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<p>This study optimized low-temperature argon plasma parameters to enhance polypropylene surface crystallinity using a Taguchi L8 design and XRD analysis. Three parameters were evaluated: RF power (100–200 W), treatment time (30–60&#xa0;min), and gas pressure (0.1–0.3&#xa0;Torr). Gas pressure dominated crystallite size enhancement (119.5 → 153.2&#xa0;nm), followed by RF power (125.8 → 146.8&#xa0;nm), while treatment time showed minimal impact (Δ = 1.4&#xa0;nm). ANOVA confirmed the significance of gas pressure (35.10% variance contribution, <i>p</i> = 0.034) and a notable RF power–gas pressure interaction (16.15%), reflecting a synergistic balance between ion flux and moderated ion energy. Under optimal conditions (200 W, 30&#xa0;min, 0.3&#xa0;Torr), crystallite size reached 167.4&#xa0;nm—attributed to energy-driven chain reorganization via low-energy Ar⁺ bombardment, which mobilizes surface segments without bulk degradation. The model demonstrated excellent reliability (<i>R</i><sup>2</sup> = 90.30%), enabling controlled, surface-selective crystallinity tuning for biomedical and industrial applications.</p> Graphical abstract <p></p>

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Taguchi-based optimization of surface crystallinity in polypropylene via low-temperature argon plasma treatment: Process parameter analysis and interaction effects

  • 期刊论文

  • 发表日期：

    2025年12月8日

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  • Demiral Akbar,
  • Yusuf Şahin

摘要

This study optimized low-temperature argon plasma parameters to enhance polypropylene surface crystallinity using a Taguchi L8 design and XRD analysis. Three parameters were evaluated: RF power (100–200 W), treatment time (30–60 min), and gas pressure (0.1–0.3 Torr). Gas pressure dominated crystallite size enhancement (119.5 → 153.2 nm), followed by RF power (125.8 → 146.8 nm), while treatment time showed minimal impact (Δ = 1.4 nm). ANOVA confirmed the significance of gas pressure (35.10% variance contribution, p = 0.034) and a notable RF power–gas pressure interaction (16.15%), reflecting a synergistic balance between ion flux and moderated ion energy. Under optimal conditions (200 W, 30 min, 0.3 Torr), crystallite size reached 167.4 nm—attributed to energy-driven chain reorganization via low-energy Ar⁺ bombardment, which mobilizes surface segments without bulk degradation. The model demonstrated excellent reliability (R2 = 90.30%), enabling controlled, surface-selective crystallinity tuning for biomedical and industrial applications.

Graphical abstract