Non-lubricated dry sliding wear activities of Al7075/Fly ash nanocomposites by exploring grey based Taguchi optimization

Abstract

Aluminium Matrix Composite is becoming increasingly popular because of its higher specific strength and stiffness than monolithic metal. The use of fly ash particulate reinforcement has a substantial impact on the production of metal matrix composites due to its low cost in comparison to other reinforcements, emphasized mechanical properties, and increased wear resistance capacity. The wear resistance behaviour of a stir cast fly ash reinforced aluminium matrix composite is investigated in this paper. EDX and SEM analysis show that the fly ash particulates reinforced aluminium matrix composite is properly formed and distributed uniformly throughout the matrix. Four key factors were changed to obtain an effective wear rate: the amount of fly ash, the applied weight, the sliding velocity, and the sliding distance. S/N ratio revealed the optimized parameter combination of wear rate is 6 wt% fly ash reinforcement, 20 N load, 3 m/s sliding velocity, and 2000 m sliding distance. According to an ANOVA study, the applied load had the biggest impact on the other values (50.23 %).