Optimization of wear behaviour and friction of LM26 composite under dry sliding conditions

The Tribological characteristics of the LM26/Garnet cast aluminum metal matrix composite have been studied in this paper, with a focusing on coefficient of friction (C.O.F.) and specific wear rate. To optimize and assess these features, the research employed analytical techniques such the Taguchi Method, Regression Analysis, and Grey Relational Analysis. The impacts of four parameters-reinforcement weight percentage, applied load, sliding distance, and sliding velocity-across five different levels were investigated using an orthogonal array L25. To ascertain the significance of each parameter's impact, ANOVA was employed. A sliding distance of 2500 m, a load of 10 N, a sliding velocity of 1 m/s, and a reinforcement weight percentage of 12% were found to be the optimal conditions. Under these conditions, the specific wear rate was reduced by approximately 35%, and the coefficient of friction reduced by about 20%, resulting in lower frictional losses and improved energy efficiency. These findings indicate by optimizing these characteristics, wear and friction can be greatly reduced, improving energy efficiency and prolonging the material's life. Additionally, the SEM (Scanning electron machine) analysis validated that the observed wear mechanisms were consistent with theoretical predictions, confirming the robustness of the regression model and ensuring the reliability of the findings within a 95% confidence level. In addition to reducing wear and friction, this optimization lessens environmental impact by increasing energy efficiency and extending material durability.