40th International Conference on Production Engineering of Serbia
ICPES 2025
Nis, Serbia, 18-19th september 2025
ADVANCED DESIGN OF 3D-PRINTED COMPONENTS FOR ROBOTIC END- EFFECTORS: A TAGUCHI-BASED MASS AND VOLUME OPTIMIZATION
Dejan Bozic, Mijodrag Milosevic, Zeljko Santosi, Grigor Stambolov, Dejan Lukic
DOI: 10.46793/ICPES25.384B
This study investigates the optimization of mass and volume in 3D-printed components featuring internal lattice structures, using the Taguchi method and Fused Deposition Modeling (FDM) technology. A set of three design parameters-unit cell type, cell size, and shell thickness-was systematically varied across three levels using an L9 orthogonal array. The goal was to identify combinations that minimize material usage without compromising structural integrity. Lattice structures were designed and generated using nTop software, which enabled efficient modeling of complex geometries through implicit modeling and field-driven design techniques. Experimental results showed that cell size had the most significant effect on both mass and volume reduction, while the Diamond unit cell type and reduced shell thickness further contributed to performance improvement. Statistical analysis, including signal-to-noise (S/N) ratio evaluation and ANOVA, confirmed the robustness of the identified optimal configuration. The results underscore the potential of combining advanced design tools with structured experimental methods to accelerate material-efficient product development in additive manufacturing
Robotic arm, 3D scan, Optimization, 3D Printing, Physical adaptation
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