Artificial Neural Network Modeling of Mechanical Properties of Calcium Carbonate Impregnated Coir-Polyester Composites

The tensile, flexural and impact properties of calcium carbonate particles-impregnated coir fiber-reinforced polyester composites were evaluated. The short untreated green husk coir fibers were used as reinforcement materials in unsaturated polyester resin matrix. The composite fabrications were planned with the three levels of fiber parameters namely fiber length, fiber diameter and filler content as per design of experiments (DOE) and the mechanical properties were tested as per ASTM standards. An artificial neural network (ANN) model was developed to predict the mechanical properties and it was observed that the developed ANN model accurately predicted the mechanical properties within the ranges specified.