Wear Studies on SiC and Fly Ash Reinforced Copper Based Composites by Grey Relational Analysis

2014 ◽  
Vol 984-985 ◽  
pp. 304-312 ◽  
Author(s):  
Ponnambalam Balamurugan ◽  
Marimuthu Uthayakumar
Keyword(s):  
Fly Ash ◽  
Grey Relational Analysis ◽  
Sliding Wear ◽  
Design Parameters ◽  
Dry Sliding Wear ◽  
Sliding Velocity ◽  
Relational Analysis ◽  
Pin On Disc ◽  
Hybrid Metal Matrix Composite ◽  
Grey Relational

Copper base composites are extensively used in applications where high temperature and corrosive environment. In the present investigation a hybrid metal matrix composite is prepared in which copper is used as a matrix, SiC and Fly ash as reinforcements. The composite is produced by powder metallurgy technique. Dry sliding wear characteristics of the prepared composite specimes were studied by pin on disc setup and optimised result was found through grey relational analysis. Analysis of variance is used to investigate the significance of design parameters which affect the wear characteristic of the materials. The results showed that sliding velocity is having the significant effect than the other parameters.

Taguchi Grey Relational Analysis of Dry Sliding Wear Behaviour of Annealed AA7075-TiC Metal Matrix Composites

2014 ◽  
Vol 541-542 ◽  
pp. 258-262 ◽  
Author(s):  
S. Baskaran ◽  
V. Anandakrishnan ◽  
Muthukannan Durai Selvam ◽  
S. Raghuraman ◽  
V.M. Illayaraja Muthaiyaa
Keyword(s):  
Wear Rate ◽  
Metal Matrix Composites ◽  
Grey Relational Analysis ◽  
Metal Matrix ◽  
Sliding Wear ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Matrix Composites ◽  
Relational Analysis ◽  
Grey Relational

The optimization of dry sliding wear process parameters of in-situ aluminium based metal matrix composites to obtain multiple objectives to minimize wear rate, specific wear rate, co-efficient of friction and maximize wear resistance was attempted by Taguchi Grey Relational Analysis. Moreover to identify the significance of the parameters, a statistical analysis was performed using analysis of variance. Based on the analysis, the sliding speed was identified as the major contributor with 71.41% followed by percentage of reinforcement with 8.13% and other parameters load and sliding distance are found to be insignificant. The optimum parameters identified by the Grey Relational Analysis are verified through experimental confirmation test.

Optimization in Dry Sliding Wear Test of Al 2219 – SiCp Composite Using Taguchi Based Grey Relational Analysis

2013 ◽  
Vol 446-447 ◽  
pp. 296-300
Author(s):  
R. Ganesh ◽  
Chandrasekaran Kesavan
Keyword(s):  
Process Parameters ◽  
Grey Relational Analysis ◽  
Sliding Wear ◽  
Wear Test ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Size Particle ◽  
Precipitation Temperature ◽  
Relational Analysis ◽  
Grey Relational

uminium metal matrix composites (AMMC) reinforced with SiC particulate are one of the familiar materials which are widely used in automobile, mining, etc. due to their superior properties such as high stiffness, low density, good corrosion resistance etc. this paper presents an effective approach for the optimization of process parameters during dry sliding wear test with multiple response characteristics based on Taguchis method with grey relational analysis. Taguchis L9orthogonal array has been used for experimentation. The process parameters such as weight fraction of reinforcement, precipitation temperature, load and disc speeds are optimized with multiple responses such as wear and coefficient of friction. Response tables, grey relational grade and ANOVA are used for the analysis and conclude that all the process parameters influence the wear performance of the composite at significant level but the level of influence differs significantly with respect to the size of the reinforcement particle in the composite. Precipitation temperature and disc speed have less influence for lower size particle whereas they become significant for higher size particle.

Dry Sliding Wear Behaviour of Magnesium nanocomposites using Response Surface Methodology

2021 ◽  
pp. 1-18
Author(s):  
Kartheesan S ◽  
B. Shahul hamid Khan ◽  
M Kamaraj ◽  
Manoj Gupta ◽  
Sravya Tekumalla
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sliding Wear ◽  
Wear Behaviour ◽  
Design Parameters ◽  
Dry Sliding Wear ◽  
Wear Loss ◽  
Sliding Velocity ◽  
Sliding Distance ◽  
Sliding Wear Behaviour

Abstract In this study, a pure magnesium material reinforced with 0.5, 1, 1.5, and 2 weight % of CaO was prepared through disintegrated melt deposition technique. Nanocomposites were investigated for their sliding wear behaviour in dry condition at room temperature. Amount of CaO, Load, sliding distance, and Sliding velocity were selected as input design parameters at their five-level in central composite design using Minitab 18.1 statistical software. The influence of design parameters on wear loss is reported through the Response Surface Methodology (RSM). ANOVA was used to confirm the soundness of the developed regression equation. The results indicate the contribution of linear, quadratic, and interaction terms of design parameters on response. 3D response surface and 2D contour plots are indicated the interaction effect. The result shows that an increase in sliding velocity contributes to a decrease in the wear loss of the composites because of the emergence of protective oxidative layer at the surfaces of the pins, which is confirmed through FESEM and EDAX analysis of the pin surfaces. Wear loss of the material decreased as amount of CaO increased. The ANOVA analysis concluded that the sliding distance and load contribute significantly to wear loss of the composites and their percentage of contribution is 64.02 % and 3.69%.

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).

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 Dry sliding wear performance of AA7075/MoS2 composite materials

2021 ◽  
Vol 9 ◽  
Author(s):  
R. Kousik Kumaar ◽  
◽  
K. Somasundara Vinoth ◽  
Kavitha M ◽  
◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Wear Rate ◽  
Response Surface ◽  
Sliding Wear ◽  
Specific Wear Rate ◽  
Dry Sliding Wear ◽  
Dry Sliding ◽  
Sliding Velocity ◽  
Molybdenum Disulphide ◽  
Pin On Disc

This article aims in exploring the dry sliding wear performances on the aluminum (AA7075) metal matrix composites reinforced with molybdenum disulphide which is a solid lubricant using response surface methodology (RSM). Specific Wear Rate (SWR) for the AA7075 pure alloy, AA7075+2wt% molybdenum disulphide and AA7075+4wt% molybdenum disulphide were measured according to ASTM G99 standards in pin-on-disc apparatus. Design of experiments was selected with changed parameters like the varying percentage of molybdenum disulphide (%), applied load (N), and sliding velocity (m/s) based on Central Composite Design in response surface methodology considering them as continuous factors. Experiments for the specific wear rate of pure alloy and the composites were conducted. The volume loss was measured using the pin-on-disc apparatus from which the specific wear rate value was calculated. The obtained results are analyzed and a mathematical model was formulated using the response surface methodology. The optimum level parameters for the specific wear rate has been identified and the results of the experiment specify that the sliding velocity and molybdenum disulphide percentage have a substantial role in controlling the wear behaviour of composites when compared with the other parameter. The optimum condition for the specific wear rate was identified and experimented with for studying the result.

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