Inverse-designed spinodoid metamaterials
Inverse-designed spinodoid metamaterials
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DOI：
10.1038/s41524-020-0341-6
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发表时间：
2020-06-05
影响因子：
9.7
通讯作者：
Kochmann, Dennis M.
中科院分区：
文献类型：
--
作者：
Kumar, Siddhant;Tan, Stephanie;Kochmann, Dennis M.
在十年来，基于周期的桁架、平板和壳体结构主导了超材料的设计之后，我们引入了非周期类的棘点拓扑。受自然自组装过程的启发，棘突超材料非常接近于在调幅节点相分离过程中观察到的微观结构。它们的理论参数化非常简单，以至于人们可以绕过昂贵的相场模拟，获得丰富且无缝可调的属性空间。与直觉相反的是，打破了经典超材料的周期性，是促成大物业空间和引入无缝功能分级的能力的因素。我们引入了一种高效和健壮的机器学习技术来进行(元)材料的逆设计，当应用到螺旋面拓扑结构时，它使我们能够生成具有定制的方向相关(各向异性)硬度和密度的均匀和功能梯度的细胞力学超材料。我们特别提出了仿生人工骨结构，它不仅准确地再现了松质骨的特性，而且在几何上与自然骨相似。
After a decade of periodic truss-, plate-, and shell-based architectures having dominated the design of metamaterials, we introduce the non-periodic class of spinodoid topologies. Inspired by natural self-assembly processes, spinodoid metamaterials are a close approximation of microstructures observed during spinodal phase separation. Their theoretical parametrization is so intriguingly simple that one can bypass costly phase-field simulations and obtain a rich and seamlessly tunable property space. Counter-intuitively, breaking with the periodicity of classical metamaterials is the enabling factor to the large property space and the ability to introduce seamless functional grading. We introduce an efficient and robust machine learning technique for the inverse design of (meta-)materials which, when applied to spinodoid topologies, enables us to generate uniform and functionally graded cellular mechanical metamaterials with tailored direction-dependent (anisotropic) stiffness and density. We specifically present biomimetic artificial bone architectures that not only reproduce the properties of trabecular bone accurately but also even geometrically resemble natural bone.