Purdue University , West Lafayette, Indiana 47907, United States.
ACS Appl Mater Interfaces. 2016 Dec 28;8(51):35534-35544. doi: 10.1021/acsami.6b10502. Epub 2016 Dec 15.
Controlling the unit-cell topology of microlattice structures can enable the customization of effective anisotropic material properties. A wide range of properties can be obtained by varying connectivity within the unit cell, which then can be further used to optimize structures specific to applications. A methodology for a systematic generation of microlattice structures is presented that focuses on controlling discrete topology instead of average porosity (as is done in conventional porous media). An algorithm is developed to create valid lattice structures without redundancies from a given set of template nodes. A set of possible permutations of structures from an eight-node cubic octant of a unit cell are generated for evaluation of the degree of anisotropy. Generic models are developed to calculate the effective thermal and mechanical properties as an effect of topology and porosity of the micro-architected structure. The thermal and mechanical anisotropies are investigated for the effective properties of micro-architected materials. A few of the structured materials are fabricated using 3D printing technology and their effective properties characterized. Structures are represented as graphs in the form of adjacency matrices. Effective thermal conductivity is analyzed using a resistance network model, and effective stiffness is evaluated using a self-consistent elastic model, respectively. A total of 160 000 structures are generated and compared to porous-metal foams in which porosity is one of the design variables. The results show that it is possible to obtain a wide range of properties spanning more than an order of magnitude in comparison to porous-metal structures. Structures with a maximum anisotropy ratios of 7.1 and 8.2 are observed for thermal and mechanical properties, respectively. Preliminary experimental results validated the anisotropy ratio for the thermal conductivity and stiffness.
控制微晶格结构的单胞拓扑结构可以实现对有效各向异性材料性能的定制。通过改变单胞内的连通性,可以获得广泛的性能,然后可以进一步用于优化特定于应用的结构。本文提出了一种系统生成微晶格结构的方法,该方法侧重于控制离散拓扑,而不是平均孔隙率(如在传统多孔介质中那样)。开发了一种算法,从给定的模板节点集创建没有冗余的有效晶格结构。为了评估各向异性程度,从单胞的八节点立方八分体生成了一组可能的结构排列。开发了通用模型来计算作为微结构拓扑和孔隙率的有效热和力学性能。研究了微结构材料的有效热和力学各向异性。使用 3D 打印技术制造了一些结构材料,并对其有效性能进行了表征。结构以邻接矩阵的形式表示为图。使用电阻网络模型分析有效热导率,使用自洽弹性模型评估有效刚度。总共生成了 160000 个结构,并与作为设计变量之一的多孔金属泡沫进行了比较。结果表明,与多孔金属结构相比,有可能获得跨越一个数量级的广泛性能。观察到热和机械性能的各向异性比分别为 7.1 和 8.2。初步的实验结果验证了热导率和刚度的各向异性比。