4.7 Article

A gradient-distributed liquid-metal hydrogel capable of tunable actuation

期刊

CHEMICAL ENGINEERING JOURNAL
卷 421, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cej.2020.127762

关键词

Thermoresponsive hydrogel; Liquid metal; Gallium; PNIPAM; Bidirectional actuation

资金

  1. Natural Science Foundation of China (NSFC) [U1733130, 11704244]
  2. Shanghai Natural Science Funding [17ZR1441000]
  3. Shanghai Science and Technology Innovation Action Plan [18511109000]
  4. Joint Fund of the Education Ministry of China [6141A02022264]
  5. Medical-Engineering Cross Research Funding of SJTU [YG2017MS01, YG2016QN34]

向作者/读者索取更多资源

This study demonstrates a hydrogel containing gradient-distributed PDA-EGaIn nanodroplets, showing a rapid and tunable thermoresponse, which is suitable for use in grab-release instruments and soft robots.
Although thermoresponsive hydrogels have numerous applications that range from soft robots, biomedical engineering, and actuators to sensors for artificial muscles, the existing hydrogel actuators undergo only unidirectional deformation under a single thermal stimulus and suffer from slow actuation and unstable interfacial adhesion in multiple layers. Herein, hydrogels containing gradient-distributed polydopamine-coated eutectic gallium-indium (PDA-EGaIn) nanodroplets in a poly(N-isopropylacrylamide) (PNIPAM) matrix and thus featuring a gradient distribution of thermal conductivity and an increased barrier towards water loss are shown to be capable of a rapid and tuneable thermoresponse. Notably, whereas hydrogels with a low content of PDAEGaIn undergo rapid one-way bending under a single thermal (45 degrees C) stimulus, those with a high content of PDAEGaIn undergo sequential bidirectional (bending) actuation. The ability of these hydrogels to undergo fast and tuneable actuation under a single thermal stimulus makes them suitable for use in grab-release instruments and soft robots.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据