Guessasma Sofiane, Belhabib Sofiane
INRAE, Research Unit BIA UR1268, Rue Geraudiere, F-44316 Nantes, France.
Nantes Université, ONIRIS, CNRS, GEPEA, UMR 6144, F-44000 Nantes, France.
Polymers (Basel). 2022 Oct 8;14(19):4221. doi: 10.3390/polym14194221.
Tuning the infill pattern is one of the key features in additive manufacturing to optimise part weight. In this work, the effect of the infill strategy, including rate and pattern type, is studied on the mechanical performance of polylactic acid (PLA)-carbon composite. In particular, three types of patterns and four filling levels are combined. These combinations are evaluated by tensile loading applied on dogbone specimens. In addition, the underlined deformation mechanisms are further explored using filament-based finite element model. The numerical simulation is built from sliced models and converted into 3D meshes to predict tensile performance. The results show that the infill rate has a nonlinear effect on the density of PLA-carbon composites, and its magnitude depends on the complexity of the generated pattern. In addition, tensile loading is found to activate varied modes of shearing and uniaxial deformations depending on the pattern type. This leads to different profiles and rankings of the tensile performance and allows the infill strategy to significantly affect the part performance, along with its density.
调整填充图案是增材制造中优化零件重量的关键特性之一。在这项工作中,研究了包括填充率和图案类型在内的填充策略对聚乳酸(PLA)-碳复合材料力学性能的影响。具体而言,将三种图案类型和四种填充水平进行了组合。通过对狗骨形试样施加拉伸载荷来评估这些组合。此外,使用基于细丝的有限元模型进一步探究了潜在的变形机制。数值模拟基于切片模型构建并转换为三维网格以预测拉伸性能。结果表明,填充率对PLA-碳复合材料的密度具有非线性影响,其影响程度取决于所生成图案的复杂程度。此外,发现拉伸载荷会根据图案类型激活不同的剪切和单轴变形模式。这导致了拉伸性能的不同曲线和排名,并使得填充策略能够连同其密度一起显著影响零件性能。