Application of Multi-Criteria Decision-Making Techniques in the Optimization of Mechano-Tribological Properties of Copper-SiC-Graphite Hybrid Metal Matrix Composites

Jamwal, Anbesh; Agrawal, Rajeev; Gupta, Pallav

doi:10.1007/978-3-030-50312-3_7

Cited by 6 publications

(2 citation statements)

References 34 publications

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“…Recently, the application of the Taguchi method, GRA, and Topsis has received increasing attention and has become extremely relevant in various research fields. These methods have proven to be extremely effective tools for process optimization, decision-making, and product quality improvement [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Optimization of Tribological Characteristics for Aluminum Composite Using Taguchi Grey and TOPSIS Approaches

Gajević,

Marković,

Milojević

et al. 2024

Lubricants

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In this study, a multi-objective optimization regarding the tribological characteristics of the hybrid composite with a base material of aluminum alloy A356 as a constituent, reinforced with a 10 wt.% of silicon carbide (SiC), size 39 µm, and 1, 3, and 5 wt.% graphite (Gr), size 35 µm, was performed using the Taguchi method, gray relational analysis (GRA), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) decision-making methods. Tribological tests were carried out on a “block on disc” type tribometer with lubrication. Load, sliding speed, and graphite mass concentration were analyzed as input parameters. As output parameters, wear rate and coefficient of friction were calculated. An analysis of variance (ANOVA) was conducted to identify all parameters that have a significant influence on the output multi-response. It was found that the normal load has the highest influence of 41.86%, followed by sliding speed at 32.48% and graphite addition at 18.47%, on the tribological characteristics of composites. Multi-objective optimization determined that the minimal wear rate and coefficient of friction are obtained when the load is 40 N, the sliding speed is 1 m/s, and the composite contains 3 wt.% Gr. The optimal combination of parameters achieved by GRA was also confirmed by the TOPSIS method, which indicates that both methods can be used with high reliability to optimize the tribological characteristics. The analysis of worn surfaces using scanning electron microscopy revealed adhesive and delamination wear as dominant mechanisms.

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Section: Introductionmentioning

confidence: 99%

“…Jamwal et al investigated copper-SiC-graphite metal matrix hybrid composites produced by the liquid-stir casting process by observing the composite microstructure as well as mechanical and tribological characteristics [19]. The results show that the density of the composite begins to decrease with increasing reinforcement content.…”

Section: Introductionmentioning

confidence: 99%