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基于灰度数字光处理4D打印的冷编程形状变形结构

Cold-programmed shape-morphing structures based on grayscale digital light processing 4D printing.

作者信息

Yue Liang, Sun Xiaohao, Yu Luxia, Li Mingzhe, Montgomery S Macrae, Song Yuyang, Nomura Tsuyoshi, Tanaka Masato, Qi H Jerry

机构信息

The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.

Toyota Research Institute of North America, Toyota Motor North America, Ann Arbor, Michigan, 48105, USA.

出版信息

Nat Commun. 2023 Sep 8;14(1):5519. doi: 10.1038/s41467-023-41170-4.

Abstract

Shape-morphing structures that can reconfigure their shape to adapt to diverse tasks are highly desirable for intelligent machines in many interdisciplinary fields. Shape memory polymers are one of the most widely used stimuli-responsive materials, especially in 3D/4D printing, for fabricating shape-morphing systems. They typically go through a hot-programming step to obtain the shape-morphing capability, which possesses limited freedom of reconfigurability. Cold-programming, which directly deforms the structure into a temporary shape without increasing the temperature, is simple and more versatile but has stringent requirements on material properties. Here, we introduce grayscale digital light processing (g-DLP) based 3D printing as a simple and effective platform for fabricating shape-morphing structures with cold-programming capabilities. With the multimaterial-like printing capability of g-DLP, we develop heterogeneous hinge modules that can be cold-programmed by simply stretching at room temperature. Different configurations can be encoded during 3D printing with the variable distribution and direction of the modular-designed hinges. The hinge module allows controllable independent morphing enabled by cold programming. By leveraging the multimaterial-like printing capability, multi-shape morphing structures are presented. The g-DLP printing with cold-programming morphing strategy demonstrates enormous potential in the design and fabrication of shape-morphing structures.

摘要

对于许多跨学科领域的智能机器而言,能够重新配置形状以适应各种任务的形状变形结构是非常理想的。形状记忆聚合物是应用最广泛的刺激响应材料之一,尤其在3D/4D打印中,用于制造形状变形系统。它们通常要经过热编程步骤才能获得形状变形能力,但其可重构自由度有限。冷编程是在不升高温度的情况下直接将结构变形为临时形状,操作简单且通用性更强,但对材料性能有严格要求。在此,我们介绍基于灰度数字光处理(g-DLP)的3D打印技术,它是一种用于制造具有冷编程能力的形状变形结构的简单有效平台。凭借g-DLP类似多材料的打印能力,我们开发出了异质铰链模块,通过在室温下简单拉伸即可进行冷编程。在3D打印过程中,可以通过模块化设计铰链的可变分布和方向对不同配置进行编码。该铰链模块允许通过冷编程实现可控的独立变形。利用类似多材料的打印能力,展示了多形状变形结构。采用冷编程变形策略的g-DLP打印技术在形状变形结构的设计和制造中显示出巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2323/10491591/27a82eae57bf/41467_2023_41170_Fig1_HTML.jpg

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