Optimization of printing parameters for polyethylene terephthalate glycol thin honeycomb structures with shape-memory behaviors
摘要
This study investigates the optimization of 3D printing parameters for creating thin honeycomb lattice structures using polyethylene terephthalate glycol (PETG), a material known for its shape-memory capabilities. Experimental results demonstrate PETG’s high shape recovery, with elastic returns exceeding 95%, and underscore the critical influence of layer thickness and printing angle on both production efficiency and mechanical performance of printed structures. Increasing layer thickness notably enhanced stiffness and shape recovery due to fewer Z-axis discontinuities, reducing printing time. Conversely, adjustments to printing angle influenced printing speed and mechanical properties, with lower angles (particularly 0