ArticleMaterials (Basel, Switzerland)2024
Investigation of the Influence of Fused Deposition Modeling 3D Printing Process Parameters on Tensile Properties of Polylactic Acid Parts Using the Taguchi Method.
Article in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The Influence of Certain Operating Conditions of the FDM Process on the Mechanical Properties of Polymeric Materials-A Review.Polymers · 2026Review
- Unveiling the effects of printing parameters on the fracture behavior of 3D-printed acrylonitrile butadiene styrene via the essential work of fracture.Scientific reports · 2026Article
- Impact of Layer Thickness on Mechanical Properties and Surface Roughness of FDM-Printed Carbon Fiber-PEEK Composite.Materials (Basel, Switzerland) · 2026Article
- Predictive modeling and experimental validation of mechanical-microstructural relationships in 3D-printed Onyx-fibre composites.Scientific reports · 2026Article
- Metaheuristic-Driven Ensemble Learning for Robust Fracture Energy Prediction in FDM-Fabricated PLA Components.Polymers · 2026Article
- Article
- Effects of Process Parameters on Tensile Properties of 3D-Printed PLA Parts Fabricated with the FDM Method.Polymers · 2025Article
- Influence of Print Speed on the Mechanical Performance of 3D-Printed Bio-Polymer Polylactic Acid.Materials (Basel, Switzerland) · 2025Article
- Article
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4 authors.
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Abstract
Despite Fused Deposition Modeling (FDM) being an economical 3D printing method known for its material versatility and ease of use, the mechanical performance of FDM-produced components is significantly influenced by process parameter settings. This study investigated the effects of the layer thickness, raster angle, build orientation, and extrusion temperature on the ultimate tensile strength (UTS) and elastic modulus of Polylactic Acid (PLA) specimens using Taguchi methods, with significance analyzed through analysis of variance (ANOVA). The results indicated that the build orientation is the primary factor affecting both the UTS and elastic modulus, with a flat orientation yielding the best performance. ANOVA showed that the build orientation, raster angle, and extrusion temperature significantly influence the UTS, with the build orientation contributing 98.16%. For the elastic modulus, the build orientation and raster angle were significant, contributing 94.83% and 1.76%, respectively. The optimal parameters were a 0.16 mm layer thickness, flat build orientation, 30°/-60° raster angle, and 200 °C extrusion temperature, resulting in predicted UTS and elastic modulus values with error percentages of 4.33% and 2.74%, respectively, compared to experimental values. The regression model demonstrated high predictive accuracy, with R-squared values of 99.71% for the UTS and 99.52% for the elastic modulus.
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