Statistical Optimization Using Response Surface Methodology for Enhanced Tensile Strength of Polyethylene/Graphene Nanocomposites

Despite having remarkable features such as low density, ease of fabrication and recyclability, linear low-density polyethylene (LLDPE) has several drawbacks like poor stiffness creep resistance which fortunately can be improved by incorporating with other suitable nanofillers. In this study, graphene nanoplatelets (GNPs) that are well-known for its high surface area superior stability were selected to reinforce the polymer network LLDPE via melt blending. During mixing processing, rotor speed, temperature time parameters manipulated aids 5-level-3-factor central composite rotatable design (CCRD) in order determine optimization processing preparing LLDPE/GNPs nanocomposites. The experimental data is fitted statistically significant quadratic model R2 value 0.8601. results showed tensile strength nanocomposites could extended 24.80 MPa. optimum preparation found at 101 rpm 139.8oC 13.2 min time, resulting 24.11 Conclusively, our study provided a novel statistical experiment obtain