scholarly journals Study on the Extraction Simulation of the Cylindrical Features

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Zexiang Zhao ◽  
Dongxu Ren ◽  
Xinyu Zhao ◽  
Bin Li ◽  
Ruyi Liu
Keyword(s):  
Influence Factors ◽  
Simulation Models ◽  
Simulation Method ◽  
Precision Manufacturing ◽  
Form Errors ◽  
Form Tolerance ◽  
Precision Machine Tools ◽  
The Relationship ◽  
Size Tolerance ◽  
Main Influence

The extraction simulation method and theory of cylindrical components were promoted in this paper. According to the manufacturing principle of the cylindrical components, the main influence factors of their precision manufacturing were analyzed, and their extraction models of cylindrical features were built under the analysis of the errors of the slideway and the spindle as well as the parallelism error between the slideway and the spindle rotary axis. The determination principle of modeling parameters of cylindrical features was studied. According to the extraction strategies of the roundness profiles, generatrix profiles, birdcage profile, and single spiral profile, some cylindrical features were simulated by using the established models, and their corresponding global sizes, calculated sizes, and form errors were evaluated and compared. The simulation experiments showed that the simulation models can meet the needs for the research of the relationship among the size tolerance, the form tolerance, the waviness, and the roughness, and can be taken as the theoretic base for the error budgets of the slideway and the rotation spindle in the design of precision machine tools.

Research on the Main Influence Factors of SCR DeNOx for Glass Furnace Glue Gas

2013 ◽  
Vol 864-867 ◽  
pp. 1556-1559
Author(s):  
Shao Hua Ling ◽  
Chang Yong Jing ◽  
Xiao Liang Li
Keyword(s):  
Glass Furnace ◽  
Reaction Temperature ◽  
Flue Gas ◽  
Influence Factors ◽  
Space Velocity ◽  
Test Device ◽  
Factors Affecting ◽  
The Relationship ◽  
Main Influence ◽  
Denox Efficiency

By SCR test device to study the main factors affecting the SCR DeNOx efficiency of flue gas for glass furnace,and analyzes the relationship between the main parameters and DeNOx efficiency, such as the reaction temperature, NH3/NOx, initial concentration of NOx, and space velocity.In the actual flue gas conditions of glass furnace,there was an optimum working range for the SCR test device. The reaction temperature is 340~400°C,NH3/NOx is 0.9~1.0,space velocity is 4000~5000 h-1. In this condition, the DeNOx efficiency can reach 80%.

Research of the Main Influence Factors of Fly Ash Thermal Insulation Material

2010 ◽  
Vol 156-157 ◽  
pp. 839-843
Author(s):  
Jin Xia Zhang ◽  
Yi Miao Nie ◽  
Shi Chao Li ◽  
Fu Sheng Niu
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Thermal Insulation ◽  
Influence Factors ◽  
Raw Material ◽  
Insulation Material ◽  
Thermal Insulation Material ◽  
Solid Liquid ◽  
The Relationship ◽  
Main Influence

By using fly ash as raw material to prepare thermal insulation material in this research. The relationship between the compressive strength and the influence factors was systematically discussed. The compressive strength of the samples reached max when the dosage of silica fume was 5%, sodium hydroxide 40%,the solid-liquid ratio was 0.75 and the content of foam was 4%. The experimental results provided a good basis for manufacturing the thermal insulation material and improving its property.

Research on the Overlying Strata and Grouting Range Structural Mechanics Model of Abscission Layer Grouting

2012 ◽  
Vol 608-609 ◽  
pp. 1801-1804
Author(s):  
Wen Yu Lv ◽  
Zhi Hui Zhang
Keyword(s):  
Mine Waste ◽  
Influence Factors ◽  
Structural Mechanics ◽  
Abscission Layer ◽  
Filling Materials ◽  
Mechanics Model ◽  
Surface Subsidence Control ◽  
The Relationship ◽  
Main Influence ◽  
Overlying Strata

Abscission layer grouting is a new filling technology of surface subsidence control, it can protect environment because of using mine waste as filling materials, The paper establishes the overlying strata structural mechanics model of abscission layer grouting, it analyzes the main influence factors of overlying strata abscission layer development and the relationship between overlying strata structure and abscission layer, it also establishes and studies the grouting range structural mechanics model of abscission layer grouting.

Evaluation and Prediction for Thermal-Wet Comfort Properties of Knitting Fabrics Based on Neural Network

2011 ◽  
Vol 187 ◽  
pp. 448-451 ◽  
Author(s):  
Jin Li ◽  
Qian Liu ◽  
Li Bin Xia
Keyword(s):  
Neural Network ◽  
Thermal Resistance ◽  
Water Vapour ◽  
Influence Factors ◽  
Physical Property ◽  
Principal Component ◽  
The Neural Network ◽  
Water Vapour Resistance ◽  
The Relationship ◽  
Main Influence

. This paper studied the relationship between knitting fabrics and human comfort from two facets: thermal resistance and water-vapour resistance. The possible physical property indexes to affect thermal-wet comfort were tested, and analyzed by principal component analysis to find the main influence factors. These main influence factors acted as input values of neural network, while thermal resistance and water-vapour resistance acted as output values. The neural network was established and predicted after training. The result showed a considerable relativity. So there had certain accuracy and practical value with neural network model to predict thermal-wet comfort properties of knitting fabrics.

Analysis about Main Influence Factors of Vehicle's Fuel Consumption

2013 ◽  
Vol 724-725 ◽  
pp. 941-945
Author(s):  
Bo Peng ◽  
Song Lin Ma
Keyword(s):  
Environmental Protection ◽  
Fuel Consumption ◽  
Influence Factors ◽  
Reduce Fuel Consumption ◽  
Ecological Civilization ◽  
Highway Design ◽  
Driving Speed ◽  
Longitudinal Slope ◽  
The Relationship ◽  
Main Influence

The construction of ecological civilization is attracting more and more attention. Fuel consumption has greater research value as an important factor in the field of environmental protection and energy saving. Existing analysis about the influence factors of fuel consumption is mostly finished in the 1990s and the beginning of this century, with experiment vehicles and highway at that time, so they may not be suitable for the present. Direct measurement of fuel consumption is finished with actual transportation vehicles in highway and nature state of driving. Analysing the relationship between fuel consumption and speed, longitudinal slope and other main influence factors, put forward measures in highway design, driving speed and other parts to reduce fuel consumption. It is significant for realize energy conservation and environmental protection in traffic.

NUMERICAL STUDY ON BONDING OF PMMA NANOCHANNELS

2020 ◽  
Vol 27 (09) ◽  
pp. 1950213
Author(s):  
XUE YANG ◽  
KAI CHEN ◽  
ZHIFU YIN ◽  
HELIN ZOU ◽  
TENGFEI YU
Keyword(s):  
Numerical Simulation ◽  
Friction Coefficient ◽  
Aspect Ratio ◽  
Numerical Study ◽  
Process Analysis ◽  
Influence Factors ◽  
Simulation Method ◽  
Bonding Process ◽  
Influence Of Temperature ◽  
Main Influence

Polymethyl Methacrylate (PMMA) nanochannels are becoming increasingly important for biological, optical and electronic applications. To form a complete PMMA nanochannel/device, the open nanotrench will always be thermal bonded. However, the bonding process which influences the final fabrication precision of PMMA devices has not yet been studied systematically by numerical simulation. In this work, an elastic–plastic model was used for PMMA nanochannel bonding. The influence of temperature, pressure, aspect ratio, and friction coefficient on the dimension loss and max stress was studied systematically. By numerical simulation, all the main influence factors were optimized. It is expected that the proposed simulation method has a high potential for the polymer bonding process analysis.

Influence factors and process stages of knowledge transfer between NPD teams

2014 ◽  
Vol 31 (3) ◽  
pp. 222-237 ◽  
Author(s):  
Alejandro Germán Frank ◽  
José Luis Duarte Ribeiro
Keyword(s):  
Knowledge Transfer ◽  
New Product Development ◽  
Influence Factors ◽  
Content Type ◽  
Practical Applications ◽  
Proposed Model ◽  
Relationship Model ◽  
Relationship Of ◽  
The Relationship ◽  
Main Influence

Purpose – This paper aims to present a model that maps the relationship between factors and process stages of the knowledge transfer (KT) between new product development (NPD) teams. Design/methodology/approach – The model was constructed through a quantitative evaluation with scholars and practitioners of the NPD field. To evaluate the model and its usefulness, a practical application was carried out in two large Brazilian companies. Findings – A relationship model between 16 main influence factors and 11 stages of the KT process was obtained. It could be seen through the practical applications that the model helps companies to identify and prioritize improvement opportunities in the KT between NPD teams. Research limitations/implications – Prior studies had been concerned with the analysis of KT factors, but considering KT as an isolated act. So, this work has advanced in the deployment of the KT stages and the relationship of those with different influence factors. Practical implications – This paper brings an important practical contribution, once several academic works have been concerned with to demonstrate relationships among factors, but few have shown how these results could help to solve practical issues observed in companies. Originality/value – Results presented in this paper enable the extension of comprehension about the KT phenomena in the NPD process. Furthermore, this paper shows how the proposed model can be used as a decision tool to guide a diagnosis and detect improvement opportunities in KT between NPD teams.

scholarly journals An Optimization Method for the Main Influence Factors on the Performance of Aerostatic Spindle

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dongju Chen ◽  
You Zhao ◽  
Ri Pan ◽  
Jinwei Fan
Keyword(s):  
Load Capacity ◽  
Influence Factors ◽  
Optimization Method ◽  
Precision Machining ◽  
Factors Affecting ◽  
Cross Correlation Analysis ◽  
Optimization Function ◽  
Aerostatic Spindle ◽  
The Relationship ◽  
Main Influence

This paper proposes a novel optimization method to improve the performance of aerostatic spindle. The optimization process is based on the main factors affecting the load and stiffness of aerostatic spindle, which are determined by cross-correlation analysis. The maximum values of load capacity and stiffness are obtained from the relationship between the optimization function and the main influence factors. After optimization, the corresponding natural frequency has been improved, which indicates that the optimization method proposed in this paper is more efficient and reliable in the field of precision machining. The results will enforce the industrial application of aerostatic spindle system.

Research on Influence Factors of Carbon Emissions and Forecast in Hebei Province

2013 ◽  
Vol 807-809 ◽  
pp. 790-794 ◽  
Author(s):  
Hui Ning Zhao ◽  
Wei Yang Yu
Keyword(s):  
Carbon Emissions ◽  
Influence Factors ◽  
Regression Equation ◽  
Hebei Province ◽  
Energy Structure ◽  
Energy Price ◽  
Secondary Industry ◽  
The Relationship ◽  
Simple Regression ◽  
Main Influence

This paper determines population, GDP, the proportion of secondary industry, energy structure, science and technology progress and energy price as the main influence factors on carbon emissions according to the scholars research results. To analysis the relationship between carbon emissions and influence factors, multi-regression equation of carbon emissions and influence factors is established based on the data of Hebei Province from 1995 to 2010. According to the data of influence factors of carbon emissions from 1995 to 2010, the paper respectively establishes each simple regression equation and forecasts its future values. Based on the predictive value of influence factors and multi-regression equation, the paper forecasts the carbon emissions and the carbon emissions of the reducing of the proportion of secondary industry in different circumstances . The conclusions can offer the decision basis for reducing carbon emissions.

scholarly journals Evolution of Internal Stress in Heterogeneous Electrode Composite during the Drying Process

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1683
Author(s):  
Zuoquan Zhu ◽  
Yaolong He ◽  
Hongjiu Hu ◽  
Fangzhou Zhang
Keyword(s):  
Internal Stress ◽  
Vinylidene Fluoride ◽  
Influence Factors ◽  
Lithium Ion ◽  
Integrated Analysis ◽  
Drying Time ◽  
Component Distribution ◽  
Poly Vinylidene Fluoride ◽  
Inactive Ingredients ◽  
Main Influence

The mechanical behavior of electrode composite during the drying preparation has played a crucial role in the electrochemical performance of lithium-ion batteries (LIBs). Our work aimed at developing an integrated analysis method to study the component distribution, mechanical properties, and internal stress of composite coating in the process of electrode drying. The main influence factors of drying stress were thoroughly investigated. It was found that this present model could capture not only the heterogeneity effect of inactive ingredients but also the porosity-dependent viscoelasticity of electrode composite. Meanwhile, the calculated effective modulus and stress evolution upon drying time were in acceptable accord with the experimental data. Furthermore, the rapid solidification markedly increased the drying stress in electrodes and significantly impaired the tensile strength of electrode composite due to the highly gradient distributed constituents. However, the stress level at high drying temperature could be significantly reduced by an aqueous sodium alginate binder instead of poly(vinylidene fluoride). The obtained results will be a great help in efficiently manufacturing LIB electrodes with adequate mechanical integrity.

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