scholarly journals Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite

Materials ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 1743 ◽  
Author(s):  
Prasanth Achuthamenon Sylajakumari ◽  
Ramesh Ramakrishnasamy ◽  
Gopalakrishnan Palaniappan
Keyword(s):  
Grey Relational Analysis ◽  
Applied Load ◽  
Dry Sliding Wear ◽  
Optimal Parameters ◽  
Sliding Speed ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Predominant Factor ◽  
Grey Relational ◽  
Sliding Distance

Co-continuous composites have potential in friction and braking applications due to their unique tribological characteristics. The present study involves Taguchi grey relational analysis-based optimization of wear parameters such as applied load, sliding speed and sliding distance, and their effect on dry sliding wear performance of AA6063/SiC co-continuous composite manufactured by gravity infiltration. A Taguchi L9 orthogonal array was designed and nine experimental runs were performed based on the designed experiments. The coefficient of wear and specific wear rate were recorded for each experiment. Based on the average responses computed from Taguchi grey relational analysis, an applied load of 60 N, sliding speed of 1 m/s and sliding distance of 1000 m were estimated to be the optimal parameters. An Analysis of Variance (ANOVA) was conducted to identify the predominant factor and established all the three factors as being significant. The sliding distance was found to have the highest significant influence of 61.05% on the wear of the C4 composite. Confirmation experiments conducted using the optimal parameters indicated an improvement of 35.25% in grey relational grade. Analysis of the worn surfaces of the confirmation experiment revealed adhesive and abrasive wear as the governing mechanisms.

scholarly journals Multi response parameters optimization of ZA-27 nanocomposites

2021 ◽  
Vol 46 (1) ◽  
pp. 11-18
Author(s):  
Sandra Gajević ◽  
Slavica Miladinović ◽  
Onur Güler ◽  
Hamdullah Çuvalcı ◽  
Nenad Miloradović ◽  
...  
Keyword(s):  
Grey Relational Analysis ◽  
Base Alloy ◽  
Optimal Combination ◽  
Parameters Optimization ◽  
Dry Sliding Wear ◽  
Al2o3 Nanoparticles ◽  
Sliding Speed ◽  
Relational Analysis ◽  
Reinforcement Content ◽  
Grey Relational

In this study, Taguchi-Grey relational analysis was used to investigate and optimize wear parameters such as sliding speed, reinforcement of Gr and reinforcement of Al2O3, and their effect on dry sliding wear performance of ZA-27 nanocomposites. Nanocomposites were synthesized via hot pressing process with pre-processing mechanical milling. Sixteen experimental tests were performed based on design of experiments which was created with the help of Taguchi L16 orthogonal array. Grey relational analysis (GRA) was applied for determination of optimal combination of parameters in order to improve tribological characteristics. Optimal combination of factors, obtained with Taguchi Grey relational analysis was sliding speed of 100 rpm, reinforcement content of 1 vol.% Gr and reinforcement content of 4 vol.% Al2O3. Validation of results was done by using Artificial Neural Network (ANN). Developed model had overall regression coefficient 0.99836, and output values showed good correlation with experimental results. Based on this research, it can be observed that nanocomposites with reinforcement of Gr and Al2O3 can be potentially employed in many industries as a good substitute for the base alloy. In addition, as a result of the analysis of the worn surfaces, it was determined that with the increase of the Al2O3 ratio, the hard Al2O3 nanoparticles turned the dominant wear mechanism into abrasive. Also, it was determined that the Gr nanoparticles appeared on the abrasive wear lines.

scholarly journals Wear Resistivity of Al7075/6wt.%Sic Composite by using Grey-Fuzzy Optimization Technique

2021 ◽  
Author(s):  
ABHIJIT BHOWMIK ◽  
Ajay Biswas
Keyword(s):  
Optimization Technique ◽  
Oxidation Stability ◽  
Fuzzy Optimization ◽  
Stir Casting ◽  
Dry Sliding Wear ◽  
Aluminium Matrix Composite ◽  
Sliding Speed ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Sliding Distance

Abstract Application of SiC particulate reinforcement impact greatly for making aluminium matrix composite because of its superb heat conductivity, oxidation stability and highly resistance to mechanical erosion. Present work based on dry sliding wear analysis of Al7075/6wt.%SiC composite fabricated by liquid state stir casting method. To acquire a productive wear rate, three major process parameters viz. load, sliding speed and covering sliding distance were compared four different levels. ANOVA analysis showed that the probability rate of load is less than 0.05 that revealed their significant factor. From the study, the highest GRG and GFG values are found 0.914 and 0.854 respectively for the optimal operating parameters of 10 Newton load, 2 metre/second sliding speed and 500 metre sliding distance. Finally, it is revealed that the grey-fuzzy technique effectively authenticate the decision making of wear performance characteristics rather than a plain grey relational grade.

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.

Design optimization of micromixer with circular mixing chambers (M-CMC) using Taguchi-based grey relational analysis

2020 ◽  
Vol 18 (9) ◽  
Author(s):  
Ranjitsinha R. Gidde
Keyword(s):  
Grey Relational Analysis ◽  
Design Parameters ◽  
Relational Analysis ◽  
Mixing Dynamics ◽  
Depth Study ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Mixing Chambers ◽  
Optimal Set ◽  
Level Analysis

AbstractThe aim of the present study is to optimize the micromixer with circular mixing chambers (M-CMC) using Taguchi-based grey relational analysis approach. Simulations are performed to investigate the effect of design parameters viz. chamber diameter, transverse offset and width of constriction channel on performance characteristics for parameter sets corresponding to Orthogonal Array (OA) L9. Further, grey relational grade is used to identify the optimal set of design parameters. In depth study of flow and mixing dynamics are carried out to visualize the mixing mechanism for optimal and other two cases of proposed micromixer design configuration for Re in the range from 0.1 to 50. In order to assess the response of each design variable at each level, analysis of variance (ANOVA) is also performed to analyse influence of design parameters on mixing index and pressure drop.

scholarly journals Optimization for Tribological Properties of Glass Fiber-Reinforced PTFE Composites with Grey Relational Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Firojkhan Pathan ◽  
Hemant Gurav ◽  
Sonam Gujrathi
Keyword(s):  
Wear Rate ◽  
Glass Fiber ◽  
Coefficient Of Friction ◽  
Grey Relational Analysis ◽  
Filler Material ◽  
Optimal Input ◽  
Relational Analysis ◽  
Input Parameters ◽  
Grey Relational ◽  
Sliding Distance

Most recent history shows that polytetrafluoroethylene (PTFE) is widely used as antifrictional materials in industry for wide speed range. A high antifriction property of PTFE makes it suitable for dry friction bearing. Main disadvantage of using PTFE is its high wear rate, so extensive research had been carried out to improve the wear resistance with addition of filler material. This study focuses on four input parameters load, sliding speed, sliding distance, and percentage of glass fiber as a filler material. Taguchi method was used for experimentation; each parameter is having 3 levels with L27 orthogonal array. Grey relational analysis is used to convert multiple response parameters, namely, wear and coefficient of friction, into single grey relation grade. The optimal input parameters were selected based on the S/N ratio. It was observed that load 3 kg, sliding speed 5.1836 m/s (900 rpm), sliding distance 2 km, and 15% of glass fiber are optimal input parameters for PTFE without significantly affecting the wear rate and coefficient of friction.

Multiple Response Optimization with Grey Relational Analysis of Friction Stir Welding Parameters in Joining Dissimilar Aluminium Alloys by Taguchi Method

2014 ◽  
Vol 592-594 ◽  
pp. 555-559 ◽  
Author(s):  
S. Ravikumar ◽  
V. Seshagiri Rao ◽  
V. Pranesh
Keyword(s):  
Grey Relational Analysis ◽  
Aluminium Alloys ◽  
Welding Process ◽  
Welding Parameters ◽  
Friction Stir ◽  
Relational Analysis ◽  
Novel Approach ◽  
Grey Relational Grade ◽  
Response Optimization ◽  
Grey Relational

This paper presents a novel approach for the optimization of welding parameters on dissimilar friction stir welded joints between AA6061T-651 and AA7075T-651 aluminium alloys with multiple responses based on orthogonal array by grey relational analysis. Experiments are conducted by varying the welding parameters related to three pin profiles. In this study, welding parameters namely rotational speed, welding speed and pin profiles are optimized with the considerations of multi responses such as ultimate tensile strength and hardness. A grey relational grade is obtained from the grey analysis. Based on the grey relational grade, optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA (Analysis of Variance). Confirmation test is conducted to validate the test result. Experimental results have shown that the responses in welding process can be improved effectively through this novel approach.

The Grey Relational Analysis between Industrial Structure and Water Resource Consumption in Jing-Jin-Ji Region of China

2013 ◽  
Vol 726-731 ◽  
pp. 3521-3525 ◽  
Author(s):  
Zhi Wei Xu
Keyword(s):  
Water Resource ◽  
Grey Relational Analysis ◽  
Water Resource Management ◽  
Industrial Structure ◽  
Resource Consumption ◽  
Relational Analysis ◽  
Basic Work ◽  
Grey Relational Grade ◽  
Secondary Industry ◽  
Grey Relational

Jing-Jin-Ji region of China is facing a contradiction between economic development and water resource shortage. The basic work to strengthen water resource management is finding out what the relation between industrial structure and water resource consumption is. The article measures the correlation by the grey relational analysis. The result is that Hebei province has a lowest grey relational grade in primary industry. Tianjin and Beijing has a relatively weak correlation in secondary industry and tertiary industry separately. The conclusion provides a direction for water resource optimization and cooperation within the region.

Measuring Governance

2017 ◽  
pp. 104-128
Author(s):  
Vesna Jankovic-Milic ◽  
Marija Džunić
Keyword(s):  
World Bank ◽  
Grey Relational Analysis ◽  
Analysis Procedure ◽  
Eu Countries ◽  
Relational Analysis ◽  
Governance Indicators ◽  
Grey Relational Grade ◽  
Governance Quality ◽  
World Governance Indicators ◽  
Grey Relational

The governance concept has become very popular in recent decades and in this regard has increased interest in measuring its quality. The most widely used measures of governance are World Governance Indicators, which represent composite perceptions-based indicators, published by World Bank Institute. There are six composite indicators and the data for constructing those indicators are obtained from 32 individual data sources. The objective of this chapter is to highlight the applicability of Grey Relational Analysis in the ranking of EU countries according to the governance quality. The Grey Relational Analysis entails calculation of Grey relational grade for governance quality. The final stage of the Grey Relational Analysis procedure involves ranking of EU countries according to Grey relational grade and their comparison with ranks obtained from World Bank Institute. The full contribution of Grey Relational Analysis arises on this stage, where ranks of countries have been changed.

Research on the Application of Weighted Grey Relational Analysis on the Failure Diagnosis of Complicated Electronic Equipment

2013 ◽  
Vol 333-335 ◽  
pp. 1543-1547
Author(s):  
Hong Yan Zhao ◽  
Jun Zhang ◽  
Guo Ping Hu ◽  
Jian Qiang Zhang
Keyword(s):  
Failure Mode ◽  
Grey Relational Analysis ◽  
Failure Diagnosis ◽  
Reference Sequence ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Diagnosis Method ◽  
Diagnosis Accuracy ◽  
The Individual ◽  
Grey Relational

Based on weighted grey relational analysis, a new failure diagnosis method for complicated electronic equipments is proposed. First, according to the typical failure samples and weight values to construct grey reference sequence. Secondly, calculating the individual relational coefficient and grade to form grey relational grade sequence. Finally, according to the maximal grey relational grade to choose the corresponding failure mode as the finally diagnosis result. The results of analyses show that the proposed method has higher diagnosis accuracy and reliability than the traditional grey relational method.

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