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Acta Biomaterialia
Article . 2005 . Peer-reviewed
License: CC BY NC ND
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Acta Biomaterialia
Article
License: CC BY NC ND
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Acta Biomaterialia
Article . 2005
License: CC BY NC ND
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Article . 2005
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Adhesion design maps for bio-inspired attachment systems

Authors: Spolenak, R.; Gorb, S.; Arzt, E.;

Adhesion design maps for bio-inspired attachment systems

Abstract

Fibrous surface structures can improve the adhesion of objects to other surfaces. Animals, such as flies and geckos, take advantage of this principle by developing "hairy" contact structures which ensure controlled and repeatable adhesion and detachment. Mathematical models for fiber adhesion predict pronounced dependencies of contact performance on the geometry and the elastic properties of the fibers. In this paper the limits of such contacts imposed by fiber strength, fiber condensation, compliance, and ideal contact strength are modeled for spherical contact tips. Based on this, we introduce the concept of "adhesion design maps" which visualize the predicted mechanical behavior. The maps are useful for understanding biological systems and for guiding experimentation to achieve optimum artificial contacts.

Keywords

Design, Surface Properties, Biomedical Engineering, Biophysics, Attachment, Dry adhesives, Biocompatible Materials, Biochemistry, Models, Biological, Biophysical Phenomena, Biomaterials, Materials Testing, Animals, Young’s modulus, Materials selection, Molecular Biology, Surface patterning, Diptera, Adhesiveness, Spiders, Models, Theoretical, Elasticity, Biomechanical Phenomena, Contact mechanics, Adhesion, Microscopy, Electron, Scanning, JKR theory, Shapes, Locomotion, Biotechnology

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    247
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
247
Top 1%
Top 1%
Top 1%
hybrid