Kisin Burak, Turan Mehmet Kivanc, Karpat Fatih
Department of Mechanical Engineering, Bursa Uludağ University, Bursa 16059, Turkey.
Polymers (Basel). 2025 Aug 6;17(15):2147. doi: 10.3390/polym17152147.
Additive manufacturing (AM) techniques, especially fused deposition modeling (FDM), offer significant advantages in terms of cost, material efficiency, and design flexibility. In this study, the mechanical performance of biodegradable PLA/PHA composite samples produced via FDM was optimized by evaluating the influence of key printing parameters-layer height, printing orientation, and printing speed-on both the tensile and compressive strength. A full factorial design (3 × 3 × 3) was employed, and all of the samples were triplicated to ensure the consistency of the results. Grey relational analysis (GRA) was used as a multi-objective optimization method to determine the optimal parameter combinations. An analysis of variance (ANOVA) was also conducted to assess the statistical significance of each parameter. The ANOVA results revealed that printing orientation is the most significant parameter for both tensile and compression strength. The optimal parameter combination for maximizing mechanical properties was a layer height of 0.1 mm, an X printing orientation, and a printing speed of 50 mm/s. This study demonstrates the effectiveness of GRA in optimizing the mechanical properties of biodegradable composites and provides practical guidelines to produce environmentally sustainable polymer parts.
增材制造(AM)技术,尤其是熔融沉积成型(FDM),在成本、材料效率和设计灵活性方面具有显著优势。在本研究中,通过评估关键打印参数——层高、打印方向和打印速度——对拉伸强度和抗压强度的影响,优化了通过FDM生产的可生物降解聚乳酸/聚羟基脂肪酸酯(PLA/PHA)复合材料样品的机械性能。采用全因子设计(3×3×3),所有样品均重复三次以确保结果的一致性。灰色关联分析(GRA)被用作多目标优化方法来确定最佳参数组合。还进行了方差分析(ANOVA)以评估每个参数的统计显著性。方差分析结果表明,打印方向是影响拉伸强度和抗压强度的最显著参数。使机械性能最大化的最佳参数组合是层高0.1毫米、X打印方向和打印速度50毫米/秒。本研究证明了灰色关联分析在优化可生物降解复合材料机械性能方面的有效性,并为生产环境可持续的聚合物部件提供了实用指南。