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通过机械坚固的共价适应性网络形状记忆聚合物实现的可重构4D打印。

Reconfigurable 4D printing via mechanically robust covalent adaptable network shape memory polymer.

作者信息

Li Honggeng, Zhang Biao, Ye Haitao, Jian Bingcong, He Xiangnan, Cheng Jianxiang, Sun Zechu, Wang Rong, Chen Zhe, Lin Ji, Xiao Rui, Liu Qingjiang, Ge Qi

机构信息

Shenzhen Key Laboratory of Soft Mechanics & Smart Manufacturing, Southern University of Science and Technology, Shenzhen, China.

Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China.

出版信息

Sci Adv. 2024 May 17;10(20):eadl4387. doi: 10.1126/sciadv.adl4387. Epub 2024 May 15.

Abstract

4D printing enables 3D printed structures to change shape over "time" in response to environmental stimulus. Because of relatively high modulus, shape memory polymers (SMPs) have been widely used for 4D printing. However, most SMPs for 4D printing are thermosets, which only have one permanent shape. Despite the efforts that implement covalent adaptable networks (CANs) into SMPs to achieve shape reconfigurability, weak thermomechanical properties of the current CAN-SMPs exclude them from practical applications. Here, we report reconfigurable 4D printing via mechanically robust CAN-SMPs (MRC-SMPs), which have high deformability at both programming and reconfiguration temperatures (>1400%), high (75°C), and high room temperature modulus (1.06 GPa). The high printability for DLP high-resolution 3D printing allows MRC-SMPs to create highly complex SMP 3D structures that can be reconfigured multiple times under large deformation. The demonstrations show that the reconfigurable 4D printing allows one printed SMP structure to fulfill multiple tasks.

摘要

4D打印使3D打印结构能够随着“时间”变化形状,以响应环境刺激。由于相对较高的模量,形状记忆聚合物(SMP)已被广泛用于4D打印。然而,大多数用于4D打印的SMP是热固性材料,它们只有一种永久形状。尽管人们努力将共价适应性网络(CAN)引入SMP以实现形状可重构性,但当前CAN-SMP的热机械性能较弱,使其无法应用于实际。在此,我们报道了通过机械坚固的CAN-SMP(MRC-SMP)进行的可重构4D打印,该材料在编程温度和重构温度下均具有高变形性(>1400%)、高玻璃化转变温度(75°C)和高室温模量(1.06 GPa)。DLP高分辨率3D打印的高可打印性使MRC-SMP能够创建高度复杂的SMP 3D结构,这些结构在大变形下可多次重构。演示表明,可重构4D打印使一个打印的SMP结构能够完成多项任务。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ef/11095468/df984eee82f8/sciadv.adl4387-f1.jpg

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