperature.
Increasing groundwater replenishment through environmentally friendly parking lot pavement model
Authors: Wulandari D A , Suripin  , Ulfiana D , Hermawan C W , Grimaldi E 
Published: February 2022

Abstract
Paving blocks are basically permeable pavements, which can reduce surface runoff by infiltrate rainwater into the ground. So that the installation of paving blocks on parking lots has an environmental function for filling groundwater. However, what is happening in the field today is that paving blocks behave like an impermeable layer. When it rains, it cannot absorb water or only absorbs a little water so that inundations occur. This can be caused by, among other things, the installation of paving blocks or the improper pavement structure. Therefore, it is necessary to develop a model of the parking lot pavement structure that is environmentally friendly, while contributing to groundwater filling, and reducing the surface runoff. The research was conducted by making a physical model of the permeability test. Parking lot pavement structure with arrangement permeable paving block, bedding layer and graded based layer will be placed on a test kit equipped with a control valve. With the system of partly filtration, it will be possible to know the amount of discharge absorbed by the model. So that the parking lot pavement structure will be obtained that can contribute to groundwater filling and its application to various types of subgrade.