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Evaluation of the Curing of Adhesive Systems by Rheological and Thermal Testing
Published on: July 3, 2020
Importance of loading and unloading procedures for gecko-inspired controllable adhesives
John Tamelier1, Sathya Chary, Kimberly L Turner
1Department of Mechanical Engineering, University of California, Santa Barbara, California 93106, United States. john_t@engineering.ucsb.edu
Langmuir : the ACS Journal of Surfaces and Colloids
|July 24, 2013
Summary
Biomimetic dry adhesives can achieve strong adhesion and friction by optimizing loading and unloading procedures. Specific approach angles significantly reduce contact forces, enhancing adhesion performance for gecko-inspired robots.
Area of Science:
- Biomimetics
- Materials Science
- Robotics
Background:
- Biological dry adhesives, like those on gecko feet, demonstrate efficient loading/unloading. Biomimetic dry adhesives lack systematic study of these procedures.
- The influence of approach angle on synthetic dry adhesive performance remains largely unexplored.
Purpose of the Study:
- To investigate how loading and unloading procedures affect preload, adhesion, and shear/friction forces in synthetic dry adhesives.
- To determine the impact of varying approach/retraction angles and shear lengths on adhesive performance.
Main Methods:
- A synthetic adhesive with poly(dimethylsiloxane) fibers was tested using a custom microtribometer.
- 13 approach/retraction angles and 9 shear lengths were systematically varied against a glass substrate.
Main Results:
- Optimal adhesion and friction are achievable across most angles with sufficient shear length.
- Specific approach angles significantly reduced reaction forces during placement.
- A 38-fold increase in adhesion-to-preload force ratio was observed with optimized angles compared to vertical approaches.
Conclusions:
- Loading and unloading procedures, particularly approach angle, are critical for optimizing biomimetic dry adhesive performance.
- Findings provide valuable insights for designing testing protocols and control algorithms for climbing and perching robots.

