Optimisation of Mechanical Properties on Sunflower Seed Husk-Reinforced Epoxy Composite Using Regression and Grey Relational Analysis

Abstract

The current research focuses on optimising parameters, namely the mechanical properties of a polymer composite. This composite consists of an epoxy base with particles derived from Sunflower Seed Husks (SSH) used as an additive. To enhance the overall mechanical properties of the polymer composite, the study employs simple linear regression analysis to determine the effect of varying filler content on these properties. Additionally, the grey relational analysis (GRA) technique is used to determine the optimal proportion of SSH filler. Based on the simple linear regression analysis, there is a substantial impact on the mechanical properties and the results of GRA show that Sample ID SSH-0 and SSH-5 exhibits improved mechanical properties.