| Abstract Scope |
Enhancing the properties of composite materials through aligned reinforcements in extrusion-based additive manufacturing (AM) is a critical objective in engineering applications. This study utilizes coupled Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) simulations to analyze the flow behavior of a graphite-reinforced polyvinyl alcohol (PVA) polymer matrix through a nozzle, focusing on the challenges posed by nozzle clogging. The investigation considers forces such as drag, pressure gradient, and virtual mass, evaluating their effects on reinforcement alignment. Non-linear regression analysis quantifies these influences, with input parameters including nozzle outlet diameter, reinforcement aspect ratio, volume flow rate, polymer viscosity, and reinforcement concentration. To address nozzle clogging, the study introduces nozzle rotation, demonstrating its effectiveness in reducing blockages and enhancing alignment efficiency. This research provides critical insights into optimizing reinforcement alignment in polymer matrices, offering practical solutions for improving the production of high-performance composite materials with tailored properties. |