Multi-response optimization of tribological characteristics of hybrid composites using DFA and ANOVA

Abstract

The present article considers an experimental study of tribological performance of Aramid and palm fibers reinforced with nylon hybrid composites. Friction and wear tests for hybrid composite material were conducted by using DUCOM pin-on-disc apparatus. Experiments were carried out based on L27 Taguchi orthogonal design with three parameters, such as fiber percentage, load, and sliding distance, each at three levels. Desirability function analysis (DFA) was employed to optimize the tribological parameters for hybrid composites. From the analysis of DFA, the optimum values for minimization of coefficient of friction and specific wear rate were identified to be fiber percentage at 15 (wt. %), load at 40 N, and sliding distance at 600m. Analysis of variance (ANOVA) was employed to determine the significance of parameters on multiple performance index (composite desirability in DFA). From the results of ANOVA, the fiber weight percentage was the most influencing parameter followed by load, and sliding distance on tribological study of hybrid composites.