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<p>The FDM 3D printing process is increasingly prevalent in accelerating product development. This paper conducted a study to optimize 3D printing parameters for surface roughness and specific bending load in small-scale wind turbine blades. Design of experiments (DOE) using Taguchi’s method was employed to investigate the influence of three controllable parameters: layer height, building orientation, and infill density. Analysis of variance (ANOVA) using a general linear model (GLM) was performed to identify the most significant factors affecting surface roughness and specific bending load. The response surface methodology (RSM) employs the design of experiments based on the Taguchi method to enable comparative statistical analysis. The results demonstrated that the two statistical methods yielded different specimen characteristics. The GLM method, with recommended parameters of a 0.1 mm printing layer height, 0° building orientation, and 10 % infill density, produced specimens exhibiting ductility, with a specific bending load of 7.26 N/g from experimental testing. This value is 14.67 % lower than the predicted value by the GLM statistical model. In contrast, the RSM method produced specimens with a higher specific bending load of 7.50 N/g (19.89 % lower than the pre-dicted value by the RSM statistical model), which tended to be brittle, showing fractures at the interlayer. These findings provide valuable insights for optimizing 3D printing parameters for small-scale wind turbine blades, resulting in improved performance and durability.</p>

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Experimental and statistical optimization of FDM 3D printing parameters for improved surface roughness and specific bending load

  • 期刊论文

  • 发表日期：

    2025年9月4日

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  • Awang Rahmadi Nuranto,
  • Abian Nurrohmad,
  • Afid Nugroho,
  • Dony Hidayat,
  • Ahmad Jamaludin Fitroh,
  • Fadli Cahya Megawanto,
  • Chairunnisa,
  • Agus Bayu Utama,
  • Fitrian Imaduddin

摘要

The FDM 3D printing process is increasingly prevalent in accelerating product development. This paper conducted a study to optimize 3D printing parameters for surface roughness and specific bending load in small-scale wind turbine blades. Design of experiments (DOE) using Taguchi’s method was employed to investigate the influence of three controllable parameters: layer height, building orientation, and infill density. Analysis of variance (ANOVA) using a general linear model (GLM) was performed to identify the most significant factors affecting surface roughness and specific bending load. The response surface methodology (RSM) employs the design of experiments based on the Taguchi method to enable comparative statistical analysis. The results demonstrated that the two statistical methods yielded different specimen characteristics. The GLM method, with recommended parameters of a 0.1 mm printing layer height, 0° building orientation, and 10 % infill density, produced specimens exhibiting ductility, with a specific bending load of 7.26 N/g from experimental testing. This value is 14.67 % lower than the predicted value by the GLM statistical model. In contrast, the RSM method produced specimens with a higher specific bending load of 7.50 N/g (19.89 % lower than the pre-dicted value by the RSM statistical model), which tended to be brittle, showing fractures at the interlayer. These findings provide valuable insights for optimizing 3D printing parameters for small-scale wind turbine blades, resulting in improved performance and durability.