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<p>In three-dimensional (3D) printing, the produced components quality in terms of their surface roughness, porosity, and dimensional inaccuracy is a weak point, affecting also their performance. This is critical for Polyvinylidene fluoride (PVDF), a high-performance thermoplastic, which is capable of functional parts production, due to its high chemical and thermal resistance. This study investigates how six key process parameters, i.e., raster deposition angle, nozzle temperature, bed temperature, infill density, print speed, and layer height, affect the quality of PVDF MEX 3D‑printed components. A Taguchi L25 design of experiments combined with a regression model (reduced quadratic) was employed for the analysis of the experimental data. Through the optimization process followed, surface roughness and dimensional accuracy improved by roughly 30%, while the level of porosity decreased by over 700%. Print speed was determined to be the number 1 parameter for surface roughness. Layer height and bed temperature were the leading parameters for porosity and dimensional accuracy, respectively. The results demonstrate that optimization of the 3D printing method is capable of enhancing the quality of PVDF HPP 3D printed components. Furthermore, they provide a robust framework for the production of enhanced quality PVDF components for advanced AM applications.</p>

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Optimization of key quality metrics of high-performance polyvinylidene fluoride (PVDF) in MEX additive manufacturing: correlation with mechanical scores

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月8日

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  • Markos Petousis,
  • Constantine David,
  • Dimitris Sagris,
  • Emmanuel Stratakis,
  • Maria Spyridaki,
  • Aikaterini Gkagkanatsiou,
  • Ioannis Valsamos,
  • Nectarios Vidakis

摘要

In three-dimensional (3D) printing, the produced components quality in terms of their surface roughness, porosity, and dimensional inaccuracy is a weak point, affecting also their performance. This is critical for Polyvinylidene fluoride (PVDF), a high-performance thermoplastic, which is capable of functional parts production, due to its high chemical and thermal resistance. This study investigates how six key process parameters, i.e., raster deposition angle, nozzle temperature, bed temperature, infill density, print speed, and layer height, affect the quality of PVDF MEX 3D‑printed components. A Taguchi L25 design of experiments combined with a regression model (reduced quadratic) was employed for the analysis of the experimental data. Through the optimization process followed, surface roughness and dimensional accuracy improved by roughly 30%, while the level of porosity decreased by over 700%. Print speed was determined to be the number 1 parameter for surface roughness. Layer height and bed temperature were the leading parameters for porosity and dimensional accuracy, respectively. The results demonstrate that optimization of the 3D printing method is capable of enhancing the quality of PVDF HPP 3D printed components. Furthermore, they provide a robust framework for the production of enhanced quality PVDF components for advanced AM applications.