<p>Fused Deposition Modeling (FDM) is one of the most widely used additive manufacturing techniques, in which the mechanical performance of printed parts is strongly influenced by structural parameters that govern polymer filament deposition. This study investigates the effects of infill pattern, wall line count, and the number top and bottom layers on the tensile properties of PLA. A Taguchi experimental design combined with ANOVA was employed to evaluate the significance of these parameters. The optimal configurations identified were: a cubic subdivision infill with six wall lines and four top/bottom layers, achieving a Young’s modulus of 3998.3&#xa0;MPa; a triangular infill with six wall lines and six top/bottom layers yielding a tensile strength of 53.26&#xa0;MPa; and a grid infill with four wall lines and six top/bottom layers, resulting in a Poisson’s ratio of 0.236. ANOVA results revealed that number of top and bottom layers had the greatest influence on Young’s modulus and tensile strength, whereas the infill pattern was the dominant factor affecting Poisson’s ratio and stiffness-to-weight ratio. Overall, the results demonstrate that careful optimization of structural parameters and their interactions can significantly improve mechanical performance without increasing infill density, enabling the production of lightweight yet high-strength components.</p>

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Optimization of fused deposition modeling parameters for enhanced tensile performance of PLA using Taguchi and ANOVA approaches

  • Belkaid Khmissi,
  • Guerira Belhi,
  • Boussehel Hamida,
  • Vivek Srivastava,
  • Paulo Nobre Balbis Reis

摘要

Fused Deposition Modeling (FDM) is one of the most widely used additive manufacturing techniques, in which the mechanical performance of printed parts is strongly influenced by structural parameters that govern polymer filament deposition. This study investigates the effects of infill pattern, wall line count, and the number top and bottom layers on the tensile properties of PLA. A Taguchi experimental design combined with ANOVA was employed to evaluate the significance of these parameters. The optimal configurations identified were: a cubic subdivision infill with six wall lines and four top/bottom layers, achieving a Young’s modulus of 3998.3 MPa; a triangular infill with six wall lines and six top/bottom layers yielding a tensile strength of 53.26 MPa; and a grid infill with four wall lines and six top/bottom layers, resulting in a Poisson’s ratio of 0.236. ANOVA results revealed that number of top and bottom layers had the greatest influence on Young’s modulus and tensile strength, whereas the infill pattern was the dominant factor affecting Poisson’s ratio and stiffness-to-weight ratio. Overall, the results demonstrate that careful optimization of structural parameters and their interactions can significantly improve mechanical performance without increasing infill density, enabling the production of lightweight yet high-strength components.