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Mechanical Behavior of 3D Printed Stochastic Lattice Structures

机译:3D印刷随机晶格结构的力学行为

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Stochastic lattice structures are modeled using a generative algorithm. In particular, the voronoi tessellation technique is applied for modeling cellular solids with irregular cell geometry and variable strut sections. The ligaments are formed considering the volume and shape characteristics of the voronoi cells. This way, the strut cross section variability is linked to the adjacent cell topology. The developed geometry is used for 3D printing the structures through a high accuracy SLA 3D printer. The mechanical properties of the photosensitive resin were determined by conducting tension experiments on appropriate 3D printed specimens. The printed stochastic structures were subjected to compressive loads in order to investigate their mechanical response. A finite element model of the compressive tests using the generated geometry, is also developed. The calculated results provide a good correlation with the experimental ones and also provide precious insight for the characterization of the mechanical behavior of the tested structures.
机译:随机晶格结构采用生成算法进行建模。特别地,voronoi曲面细分技术用于用不规则的电池几何形状和可变支柱部分建模蜂窝固体。考虑到voronoi细胞的体积和形状特性形成韧带。这样,支柱横截面变异性与相邻的细胞拓扑相连。开发的几何形状用于通过高精度SLA 3D打印机打印结构。通过在适当的3D印刷样品上进行张力实验来测定光敏树脂的机械性能。对印刷的随机结构进行压缩载荷以研究其机械响应。还开发了使用产生的几何体的压缩测试的有限元模型。计算结果与实验结果提供了良好的相关性,并且还提供了珍贵的洞察力,用于表征测试结构的机械行为。

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