弹性体
变形
材料科学
软机器人
微流控
复合数
3D打印
纳米技术
执行机构
计算机科学
复合材料
人工智能
作者
Chenjing Yang,Yao Xiao,Lingjie Hu,Jingyi Chen,Chun‐Xia Zhao,Peng Zhao,Jian Ruan,Zi Liang Wu,Haifeng Yu,David A. Weitz,Dong Chen
出处
期刊:Small
[Wiley]
日期:2023-01-15
卷期号:19 (11)
被引量:18
标识
DOI:10.1002/smll.202207073
摘要
Elastomers generally possess low Young's modulus and high failure strain, which are widely used in soft robots and intelligent actuators. However, elastomers generally lack diverse functionalities, such as stimulated shape morphing, and a general strategy to implement these functionalities into elastomers is still challenging. Here, a microfluidic 3D droplet printing platform is developed to design composite elastomers architected with arrays of functional droplets. Functional droplets with controlled size, composition, position, and pattern are designed and implemented in the composite elastomers, imparting functional performances to the systems. The composited elastomers are sensitive to stimuli, such as solvent, temperature, and light, and are able to demonstrate multishape (bow- and S-shaped), multimode (gradual and sudden), and multistep (one- and two-step) deformations. Based on the unique properties of droplet-embedded composite elastomers, a variety of stimuli-responsive systems are developed, including designable numbers, biomimetic flowers, and soft robots, and a series of functional performances are achieved, presenting a facile platform to impart diverse functionalities into composite elastomers by microfluidic 3D droplet printing.
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