Parametric Optimization of FDM Process for Improving Mechanical Strengths Using Taguchi Method and Response Surface Method: A Comparative Investigation

In the present study, a comparison of two widely used optimization approaches for fused deposition modeling (FDM), that is, Taguchi method in contrast with response surface (RSM), was investigated. Four operating parameters, namely extrusion temperature, layer thickness, raster width, print speed, and their interaction terms, were identified as control variables three levels, while tensile strength compressive selected responses. L27 orthogonal array face-centered central composite design (FCCCD) experimental approach RSM, respectively. The signal-to-noise (S/N) ratio analysis variance (ANOVA) employed to find optimal FDM parameter combination well main factor affect performance PLA samples. Based on results, it observed conclusions about significant ranking parameters process from these methods different. However, both RSM succeed predicting better results compared original groups. addition, optimum combinations obtained 2.11% 8.15% higher than method,