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Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite
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Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite
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Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite
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Journal Article
Taguchi Grey Relational Analysis for Multi-Response Optimization of Wear in Co-Continuous Composite
2018
Overview
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.
