Literature DB >> 31553967

Reversible adhesion to rough surfaces both in and out of water, inspired by the clingfish suction disc.

Jessica A Sandoval1, Saurabh Jadhav, Haocheng Quan, Dimitri D Deheyn, Michael T Tolley.   

Abstract

Adhesion is difficult to achieve on rough surfaces both in air and underwater. In nature, the northern clingfish (Gobiesox maeandricus) has evolved the impressive ability to adhere onto substrates of various shapes and roughnesses, while subject to strong intertidal surges. The suction disc of the clingfish relies on suction and friction to achieve and maintain adhesion. Inspired by this mechanism of attachment, we designed an artificial suction disc and evaluated its adhesive stress on rough surfaces and non-planar geometries. The artificial suction disc achieved adhesion strengths of 10.1  ±  0.3 kPa in air on surfaces of moderate roughness (grain size, 68 µm), and 14.3  ±  1.5 kPa underwater on coarse surfaces (grain size, 269 µm). By comparison, a commercially available suction cup failed to exhibit any significant adhesion in both scenarios. The roughly 2 g heavy clingfish-inspired suction discs gripped concave surfaces with small radii of curvature (12.5 mm) and supported payloads up to 0.7 kg. We correlated the effect of key bioinspired features (i.e. slits, a soft outer layer, and body geometry) to adhesion performance using contact visualization techniques and finite element analysis (FEA). The suction discs were then tested on a remotely operated vehicle (ROV) to demonstrate their utility in the soft manipulation of fragile objects.

Entities:  

Mesh:

Year:  2019        PMID: 31553967     DOI: 10.1088/1748-3190/ab47d1

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  5 in total

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2.  Suction feeding by elephants.

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4.  Design of Under-Actuated Soft Adhesion Actuators for Climbing Robots.

Authors:  Zhipeng Liu; Linsen Xu; Xingcan Liang; Jinfu Liu
Journal:  Sensors (Basel)       Date:  2022-07-28       Impact factor: 3.847

5.  Adaptive Self-Sealing Suction-Based Soft Robotic Gripper.

Authors:  Sukho Song; Dirk-Michael Drotlef; Donghoon Son; Anastasia Koivikko; Metin Sitti
Journal:  Adv Sci (Weinh)       Date:  2021-07-03       Impact factor: 16.806

  5 in total

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