Analysis of Influencing Factors on Mine Gas Emissions Based on Grey Correlation

2013 ◽  
Vol 756-759 ◽  
pp. 4525-4528
Author(s):  
Xiao Yan Tang ◽  
Liu Ke ◽  
Pei Yun Wang
Keyword(s):  
Statistical Data ◽  
Analysis Method ◽  
Gas Emission ◽  
Gas Emissions ◽  
Relational Analysis ◽  
Control Factors ◽  
Relational Degree ◽  
The Index System ◽  
Mine Gas ◽  
Grey Relational

Statistical analysis for the data of HC mine gas emission rate by using grey relational analysis method, the index system effecting on mine gas emission factors are established with the method and the relational degrees between the factors and mine gas emissions are analyzed. The main factors effecting on mine gas emission are determined based on the size of relational degree by the quantitative analysis. The results show that the method is simple, and provides more flexibility to comprehensive analysis of the statistical data, and overcome the shortcomings of a different dimension data can not find regular. Its useful to find the main control factors effecting on mine gas emission.

Appliance on Evaluation of Type Selection for Agricultural Machinery Based on Grey Relational Analysis Method

2011 ◽  
Vol 55-57 ◽  
pp. 988-991 ◽  
Author(s):  
Yan Xie ◽  
Mu Li
Keyword(s):  
Grey Relational Analysis ◽  
Analysis Method ◽  
Agricultural Machinery ◽  
Analysis Model ◽  
Relational Analysis ◽  
Type Selection ◽  
The Index System ◽  
Selection For ◽  
Grey Relational ◽  
Optimal Type

The type selection for agricultural machinery generally depends on the selector’s experiences at the present time. It exist some subjectivity and one-sidedness unavoidably. On the basis of the characteristics of complexity and the uncertainty of optimal selection for agricultural machinery, grey relational analysis model in agricultural machinery multi-type selection application has been put forward in this paper. The index system of influencing agricultural machinery type selection is determined. Application model and procedures of the grey relational analysis method are introduced. According to the degree how close it is with the ideal dot, the optimal type is easy to be selected out. Through the optimization analysis type selection for the agricultural transporter, it is proved that the optimal type selection for agricultural machinery based on grey relational analysis has the strong recognition judgment ability. It is convenient, quantitative, and strict. It provided a new method and a possible new way for evaluation of agricultural machinery type selecting．

Evaluation and Optimization of Research Projects Based on Grey Relational Analysis Method

2012 ◽  
Vol 155-156 ◽  
pp. 1045-1049 ◽  
Author(s):  
Mu Li ◽  
Jia Jie Wang ◽  
Jing Yi Wang
Keyword(s):  
Grey Relational Analysis ◽  
Research Management ◽  
Research Projects ◽  
Analysis Method ◽  
Analysis Model ◽  
Optimization Analysis ◽  
Relational Analysis ◽  
The Index System ◽  
Selection For ◽  
Grey Relational

Research project evaluation is an important part of research management, and there is no unified approach to evaluate research projects．On the basis of the characteristics of complexity and the uncertainty of optimal selection for research projects, grey relational analysis model in research projects selection application has been put forward in this paper. The index system of influencing research projects selection is determined. Application model and procedures of the grey relational analysis method are introduced. According to the degree how close it is with the ideal dot, the optimal project is easy to be selected out. Through the optimization analysis projects selection for research projects, it is proved that the optimal project selection for research projects based on grey relational analysis has the strong recognition judgment ability. It is convenient, quantitative, and strict. It provided a possible new way for evaluation of research projects selecting．

scholarly journals Multi Performance Optimizationof Shoulder Milling Process Parameters of AA6063 T6 Aluminium Alloy by Taguchi Based GRA

2019 ◽  
Vol 8 (10S) ◽  
pp. 420-425
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Removal Rate ◽  
Analysis Data ◽  
Milling Process ◽  
Depth Of Cut ◽  
Analysis Method ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Grey Relational

In this paper, a grey relational analysis method based on Taguchi is proposed to improve the multi-performance characteristics of VMC shoulder milling process parameters in the processing of AA6063 T6. Taking into account four process parameters such as coolant, depth of cut,speed and feed, there are three level of each process parameter in addition to two levels of coolant. 18 experiments were used by L18 orthogonal array using the taguchi method. Multi-performance features like surface roughness and material removal rate are used. Grey Relational Analysis method is used to obtain the Grey Relational Grade, and the multiperformance characteristics of the process are pointed out. Then, the Taguchi response table method and ANOVA are used to analysis data. In order to ensure the validity of the test results, a confirmation test was conducted. The study also shows that this method can effectively improve the multi-function characteristics of shoulder milling process.In his work microstructure and mechanical properties of AA6063 T6before and after shoulder milling have been investigated.

Selection of Molybdenum-Filled Hip Implant Material Using Grey Relational Analysis Method

2018 ◽  
pp. 675-692 ◽  
Author(s):  
Amit Aherwar ◽  
Amit Singh ◽  
Amar Patnaik ◽  
Deepak Unune
Keyword(s):  
Grey Relational Analysis ◽  
Testing Machine ◽  
Base Material ◽  
Analysis Method ◽  
Wear Properties ◽  
Hardness Tester ◽  
Relational Analysis ◽  
Implant Material ◽  
Pin On Disc ◽  
Grey Relational

In this study, a series of implant material containing molybdenum of different weight percentages were fabricated via high temperature vertical vacuum casting induction furnace and examined their physical, mechanical and wear properties. The mechanical properties were tested by the micro-hardness tester and the compression testing machine, while the wear performance was analyzed through a pin-on-disc tribometer under different operating conditions at room temperature. Density, hardness, compressive strength and sliding wear were considered as criterions for this study. The proportions of alternatives consist of Co-30Cr as a base material and molybdenum as an alloying element which was varied from 0 to 4wt.%. Due to the conflict between the properties obtained, the Grey relational analysis method (GRA) was applied to choose the best material among the set of alternatives. From the results obtained, it was found that Co-30Cr implant material containing 4wt.%molybdenum provides the best combination of the properties for a given application (i.e. hip femoral head).

Disturbing Load Classification Based on the Grey Relational Analysis Method and Load Performance Index

2019 ◽  
Vol 31 (1) ◽  
pp. 141-152
Author(s):  
Alexandre C. Moreira ◽  
Wesley A. de Souza ◽  
Bruna R. P. Conrado ◽  
Helmo K. Morales-Paredes
Keyword(s):  
Grey Relational Analysis ◽  
Performance Index ◽  
Analysis Method ◽  
Relational Analysis ◽  
Grey Relational

Design for Product Adaptability

2007 ◽  
Author(s):  
Y. Li ◽  
D. Xue ◽  
P. Gu
Keyword(s):  
Life Cycle ◽  
Grey Relational Analysis ◽  
Design Approach ◽  
Analysis Method ◽  
Adaptable Design ◽  
Evaluation Measures ◽  
Relational Analysis ◽  
Design Paradigm ◽  
Grey Relational

Adaptable design is a new design paradigm to create designs and products that can be easily changed to satisfy different requirements. Adaptable design aims at identifying the designs and products considering functionality, manufacturing efforts, customization and environment friendliness. This research focuses on adaptable design considering product adaptability. In this work, product adaptability is evaluated by three measures including extendibility of functions, upgradeability of modules, and customizability of components. Various design candidates created in adaptable design are evaluated by different life-cycle evaluation measures including product adaptability of design, part and assembly costs of manufacturing, and operationability by customers. Since different evaluation measures are modeled in different units, the grey relational analysis method is employed to integrate the different evaluation measures for prioritizing different design candidates. A case study is given to demonstrate the effectiveness of the introduced adaptable design approach.

Modeling and multi response optimization of mechanical properties for E-glass/polyester composite using Taguchi-grey relational analysis

2020 ◽  
pp. 095440892096259
Author(s):  
Phaneendra Kumar Kopparthi ◽  
Vengal Rao Kundavarapu ◽  
Venkata Rao Kaki ◽  
Bhaskara Rao Pathakokila
Keyword(s):  
Mechanical Properties ◽  
Grey Relational Analysis ◽  
Composite Laminates ◽  
Injection Pressure ◽  
Relational Analysis ◽  
Control Factors ◽  
Resin Injection ◽  
Polyester Composite ◽  
Response Optimization ◽  
Grey Relational

In the present work, E-glass/polyester composite laminates were manufactured in a customized resin transfer mould (RTM) with different layers of fiber at selected resin injection pressures. Experiments were performed employing full factorial design to study the influence of number of fiber layers and resin injection pressure on mechanical properties of the composites. Analysis of variance was implemented to study the interaction effect of process parameters on multi-responses namely tensile, flexural and impact strengths. Taguchi method based grey relational analysis was used to determine optimal control factors for the responses. Numbers of fiber layers and the injection pressure have significance with respective 73.96% and 16.57% contributions on the grey relation grades of the three responses. An optimal working condition was suggested to produce quality composite. In addition, mathematical models for the mechanical properties were also developed using the experimental results.

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