Experimental and Numerical Investigation of Flow and Alignment Behavior of Waste Tire-Derived Graphene Nanoplatelets in PA66 Matrix during Melt-Mixing and Injection

Homogeneous dispersion of graphene into thermoplastic polymer matrices during melt-mixing is still challenging due to its agglomeration and weak interfacial interactions with the selected matrix. In this study, an ideal within PA66 matrix was achieved under high shear rates by thermokinetic mixing. The flow direction monitored developed numerical methodology a combination rheological behaviors. Graphene nanoplatelets (GNP) produced from waste-tire upcycling recycling techniques having oxygen surface functional groups were used increase compatibility chains. This study revealed that GNP addition increased crystallization temperature nanocomposites since it acted as both nucleating reinforcing agent. Tensile strength modulus improved at 30% 42%, respectively, 0.3 wt% GNP. Flexural reached 20% 43%, respectively. addition, model, which simulates injection molding process resin different loadings considering behavior alignment characteristics GNP, served tool describe mechanical performance these based nanocomposites.