Grey Relational Analysis and its C# Program in Analysis of Rigid Polyurethane Foam

2014 ◽  
Vol 1061-1062 ◽  
pp. 1167-1170
Author(s):  
Xiao Gang Zhao ◽  
Yi Zhou ◽  
Jian Yu Zhao ◽  
Xiao Yuan Yang ◽  
Xing Zheng
Keyword(s):  
Polyurethane Foam ◽  
Grey Relational Analysis ◽  
Heat Insulation ◽  
Impact Factors ◽  
Insulation Material ◽  
Rigid Polyurethane Foam ◽  
Relational Analysis ◽  
C Program ◽  
Grey Relational ◽  
The Impact

With the rapid development of petroleum industry in China, the electrical heat tracing becomes very important for viscous oil transportation, while the heat insulation acts as the key to the application of electrical heat tracing. Rigid polyurethane foam has been widely used in long-distance pipelines for its advantages as the heat insulation material. However, there is also a lack of systematic analysis on the impact factors of such material, thus it is urgent to find out a practical method to distinguish the major impact factors. This paper introduces the Grey Relational Analysis (GRA) with its C# program, and it is proposed to analyze the actual impact factors of rigid polyurethane foam. The application shows that this method is practical, simple, rapid and accurate, so it suitable for similar applications in other fields.

Research on Impact Factors of Thermal Insulation Material Based on Grey Relational Analysis

2011 ◽  
Vol 328-330 ◽  
pp. 1377-1380 ◽  
Author(s):  
Xiao Gang Zhao ◽  
Yi Zhou ◽  
Shi Xiang Pan
Keyword(s):  
Polyurethane Foam ◽  
Thermal Insulation ◽  
Field Experiments ◽  
Impact Factors ◽  
Insulation Material ◽  
Rigid Polyurethane Foam ◽  
Relational Analysis ◽  
Grey Relational ◽  
Insulation Quality

According to application of thermal insulation materials in the practical construction of electrical heat tracing in viscous oil pipeline, impact factors of rigid polyurethane foam widely used as new insulation material are systemically analyzed by Grey Relational Analysis (GRA) in the theory of Grey System to find out priorities among those factors. To further study their performances and to improve the quality of constructions, ten field experiments were carried out in Tanggula Mountain. The foaming conditions and the performances of the rigid polyurethane foam were recorded to be analyzed by GRA. The analysis results, acting as scientific guidance for construction, show that the insulation quality of rigid polyurethane foam is mainly determined by the ratio of components, thus the priority is to control such dominant factor and overall consideration of other factors should be taken to ensure insulation quality in the foaming process. More field experiments prove that the ratio should be controlled between 1.15 and 1.18 to ensure the thermal insulation.

Development of Microwave Hybrid Heating Welded Joints of Inconel-600 Superalloys using Grey Relational Analysis

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Ravish Arora ◽  
Jatinder Kapoor ◽  
Rakesh Chandimal Sharma
Keyword(s):  
Grey Relational Analysis ◽  
High Strength ◽  
High Wear Resistance ◽  
Powder Particle Size ◽  
Hybrid Heating ◽  
Inconel 600 ◽  
Relational Analysis ◽  
Microwave Hybrid Heating ◽  
Grey Relational ◽  
The Impact

Inconel-600 superalloys have a number of applications in space and aerospace sector due to its unique characteristics of high strength at elevated temperature, low weight, corrosion resistance and high wear resistance. However, due to these characteristics, Inconel-600 superalloy poses challenges in joining. Therefore, an attempt has been made to resolve these issues using microwave hybrid heating (MHH). The characteristics of the constituents of MHH process have large impact on the welded joint’s strength. This paper examines the impact of control parameters on the ultimate tensile strength (UTS) and percentage elongation (EL) of Inconel-600 plates, which are welded via MHH. Design of experiments was carried out in accordance with Taguchi L16 orthogonal array (OA), taking in consideration of filler powder particle size (FPS), susceptor and separator. Multi-performance features were optimized via the effective utilization of Taguchi-based grey relational analysis (GRA) approach. ANOVA results show that the predominating factor to govern the joint strength is FPS followed by the susceptor and separator. The validation experiments are performed on the predicted optimized setting of process parameters. First level of FPS (30μm), second level of susceptor (Graphite) and second level of separator (SiC) were found as the optimized parametric settings.

scholarly journals The Impact of Air Quality on Inbound Tourist Arrivals over China Based on Grey Relational Analysis

2021 ◽  
Vol 13 (19) ◽  
pp. 10972
Author(s):  
Wei Zhang ◽  
Ziqiang Liu ◽  
Yujie Zhang ◽  
Elly Yaluk ◽  
Li Li
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Indicators ◽  
Grey Relational Analysis ◽  
Pollution Index ◽  
Ambient Air ◽  
Relational Analysis ◽  
Grey Relational ◽  
The Impact ◽  
Relational Order

Air pollution has a significant impact on tourism; however, research in this area is still limited. In this study, we applied grey relational analysis to panel data from 31 provinces in China and evaluated the relationship between air quality and inbound tourist arrivals. The study focused on provincial-level disparities for the different key air quality evaluation standards during 2009–2012 and 2013–2019. For instance, we considered PM10, SO2, NO2 and the excellent and good ratings of Air Pollution Index (API) during 2009–2012 and the additional PM2.5, CO, O3 and the excellent and good ratings of Air Quality Index (AQI) from 2013 to 2019. Results indicate that: (1) Inbound tourist arrivals are significantly and positively affected by ambient air quality, and the impact from 2013 to 2019 was greater than that from 2009 to 2012; (2) there is regional diversity in inbound tourist arrivals, and the impact of the different air quality indicators varies; (3) inbound tourists showed greater sensitivity to air pollution under the AQI standard; (4) the impact of air quality indicators on the inbound tourist arrivals shows grey relational order, and the concentration of PM2.5, PM10 and SO2 have less impact than NO2, CO and O3 on changes in tourism numbers; (5) consistency in the air quality impact on foreign tourists and compatriot tourists from HK, MO and TW varies by air quality indicators. This study highlights the need for appropriate measures to improve air quality for high-quality and sustainable development of inbound tourism.

Optimization of Material Removal Rate and Surface Roughness for Wire Electric Discharge Machining of AA7075 Composites using Grey Relational Analysis

2018 ◽  
Vol 9 (5) ◽  
Author(s):  
G. Ramanan ◽  
J. Edwin Raja Dhas ◽  
M. Ramachandran
Keyword(s):  
Surface Roughness ◽  
Electric Discharge ◽  
Grey Relational Analysis ◽  
Removal Rate ◽  
Electric Discharge Machining ◽  
Relational Analysis ◽  
Wire Electric Discharge Machining ◽  
Grey Relational ◽  
Pulse On Time ◽  
The Impact

In automobile industries, usage of unconventional machining is increased due to their precision and accuracy. This research work is planned to upgrade the Wire Electric Discharge Machining (WEDM) process parameters by considering the impact of discharge current, pulse on time, pulse off time and servo speed rate. Tests have been led with these parameters for the measurement of metal removal rate and surface roughness for each of the trial run. This information has been used to fit a quadratic numerical model. Predicted information has been used as a graphical representation for demonstrating the impact of the parameters on chose reactions. Predicted information given by the models has been utilized as a part of an ideal parametric mix to accomplish the unrealistic yield of the procedure. Response surface method with grey relational analysis has been utilized for enhancement. The ideal value has been checked to the predicted value from the confirmation tests.

Optimization of high-speed turning parameters for Inconel 713C based on Taguchi grey relational analysis

2019 ◽  
Vol 43 (3) ◽  
pp. 416-430
Author(s):  
V. Parthiban ◽  
S. Vijayakumar ◽  
M. Sakthivel
Keyword(s):  
Surface Roughness ◽  
Grey Relational Analysis ◽  
Feed Rate ◽  
High Speed ◽  
Cutting Speed ◽  
High Speed Turning ◽  
Relational Analysis ◽  
Inconel 713C ◽  
Grey Relational ◽  
The Impact

In this work, a propelled dynamic approach, Taguchi grey relational analysis has been employed to estimate the impact of untreated and cryogenically treated and oil-quenched WC-Co tools in high-speed turning of Inconel 713C alloy on cutting force and surface roughness. Taguchi grey relational analysis is executed to maximize the high-speed turning of Inconel 713C alloy taking into account various operating parameters (cutting speed, feed rate, and depth of cut). The L27 orthogonal array has been utilized to determine the signal-to-noise ratio. Analysis of variance was performed to recognize the large number of components influencing surface roughness. The numerical examination showed that feed rate, with percentages as high as 95%, had the most predominant impact on machining performance, followed by cutting speed for untreated and treated WC-Co tools.

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