Comparative Analysis of Natural Fiber Reinforced Hybrid Composite using RSM and ANN Approach.

Abstract

Natural fibers are progressively being utilized as fortifications in different applications. The present work examines the strength of various natural fibers along with the impact of various testing process parameters. This exploration was completed by strengthening the network (Epoxy) tar with natural fibers and synthetic glass fiber. The natural fibers like jute and flax strengthened with epoxy were delivered utilizing Vacuum Assisted Resin Transfer Molding. After manufacturing of composite material, the mechanical properties like flexural strength was examined. It was discovered that flexural strength of jute and flax fiber composite are having good strength.  Two soft computing techniques like response surface method (RSM) and artificial neural network (ANN) were implemented for the effective analysis. Both the method shows the good reliability and commitment towards the fitness.