The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Adhesion design maps for bio-inspired attachment systems
Open accessAbstract
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.
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Cites
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Cited by
Biological materials: Structure and mechanical properties
Meyers, M. A., Chen, P.-Y., Lin, A. Y.-M., & Seki, Y. (2008) · Progress in Materials Science · doi:10.1016/j.pmatsci.2007.05.002 · Cited by 2,573
A reversible wet/dry adhesive inspired by mussels and geckos
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Fracture and adhesion of soft materials: a review
Creton, C., & Ciccotti, M. (2016) · Reports on Progress in Physics · doi:10.1088/0034-4885/79/4/046601 · Cited by 915
Evidence for self-cleaning in gecko setae
Hansen, W. R., & Autumn, K. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0408304102 · Cited by 601
A nontransferring dry adhesive with hierarchical polymer nanohairs
Jeong, H. E., Lee, J.-K., Kim, H. N., Moon, S. H., & Suh, K. Y. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900323106 · Cited by 558
Metadata
- Authors
- Spolenak, R., Gorb, S., & Arzt, E.
- Venue
- Acta Biomaterialia
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 1
- Issue
- 1
- Pages
- 5-13
- ISSN
- 1742-7061 (ISSN-L)
- OpenAlex
- W1980934905
- Cited by
- 278
- References
- 33
- FWCI
- 24.15
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
