Toyota Research Institute of North America, Toyota Motor North America, Ann Arbor, MI 48105, USA.
The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Sci Adv. 2023 Feb 10;9(6):eade4381. doi: 10.1126/sciadv.ade4381.
Turing patterns are self-organizing stripes or spots widely found in biological systems and nature. Although inspiring, their applications are limited. Inflatable shape-morphing structures have attracted substantial research attention. Traditional inflatable structures use isotropic materials with geometrical features to achieve shape morphing. Recently, gradient-based optimization methods have been used to design these structures. These methods assume anisotropic materials whose orientation can vary freely. However, this assumption makes fabrication a considerable challenge by methods such as additive manufacturing, which print isotropic materials. Here, we present a methodology of using Turing patterns to bridge this gap. Specifically, we use Turing patterns to convert a design with distributed anisotropic materials to a distribution with two materials, which can be fabricated by grayscale digital light processing 3D printing. This work suggests that it is possible to apply patterns in biological systems and nature to engineering composites and offers new concepts for future material design.
图灵模式是在生物系统和自然界中广泛存在的自组织条纹或斑点。尽管具有启发性，但它们的应用受到限制。充气形状变形结构引起了大量研究关注。传统的充气结构使用各向同性材料和具有几何特征的结构来实现形状变形。最近，基于梯度的优化方法已被用于设计这些结构。这些方法假设各向异性材料的方向可以自由变化。然而，这种假设使得制造成为一个相当大的挑战，例如增材制造，它打印各向同性材料。在这里，我们提出了一种使用图灵模式来弥合这一差距的方法。具体来说，我们使用图灵模式将具有分布式各向异性材料的设计转换为具有两种材料的分布，这可以通过灰度数字光处理 3D 打印来制造。这项工作表明，有可能将生物系统和自然界中的模式应用于工程复合材料，并为未来的材料设计提供了新的概念。
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