Optimization of tribological performance of TiB2-reinforced Al6063 composite using grey-fuzzy tool

Abstract

The utilization of TiB2 particle reinforcement in aluminium matrix composites, particularly with Al6063, has been explored in this study for its resilience to mechanical erosion, low oxidation rate, and excellent heat conductivity. The composite was produced using stir casting with 9 wt% TiB2. The investigation focuses on wear behaviour, examining three key process parameters such as load, sliding speed, and covering sliding distance across four settings to identify the optimal combination for achieving a favourable wear rate. Statistical analysis of variance reveals significant differences among the tested parameters. Conclusively, the study highlights the superiority of the grey-fuzzy approach over a simple grey relational grade in validating decision-making for wear performance attributes. The research identifies the ost significant grey relational grade and grey fuzzy grade values as 0.913 and 0.902, respectively. These values correspond to optimal operating conditions, specifically a 15 N load, a sliding speed of 15 m/s, and a sliding distance of 1200 m. The findings underscore the efficacy of the grey-fuzzy technique in authenticating decision-making processes related to wear performance characteristics, emphasizing its superiority over relying solely on a plain grey relational grade.