Sliding Wear Resistance Behaviour of Al-Zn-Mg-Cu/SiC/B4C/Porcelain Composites Using Fuzzy Model and Salp Swarm Algorithm

The prime motive of this experimental research work is to investigate and compare the wear behaviour of aluminium (AA7075/Al-Zn-Mg-Cu) alloy metal matrix composites enriched with three different ceramics reinforcements (SiC/7wt%, B4C/7wt%, and porcelain/7wt%) prepared via liquid metallurgy stir casting route. Sliding wear performance for all three aluminium-ceramics matrix composites was evaluated on a pin-on-disc tribometer as per Taguchi's L25 orthogonal array by varying normal loads, sliding velocities and sliding distances. The experimental results revealed that porcelain-reinforced composite (AA7075/7wt%porcelain) achieved better resistance property against sliding wear compared to AA7075/7wt%SiC and AA7075/7wt%B4C composites. Further, the fuzzy logic model was developed to evaluate wear loss for three composites with absolute accuracy. Finally, a metaheuristic salp swarm algorithm (SSA) was utilized to minimize wear loss for three composites. The wear loss value attained through SSA exhibits the lowest one in comparison with conventional Taguchi and fuzzy logic results.