The present study deals with the optimal design of a Graphene reinforced composite. The Graphene was prepared by chemical exfoliation process and was chemically blended with matrix material in acetone. Further chemically mixed solution was exposed to air for acetone vaporization. Next, this Graphene composite was extruded through twin screw extrusion (TSE) for preparation of feedstock filament with 1.75±0.05mm diameter via fused deposition modelling (FDM). The presented results suggest that statistically controlled Graphene reinforced functional prototypes can be usefully employed as sensors for bio-medical and engineering applications.
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