Grey relational optimization for factors influencing tensile, flexural, and impact properties of hybrid sisal banana fiber epoxy composites

Abstract

This research investigates factors contributing mechanical stability of epoxy based composites using Taguchi optimization based grey relational approach. Natural fibers of sisal, banana reinforcement along with epoxy was used as the matrix material for this compression molding technique. The grey relational results observed 7th and 14th trials were having first and second position in mechanical properties: 10% sisal, 15% banana, 8% NaOH, 10 MPa pressure, and 100°C temperature composites; 20% sisal, 10% banana, 5% NaOH, 10 MPa pressure, and 120°C temperature were the combinations. The signal to noise ratio showed the optimized data as 20% sisal, 15% banana, 5% NaOH, 10 MPa pressure, and 100°C temperature. The relation between experimental and predicted grey relational grade using artificial neural network showed good correlation stating the network topology of 5-5-1 with good predictability for analyzing factors influencing mechanical properties. SEM analysis observed pullouts of fiber, breakage in the matrix, and these two causing voids in the single reinforcement substitution using sisal and banana. Hybridization using both the fiber reduces the surface abnormalities and adds to the properties.