Parametric Optimization in Fused Deposition Modeling for Mechanical Reinforcement of Polylactic Acid, Acrylonitrile Butadiene Styrene, and Nylon Carbon Fiber Materials
摘要
This study investigates the impact of key process parameters in Fused Deposition Modeling (FDM) on the tensile strength of 3D-printed filaments made from Polylactic Acid (PLA), Acrylonitrile Butadiene Styrene (ABS), and Nylon Carbon Fiber (NCF). The optimization was carried out using the Taguchi method with five control factors: material type, layer height (0.1, 0.15, 0.2 mm), infill density (20, 40, 60%), infill pattern (linear, diamond, cat fill), and print orientation (0°, sideway, 45°), each evaluated at three levels. A total of 27 experiments were designed using the L27 orthogonal array and analyzed using MINITAB 16 software. Tensile strength was selected as the response variable. The optimal parameter set—NCF material, 0.15 mm layer height, 20% infill density, cat fill pattern, and 45° print orientation—achieved the maximum tensile strength of 61.2 MPa. ANOVA results revealed that infill pattern contributed the highest significance (p < 0.05), accounting for 38.6% of the total variation.