scholarly journals Friction and Wear Performance of Brake Pad and Optimization of Manufacturing Parameters using Grey Relational Analysis

2022 ◽  
Vol 35 (3) ◽  
pp. 552-559
Keyword(s):  
Grey Relational Analysis ◽  
Friction And Wear ◽  
Brake Pad ◽  
Wear Performance ◽  
Relational Analysis ◽  
Grey Relational ◽  
Manufacturing Parameters

scholarly journals Tribological Properties of Friction Materials Developed from Non- Asbestos Materials using Response Surface Methodology

2020 ◽  
Vol 5 (2) ◽  
pp. 40-49
Author(s):  
Joseph Abutu ◽  
S.A. Lawal ◽  
M.B. Ndaliman ◽  
R. A. Lafia-Araga ◽  
M. A. Oluleye
Keyword(s):  
Response Surface Methodology ◽  
Tribological Properties ◽  
Grey Relational Analysis ◽  
Coconut Shell ◽  
Brake Pad ◽  
Brake Pads ◽  
Relational Analysis ◽  
Reinforcement Material ◽  
Response Performance ◽  
Grey Relational

Over many years, asbestos has been used as reinforcement material in the production of brake pads production but it has lost favour due to its carcinogenic nature, as a result, there is need to investigate other possible substitute which can offer similar tribological properties as the carcinogenic material (asbestos). Several works has been carried out using different reinforcement material with the aim of finding a possible replacement for asbestos. In this work, Rule of mixture (ROM) was ustlised for sample formulation and the tribological properties of natural based material (coconut shell and seashell) were investigated using experimental design (response surface methodology) and multi-response optimisation technique (Grey relational analysis). The multi-response performance of the formulated brake pads samples was compared with a commercial brake pad sample. The research findings revealed that sample can be produced using 52% reinforcement, 35% binder, 8% abrasive and 5% friction modifier while the Grey relational analysis (GRA) showed that optimum multi-response performance of the developed coconut shell based sample can be achieved using MP, MT and CT and HTT of 12MPa, 100 oC, 6mins and 2hrs respectively while that of the developed seashell based brake pad can be achieved using MP, MT and CT and HTT of 10MPa, 160 oC, 12mins and 2hrs respectively. Also, the Analysis of variance (ANOVA) results show a percentage error of less than 5% indicating minima noise effect. In addition, the optimized coconut shell-based brake pads falls within the category of class H (µ >0.55) type of brake pads while seashell based sample falls within the class G (µ: 0.45-0.55) type of brake pads. It therefore concluded that the use of coconut shell can serve as a better substitute for asbestos-based brake pads.

scholarly journals Tribological Performance Optimization of Al-7.5% SiCp Composites Using the Taguchi Method and Grey Relational Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Shouvik Ghosh ◽  
Prasanta Sahoo ◽  
Goutam Sutradhar
Keyword(s):  
Taguchi Method ◽  
Metal Matrix Composite ◽  
Matrix Composite ◽  
Grey Relational Analysis ◽  
Metal Matrix ◽  
Friction And Wear ◽  
Tribological Performance ◽  
Relational Analysis ◽  
Test Parameters ◽  
Grey Relational

The present study considers an experimental study of tribological performance of Al-7.5% SiCp metal matrix composite and optimization of tribological testing parameters based on the Taguchi method coupled with grey relational analysis. A grey relational grade obtained from grey relational analysis is used as a performance index to study the behaviour of Al-7.5% SiCp MMC with respect to friction and wear characteristics. The tribological experiments are carried out by utilizing the combinations of tribological test parameters based on the L27 Taguchi orthogonal design with three test parameters, namely, load, speed, and time. The material Al-7.5% SiCp metal matrix composite is developed by reinforcing LM6 aluminium alloy with 7.5% (by weight) SiC particle of 400 mesh size (~37 μm) in an electric melting furnace. It is observed that sliding time has a significant contribution in controlling the friction and wear behaviour of Al-7.5% SiCp MMC. Furthermore, all the interactions between the parameters have significant influence on tribological performance. A confirmation test is also carried out to verify the accuracy of the results obtained through the optimization problem. In addition, a scanning electron microscopy (SEM) test is performed on the wear tracks to study the wear mechanism.

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