On the optimized fused filament fabrication of polylactic acid using multiresponse central composite design and desirability function algorithm

Reymark D. Maalihan, John Carlo V Aggari, Alvin S Alon, Roy B Latayan, F. J. P. Montalbo, Alvin D Javier
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Abstract

Efficient optimization of polymeric materials in fused filament fabrication 3D printing (FFF 3DP) is crucial for productivity, cost reduction, resource conservation, consistency, and enhanced part performance. This study employed a multiresponse central composite design of experiments (CCD-DOE) with the desirability function algorithm (DFA) to optimize printing settings on polylactic acid (PLA) using a commercial FFF 3D printer. The goal was to identify optimal parameters for faster build time and reduced material usage in PLA part fabrication. The fabrication process involved computer-aided design and modeling of standard PLA dogbone specimens, meeting ASTM-D638 Type 1 tensile test standards. These specimens were then 3D printed using Ultimaker Green RAL 6018 PLA filament and a 2+ model printer set at varying print parameters. Reduced second-order polynomial models for printing time and PLA weight were generated using stepwise regression, eliminating noninfluential parameters. The models revealed that higher layer thickness, increased print speed, and lower infill density resulted in faster printing times, while lower infill density and higher layer thickness led to lighter PLA prints. DFA analysis determined the optimal settings as a layer thickness of 0.26–0.30 mm and an infill density of 35% for minimizing printing time and PLA weight. The stress–strain curves displayed characteristic high-strength, brittle behavior under tension, while tensile testing of optimized PLA parts revealed increased strength with low strain at the break when layers were aligned parallel to the applied force. These findings advance additive manufacturing and provide practical guidelines for high-quality 3D-printed PLA components. Optimizing FFF 3DP parameters enables efficient production with reduced time and material usage, enhancing cost-effectiveness and the fabrication of high-performance 3D printed products.
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利用多反应中心复合设计和可取函数算法优化聚乳酸熔融长丝制造工艺
在熔融长丝制造三维打印(FFF 3DP)中有效优化聚合物材料对于提高生产率、降低成本、节约资源、保持一致性和增强部件性能至关重要。本研究采用多反应中心复合实验设计(CCD-DOE)和理想函数算法(DFA),使用商用 FFF 3D 打印机优化聚乳酸(PLA)的打印设置。其目的是确定最佳参数,以便在聚乳酸部件制造中加快构建时间并减少材料用量。制作过程包括对符合 ASTM-D638 1 类拉伸测试标准的标准聚乳酸狗骨试样进行计算机辅助设计和建模。然后使用 Ultimaker Green RAL 6018 聚乳酸长丝和 2+ 模型打印机以不同的打印参数进行 3D 打印。使用逐步回归法生成了打印时间和聚乳酸重量的还原二阶多项式模型,消除了非影响参数。模型显示,较高的层厚、较快的打印速度和较低的填充密度可加快打印时间,而较低的填充密度和较高的层厚则可使打印出的聚乳酸重量更轻。DFA 分析确定了最佳设置,即层厚度为 0.26-0.30 毫米,填充密度为 35%,以最大限度地减少打印时间和聚乳酸重量。应力-应变曲线显示了拉伸时的高强度脆性特征,而对优化后的聚乳酸部件进行的拉伸测试表明,当各层平行于外力排列时,强度增加,断裂应变降低。这些发现推动了增材制造技术的发展,并为高质量的三维打印聚乳酸部件提供了实用指南。优化 FFF 3DP 参数可实现高效生产,减少时间和材料用量,提高成本效益,制造出高性能的三维打印产品。
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