4.8 Article

Reversible Wrinkling Surfaces for Enhanced Grip on Wet/Dry Conditions

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 14, 期 42, 页码 48311-48320

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.2c15653

关键词

reversible wrinkling surface; friction; surface pattern; wrinkle; telephone cord buckling; biomimetics

资金

  1. Global Frontier R&D program of the Center for Multiscale Energy System [2012M3A6A7054855]
  2. Basic Science Research Pro-gram
  3. National Research Foundation (NRF) under the Ministry of Science and ICT (MSIT) , Korea [2020R1A2C210113211]
  4. Mid-career research program [2012M3A6A7054855]
  5. [2019R1G1A1100679]

向作者/读者索取更多资源

This study presents a smart switching surface that can generate and remove wrinkles reversibly to adapt to both wet and dry environments, enabling robots to complete tasks in different conditions. The wrinkles on denser and smaller hexagonal patterns generate six times more friction than non-switching flat surfaces in wet environments, and a similar amount of friction to the flat surfaces in dry environments.
Friction is important in material design for robotic systems that need to perform tasks regardless of environmental changes. Generally, robotic systems lose their friction in wet environments and fail to accomplish their tasks. Despite the significance of maintaining friction in dry and wet environments, it is still challenging. Here, we report a smart switching surface, which helps to complete missions in both wet and dry environments. Inspired by the reversible wrinkling mechanism of a human finger, the surface reversibly generates and removes wrinkles to adapt to both environments using volume-changing characteristics of the Nafion film. The switchable surfaces with manipulated wrinkle morphologies via patterns of diverse densities, sizes, and shapes induce a relationship between the wrinkle morphologies and friction: wrinkles on denser and smaller hexagonal patterns generate six times more friction than non-switching flat surfaces in wet environments and a similar amount of friction to the flat surfaces in dry environments. In addition, the wrinkle morphologies according to the patterns are predicted through numerical simulation, which is in good agreement with experimental results. This work presents potential applications in robotic systems that are required to perform in and out of water and paves the way for further understanding of wrinkling dynamics, manipulation, and evolutionary function in skin.

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