Enhancing Mechanical Properties of 3D-Printed PLAs via Optimization Process and Statistical Modeling

This paper investigates the optimization of 3D printing by 1.75 mm filaments poly-lactic acid (PLA) materials. The samples are printed separately and glued together to join tensile device for failure load checking surface roughness. method in this research is Fused Deposition Modeling (FDM), which parameters Infill Percentage (IP), Extruder Temperature (ET), Layer Thickness (LT) considered variable printer, according Design Experiments (DOE), a total 20 experiments designed. parametric range be 15–55% IP, 190–250 °C ET, 0.15–0.35 LT. model conducted Response Surface Method (RSM), ANOVA plot tables examined. Moreover, samples’ maximum load, weight, fabrication time, roughness output responses. Statistical modeling shows that increasing IP setting ET at 220 °C, increases, reaches 1218 N. weight time specimen optimized same achieve with less By comparing predicted actual optimum samples, percentage error all results than 5%. developed revealed accurate reliable FDM PLAs.