Force space studies of elastomeric anisotropic fibrillar adhesives

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Abstract/Contents

Abstract
Previous research into the climbing ability of the gecko lizard has revealed an adhesive system fundamentally different from existing synthetic adhesives. Instead of using a soft material, the gecko uses a complex system of hairs of beta-keratin, a material that is not tacky. This unique architecture affords the adhesive characteristics that make it well suited for climbing. Borrowing themes from the gecko, we developed a synthetic adhesive possessing similar properties using molded arrays of micron-scale silicone pillars. These arrays demonstrate the gecko property of frictional adhesion where increased shear stress at the interface leads to increased normal load capacity. To distinguish between intrinsic and emergent behavior, we also isolated single pillars to test on a dual-axis force-sensing cantilever capable of micro-Newton resolution. We observed that gecko-like properties were observed for tapered pillars but not for pillars of uniform cross-section. Most synthetic adhesive architectures use a uniform cross-section beam but the results presented here suggest such a design does not capture gecko-like behavior. These results point to ways to optimize the type of adhesion demonstrated by the synthetic dry adhesives and to create adhesives tailored for climbing or static applications.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2010
Issuance monographic
Language English

Creators/Contributors

Associated with Soto, Daniel Ruben
Associated with Stanford University, Department of Applied Physics
Primary advisor Kenny, Thomas William
Primary advisor Moler, Kathryn A
Thesis advisor Kenny, Thomas William
Thesis advisor Moler, Kathryn A
Thesis advisor Cutkosky, Mark R
Advisor Cutkosky, Mark R

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Daniel Ruben Soto.
Note Submitted to the Department of Applied Physics.
Thesis Thesis (Ph.D.)--Stanford University, 2010.
Location electronic resource

Access conditions

Copyright
© 2010 by Daniel Ruben Soto
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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