bluuebunny/crossref_metadata_2025_split huggingface dataset:
Additive Manufacturing and Mechanical Properties of Functionally Graded Medical Ti–35Nb–7Zr–5Ta Porous Scaffolds
Authors: Cheng Huihua 
Published: August 2021

Abstract
Functionally graded porous structure materials produced by additive manufacturing are promising for bone tissue engineering. Uniform and three kinds of gradient porous models (Radial, Axial, and Unidirectional) based on BCC unit were designed and built with selective laser melting. The research results show that: SLMed Uniform porous Ti–35Nb–7Zr–5Ta sample consists of a single β-Ti phase, and microstructure is composed of columnar crystal and cellular structure. The compression test shows that the radial gradient porous structure has higher yield strength (111 MPa), low elastic modulus (4.5 GPa), excellent plasticity, and energy absorption, which is more suitable for the construction of load-bearing orthopedic scaffold.
A 6-PTRT Parallel Robot using Parallel Guide Wires
Authors: Yang Xian , Zhuo Beichen , Jia Haozhe , Rong Weibin , Liu Chun , Gao Wenxiang , Li Shijie 
Published: August 2021

Abstract
In this paper, a parallel guide 6-PTRT parallel robot with 6 degrees of freedom is designed for drilling and riveting in the narrow space inside the nacelle, and its kinematics analysis is performed, including the solution of inverse kinematics solution, Jacobian matrix, workspace results and the forward kinematics solution. The major structure parameters of the parallel robot are optimized by integrating the global performance index and the size of the workspace, and a set of parallel robot size parameters with good comprehensive performance are obtained. They are layout angles θ
1 = 17.5°, θ
2 = 15°, radius of movable platform r = 130mm, radius of fixed platform R = 220mm, length of branch chain L = 220mm. These parameters meet the given size of the space available for the robot and the mounting dimensions of the drilling tool
Critical Speed Analysis of Sliding Bearing Rotor System Based On ANSYS
Authors: Ming Cheng , Xianbin Teng , Qijiang Yang , Songcheng Pu , Yupeng Wang , Yaodi Lin , yachunyue Zhou 
Published: August 2021

Abstract
Sliding bearing rotor system plays an important role in rotating machinery, and its critical speed is a key index. In this paper, a sliding bearing rotor system is established, and the critical speed range is obtained by ANSYS Workbench software under different oil film stiffness, which provides guidance and basis for maintaining the stability of sliding bearing rotor system and avoiding resonance.
Design and Random Vibration Simulation of the S-shaped Vibration Damping Structure for Transport Pallet
Authors: Huang Xiuling , Qu Xiaohui 
Published: August 2021

Abstract
In order to improve the safety of containerized transport unit in palletized transport, this paper designs a new structural vibration damping pallet. Compared with the pallets that rely on material damping, the former is less affected by the environment, and can limit the horizontal and vertical deformation, making it elastic vertically to ensure the stability of cargo stacking. The relationship between its elastic deformation and material properties, size parameters and loads is obtained by establishing the mechanical model of the S-beam damping structure. Through finite element simulation of the static elastic deformation of the pallet, the relative error between the simulation and the theoretical results is only about 1%, which verifies the theoretical basis of the vibration damping structure and reliability of the finite element modeling. In random vibration simulation, the S-shaped structural vibration damping pallet has a damping effect from 11.2Hz, and it reduces vibration energy of the traditional pallet by 46.3% and 9.3% less than the EPE material damping pallet and covers a wider damping frequencies. The results show that the pallet has obvious vibration reduction effect, can effectively protect the cargo and increase security of palletized transport.
Magneto-Optical Imaging Detection and Reconstruction of Complex-Shaped Weld Defects
Authors: Liu Qianwen , Song Yaowu , Ye Guangwen , Zhang Yanxi , Wang Congyi , Gao Xiangdong 
Published: August 2021

Abstract
To research the feasibility of magneto-optical imaging (MOI) in detecting small and complex defects and to explore the imaging process of MOI detection, the MOI system is used to detect defects with small and complex shapes. And the magnetic field energy accumulation of defects is simulated by Maxwell 3D. Finally, the defect profile is reconstructed according to the magnetic field distribution obtained. Research results show that the reconstructed defect images are basically consistent with the actual magneto-optical images. And there is special magnetic field energy accumulation at the intersection point, inflection point and end point of the complex-shaped defects. MOI is feasible in the detection of complex shapes, and the simulated imaging method has a certain theoretical assistance for MOI detection.
The Modeling and Design of Pressure Detection Device in an Automated-cutoff Valve
Authors: Jun Chi , Mingjie Xing , Junjie Xing , Jiatao Song 
Published: August 2021

Abstract
In order to improve the efficiency of the design of gaseous pressure detection device in an automated-cutoff valve, a model is established according to its deformation characteristics. After the simulation of fluid field which illustrates the dispersed gaseous pressure in the inner cavity and the analysis of displacement produced by a deformed flexible part in the device, the main parameters of the device are designed based on the model. Finally, the data in the corresponding test verifies that the established model is correct and parameters design are effective in the engineering.
Numerical simulation and experimental research on the thermal comfort of a passenger compartment considering the influence of solar radiation
Authors: Feng Jiqi , Wang Chen , Kan Jinzhuo 
Published: August 2021

Abstract
Computational fluid dynamics (CFD) method is used to study the effect of solar radiation model on the thermal environment of passenger compartment. The thermal comfort of passenger compartment is evaluated by equivalent temperature and mean radiation temperature and the correctness of the simulation results is verified through passenger compartment cooling performance experiment. The results show that the solar radiation parameters have different effects on the thermal comfort of passenger compartment. Among them, the solar azimuth has no obvious effect on the thermal comfort of passenger compartment. The change of the solar altitude will cause different solar radiation and radiation intensity changes in various parts. Changes in radiation intensity have a great impact on thermal comfort.
A study of replication of Qing Dynasty dragon robes based on CLO3D technology
Authors: Wang xu  , Yue Li , xiaogang Wang 
Published: August 2021

Abstract
So far, the research on Chinese historical costumes has stayed on the discussion of culture, shape, pattern and social background. There is a big gap in the research on the reproduction of historical costumes. In this paper the clothing characteristics of Qing Dynasty dragon robe pattern, craftsmanship, shape and structure are analyzed by referring the literature, with the purpose of realizing the digital virtual display of ancient traditional clothing, and it carries out a comparative analysis of clothing CAD pattern, 3D virtual fitting and replication of samples, which put forward the detailed problems and solutions in the traditional dragon robe virtual simulation process. The research shows that the three-dimensional virtual simulation model can accurately restore the fabric, pattern, color and structure of the dragon robe of the Qing Dynasty. Therefore, this paper provides a reliable patterns and simulation modeling method for the research about the dragon robe, which offer an innovative research method for inheritance of traditional Chinese clothing.
Experimental Research on the Gluing and Curing Cycle Time for the Connecting Hole Sleeve of Communication Satellite Engine Bracket
Authors: Wang GuoXing , Qi XiangJun , Yu MaoLin , Zheng YuMin , Cheng Ze , Li YaBo , Zhang Jian 
Published: August 2021

Abstract
The connecting hole sleeve of the engine bracket is an important component to ensure the reliable installation of the satellite engine. In actual production, the inner and outer connecting hole sleeves of the bracket are connected by gluing and screwing, and finally the fastening components are installed by drilling and reaming. The traditional adhesive curing cycle standard does not apply to this situation. In this paper, the influence of different curing time on the reaming operation of the connecting hole sleeve was studied through the development of the process test. The test conclusions have reached the shortest curing period of the glue that can ensure sufficient connection strength of the hole sleeve, and put forward suggestions for improvement. The test method in this article has reference significance for related research in other industries.
Research and Application of Fault Diagnosis Method for Automobile Electronic Control Engine Based on Data Stream Analysis
Authors: Zhang Chen 
Published: August 2021

Abstract
In the process of diagnosing automobile electronic control engine faults, using data flow analysis methods as the main fault diagnosis work can not only improve the efficiency of fault diagnosis, but also have a positive significance for the development of China’s automobile industry. The engine is not only the main component of the automobile, but also the key content that must be paid attention to in the development of the automobile industry. Once a car engine fails, it will have a great impact on the operation of the whole car. In order to be able to accurately grasp the specific fault conditions of automobile electronically controlled engines, we need to use effective fault diagnosis methods for analysis. At present, the application of dynamic data flow and static data flow analysis methods can accurately grasp the actual situation of the engine to a large extent. The use of data flow analysis to carry out effective troubleshooting and handling of the cause of the fault can reduce the possibility of engine failure. Experts need to analyze the specific conditions of the data flow during the research process, and discuss the specific application of the data flow analysis method in the process of automobile electronic control engine fault diagnosis. Thereby it can provide accurate reference for the fault diagnosis of automobile electronic control engine, ensure the safe operation of automobile electronic control engine, and improve the production efficiency of automobile enterprises.
Research Core Ideas Analysis of Intelligent Optimization Methods of Complex Equipment Multi-Pipe Road
Authors: Liu Haiyan 
Published: August 2021

Abstract
In the process of complex equipment work, the piping system plays a very important role. The rationality and precision of the layout design results will affect the service life of complex equipment. This article analyzes the targets, laying principles, commonly used laying models, and laying obstacles for complex equipment with multiple pipelines in bundles. The author studied the key points of intelligent optimization of single-target pipeline and multi-target pipeline laying in bundles of complex equipment. The purpose of this article is to optimize the piping system layout and improve the safety of complex equipment during operation.
Effect of beam oscillating pattern on laser welding of steel to PMMA
Authors: Huang Yijie , Zhang Nanfeng , Zhang Yanxi , Gao Xiangdong 
Published: August 2021

Abstract
Laser welding of 1 mm-thick steel and PMMA was employed via beam oscillating. Three modes of beam oscillation, transverse, longitudinal and circular were explored. Due to the stirring effect, the beam oscillation improves the weld formation and promotes the flow of bubbles in the molten layer. The circular oscillation gives the strongest weld homogeneous without overheat discoloration defect. The bonding strength was 38% more than the weldment without beam oscillation. The weld strength improvement was attributed to the variation of the oscillating speed varies the time-frequency distribution of the beam energy. This technology reduces the morphological defects and increases the uniformity of the weld. The improvement mechanism of beam oscillation on bubble behavior and melt flow behavior is also discussed.
Digital twin model of equipment maintenance management in modern enterprises
Authors: Wang Yabin , Wang Shuai , Wang Jinguo 
Published: August 2021

Abstract
With the development of science and technology, modern enterprise equipment is more and more complex and widely distributed. The requirement of “accuracy” of equipment maintenance management is higher and higher. Accurate equipment maintenance management is of great significance for accurate support of modern enterprise. By analyzing the current problems faced by modern enterprise equipment maintenance management, the digital twin technology is introduced into the field of equipment maintenance management, and the idea of modern enterprise equipment maintenance managemen based on digital twin is proposed. From the physical layer, twin layer, application layer and connection layer, the equipment model based on digital twin is established, the operation of the model is analyzed, and the application method of the model is prospected.
Comfort evaluation and analysis of high-speed train
Authors: Ding Tiecheng , Lin Jianhui , Chen Xieqi 
Published: August 2021

Abstract
At present, the methods widely used to evaluate passenger comfort in train environment are ISO2631-1 and UTC-513R. In order to compare and analyze the application of the two standards in the actual line conditions, three-axis acceleration sensor is installed on CRH3 to collect the vibration data of the vehicle. All the ride comfort is calculated according to the standards of ISO2631-1 and UIC-513R, and mapped to the map line. The results are helpful to further improve the accuracy of comfort evaluation of high-speed trains.
Measurement method of pillow spring based on machine vision
Authors: Liu Huanlong , Jiang Bin , Li Dafa , Wang Zhengjie 
Published: August 2021

Abstract
In the current maintenance of pillow springs of railway freight cars in our country, the measuring method of manually using measuring scale and measure gauges is still common. In order to improve the quality and efficiency of the pillow spring measurement, and to support the automatic upgrade of the pillow spring maintenance line, a new method for measuring the size of the pillow spring based on machine vision is proposed. By analyzing the requirements and characteristics of pillow spring detection and matching, a visual measurement system was designed to replace manual measurement, and openCV was used for image processing, feature extraction and size calibration. Compared with manual measurement, the measurement accuracy and efficiency of this method are higher. Experiments were conducted under different lighting conditions, and the measurement results have good repeatability and stability, indicating that the method has good robustness to the light intensity of the pillow spring environment.
Analysis and Application of Vibration Signals of Aerospace Servo Actuator
Authors: Chen SiLu , Li Zhanwei , Zhang Qing 
Published: August 2021

Abstract
This paper analyzes the vibration signals of aerospace servo actuator and studies their applications. In the signal pre-processing, an adaptive filter based on genetic algorithm is added to improve the signal-to-noise ratio. Time domain analysis is used to monitor the vibration signals and determine the main vibration directions. Frequency domain analysis is used to extract the main vibration frequencies and perform preliminary fault analysis. The WT method with optional window function is used for time-frequency analysis, which can describe the relationship between vibration signal frequency and time, and decompose the signal characteristics required for the analysis. In the research, LabVIEW and MATLAB are used for data processing and analysis. The research lays the foundation of aerospace servo actuator vibration signal analysis and processing system.
Human influence on daily temperature variability over land
Authors: Wan H , Kirchmeier-Young M C , Zhang X 
Published: August 2021

Abstract
Changes in day-to-day (daily) temperature variability have implications for the health of humans and other species and industries such as agriculture. The strongest historical changes in daily temperature variability are decreases in the northern high latitudes annually and in all seasons except summer. Additionally, daily temperature variability has increased in the Northern Hemisphere mid-latitudes during summer and over tropical and Southern Hemisphere land areas. These patterns are projected to continue with additional warming. We conduct a formal detection and attribution analysis, finding the global spatio-temporal changes in daily temperature standard deviation annually and for all seasons except boreal summer are attributable to anthropogenic forcing. Human influence is also detected in some individual 20-degree latitude bands, including the northern high latitudes. Attribution results are generally robust to different methodological choices and this provides confidence in projected changes in daily temperature variability with continued anthropogenic warming.
A link between surface air temperature and extreme precipitation over Russia from station and reanalysis data
Authors: Aleshina M A , Semenov V A , Chernokulsky A V 
Published: August 2021

Abstract
Precipitation extremes are widely thought to intensify with global warming due to an exponential growth following the Clausius–Clapeyron (C–C) equation which links the atmosphere water vapor saturation pressure with air temperature. However, a number of recent studies based on station and reanalyzes data for the contemporary period showed that scaling rates between extreme precipitation and temperature strongly depend on temperature range, moisture availability, and a region of interest. Being performed for some regions, such estimates, however, lack for Northern Eurasia, where prominent temperature changes and rapid shift from large-scale to convective precipitation are observed. Here, we examine the scaling between daily precipitation extremes and surface air temperature (SAT) over Russia for 1966–2017 using meteorological station data and for 1979–2020 using ERA5 reanalysis. The precipitation-temperature relation is examined for total precipitation and, separately, for convective and large-scale precipitation types. In winter, we reveal a general increase in extreme precipitation of all precipitation types according to the C–C relationship. For the Russian Far East region, the stratiform precipitation extremes scale with SAT following even super C–C rates, about two times as fast as C–C. However, in summer we find a peak-like structure of the precipitation-temperature scaling, especially for the convective precipitation in the southern regions. Extreme precipitation reaches their peak values at the temperature range between 15 °C and 20 °C. At higher temperatures, the negative scaling prevails. Analyzed data show a pronounced decrease in relative humidity with increasing surface temperatures beyond the 15 °C–20 °C threshold. This indicates that moisture availability is the major factor for the peak-shaped relationship between extreme precipitation and temperature revealed by our analysis.
All-cause mortality, cardiovascular mortality, major cardiovascular events and hypoglycaemia of patients with diabetes onset at an older age: results from the 10-year nationwide cohort study
Authors: Chou Ming-Yueh , Huang Shih-Tsung , Liang Chih-Kuang , Peng Li-Ning , Lin Yu-Te , Hsiao Fei-Yuan , Chen Liang-Kung 
Published: August 2021

Abstract

Background
Longitudinal adverse outcomes are unclear among adults with diabetes according to the age of onset.

Objective
To investigate the longitudinal diabetes-related outcomes in adults with new-onset diabetes stratified by age.

Design
Retrospective cohort study.

Setting
Taiwan National Health Insurance Research Database claims data from 2000 to 2015.

Subjects
In total, 115,751 participants aged ≥40 years with new-onset diabetes in 2003 were recruited and stratified by the ages 40–64 (64.3%), 65–74 (21.2%), 75–84 (11.8%) and ≥85 years (2.7%) at the time of diagnosis.

Methods
Time-varying multivariate Cox proportional hazards model adjusted for covariates was used to examine the associations between the ages of the patients at diabetes onset and the outcomes of interest [all-cause mortality, cardiovascular (CV) mortality, major cardiovascular events (MACE) and hypoglycaemia] during a 10-year follow-up period.

Results
The results showed that compared with those patients aged 40–64 at diagnosis, patients with older-onset diabetes had significantly higher comorbidities (P &lt; 0.01) and a higher diabetes severity (P &lt; 0.01). Patients with older-onset diabetes had a higher risk of all-cause mortality [adjusted hazard ratio (aHR) 2.28, 4.48 and 10.07 in 65–74, 75–84 and ≥85 years old, respectively], CV mortality (aHR = 2.82, 6.06 and 15.91), MACE (aHR = 2.19, 3.01 and 4.15) and hypoglycaemia (aHR = 2.41, 3.59 and 4.62) than patients aged 40–64 during a 10-year follow-up period.

Conclusions
Patients with diabetes onset at an older age was associated with increased risks of all-cause mortality, CV mortality, MACE and hypoglycaemia after adjusting for the severity of diabetes and anti-diabetic treatment.
A realist evaluation of loneliness interventions for older people
Authors: Day Alice , Phelps Kay , Maltby John , Palmer Emma , Snell Keith , Raine Derek , Conroy Simon 
Published: August 2021

Abstract

Introduction
the aim of this study was to develop a programme theory to inform the design of loneliness interventions and guide any future evaluations.

Methods
we undertook a mixed-method evaluation, informed by the realist approach, of different approaches to loneliness in one health and social care system in the East Midlands, UK. We used a combination of documentary analysis, interviews/focus groups with service providers and users and quantitative analysis to develop an initial programme theory.

Results
common aims of local interventions included enhancing social connectivity, providing emotional support and advice/information; recurring interventions included social activities, emotional support, advice and information, lunch clubs, learning new skills and practical support. None were robustly evaluated.
Fifty-six service user or providers were involved in interviews or focus groups, which highlighted the causes of loneliness, preferred services, access to services, thoughts about intervention configuration and desired outcomes from services.
The themes emerging from the interviews/focus groups from both service provider and service user perspectives were combined with all of the previous emerging data to create an overarching programme theory. Statements were constructed to allow service providers to think about which interventions might be useful to achieve specific outcomes in different contexts.

Conclusion
the causes and consequences of loneliness vary widely between individuals, so a personalised approach is required to identify the causes and potential solutions. This study provides some high-level principles that can help commissioners and providers to tailor interventions to the individual needs of service users.