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April 10, 2026Journal of Manufacturing and Materials Processing0 citationsOpen Access

Optimizing the Flexural Performance of ABS Parts Fabricated by FDM Additive Manufacturing Through a Taguchi–ANOVA Statistical Framework

HAHajer AliJDJamal Jalal DawoodFMFarag Mahel Mohammed

Key Points

  • The aim is to optimize FDM parameters to enhance the flexural performance of ABS materials in additive manufacturing.
  • Investigated layer thickness, infill density, printing speed, and build orientation following ASTM D790 standards.
  • Utilized Taguchi L9 orthogonal array for experimental design.
  • Conducted ANOVA analysis to determine the significance of each parameter.
  • Infill density significantly affected flexural strength and modulus, contributing to over 60% of the performance variation.
  • Optimal parameter configuration achieved a flexural strength of 84.9 MPa and a modulus of 2.54 GPa.
  • Higher infill and moderate printing speed improved interlayer fusion and reduced voids in the printed parts.

Abstract

Additive manufacturing (AM), particularly Fused Deposition Modeling (FDM), has revolutionized polymer-based fabrication through design freedom and material efficiency. This work presents a comprehensive statical optimization of FDM parameters affecting the flexural properties of acrylonitrile/butadiene/styrene (ABS) specimens. The effects of layer thickness (0.15–0.25 mm), infill density (30–70%), printing speed (35–95 mm/s), and build orientation (Flat, On-edge, Vertical) were investigated following ASTM D790 standards. A Taguchi L9 orthogonal array coupled with ANOVA analysis was employed to quantity parameter significance. According to the ANOVA analysis, infill density was identified as the most influential parameter, accounting for 61.3% of the variation in flexural strength (σf) and 60.1% in flexural modulus (Eb). The optimal configuration (0.25 mm layer thickness, 70% infill, 65 mm/s speed, horizontal orientation) yielded a flexural strength of 84.9 MPa and modulus of 2.54 GPa. Microstructural observations confirmed that higher infill and moderate speed improved interlayer fusion and reduced void formation. The developed Taguchi–ANOVA framework offers quantitative insights for tailoring process–structure–property relationships in polymer-based additive manufacturing.

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Cite This Study

Ali et al. (2026) studied this question.

synapsesocial.com/papers/69d893eb6c1944d70ce04f1dhttps://doi.org/10.3390/jmmp10040125
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  5. 5Optimization of Fused Deposition Modelling Acrylonitrile-co-Butadiene-co-Styrene Parameters using ANOVA and Hybrid GRA–TOPSIS2024