PREDICTION OF TENSILE STRENGTH AND ELONGATION IN HYBRID ALUMINIUM COMPOSITE USING ANN

A feed-forward back propagation neural network model was been developed to predict the tensile strength and elongation in LM6 aluminium alloys reinforced with SiC and flyash. The particulate size and weight percentage of each of the reinforcement has been varied in the study. The hybrid composites, prepared by stircasting as per the combination of parameters determined using central composite rotatable design, were tested in UTM. Closeness of ANN prediction with experimental values demonstrated that multi layered feed-forward back propagation network can be used to satisfactorily predict the tensile strength and elongation in hybrid MMC