Tribological characterization of hybrid polymer composite using neuro-fuzzy model

Abstract

The tribological behaviour of g-C3N4 and Si3N4 nano fillers hybrid Carbon fiber reinforced with vinyl ester (C-V) Composite is investigated in this study. Hybrid polymer composites are popularly used as a substitute to metals because of their light in weight, low price and high strength to weight ratio. Thus, in this present work, hybrid C-V were fabricated using hand layup procedure with g-C3N4 and Si3N4 as Nano fillers. The experiments were designed according to Taguchi (L27) orthogonal array. The sets of 27 experiments were performed by varying the parameters of abrasive grain size, abrading distance travelled, applied load and percentage of fillers. Experiments are carried out using slurry abrasive wear testing machine to inspect the wear rate. Composite with optimum value is most suitable for lowest possible sliding wear of hybrid composites. Further, a fuzzy logic model is adopted for the estimation of sliding wear in hybrid composites by the experimental data. Estimated fuzzy modeling outputs are compared with experimental results, which is very much satisfied with an average error estimation of 0.27% which represents that the fuzzy logic model can be efficiently used to compute the wear performance.