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Cited by 265

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

3D printing antagonistic systems of artificial muscle using projection stereolithography

Open access
Peele, Bryan N, Wallin, Thomas J, Zhao, Huichan, Shepherd, Robert F·2015·Bioinspiration & Biomimetics

Abstract

The detailed mechanical design of a digital mask projection stereolithgraphy system is described for the 3D printing of soft actuators. A commercially available, photopolymerizable elastomeric material is identified and characterized in its liquid and solid form using rheological and tensile testing. Its capabilities for use in directly printing high degree of freedom (DOF), soft actuators is assessed. An outcome is the ∼40% strain to failure of the printed elastomer structures. Using the resulting material properties, numerical simulations of pleated actuator architectures are analyzed to reduce stress concentration and increase actuation amplitudes. Antagonistic pairs of pleated actuators are then fabricated and tested for four-DOF, tentacle-like motion. These antagonistic pairs are shown to sweep through their full range of motion (∼180°) with a period of less than 70 ms.

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Crossref · 10.1088/1748-3190/10/5/055003

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Metadata

Authors
Peele, B. N., Wallin, T. J., Zhao, H., & Shepherd, R. F.
Venue
Bioinspiration & Biomimetics
Published
2015-09-09
Volume
10
Issue
5
Pages
055003
ISSN
  • 1748-3182 (ISSN-L)
  • 1748-3190
OpenAlex
W1659783416
Cited by
265
References
1
FWCI
10.07
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: 3D printing antagonistic systems of artificial muscle using projection stereolithography. https://app.cochat.ai/papers/10.1088/1748-3190/10/5/055003
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Peele, B. N., Wallin, T. J., Zhao, H., & Shepherd, R. F. (2015). 3D printing antagonistic systems of artificial muscle using projection stereolithography. Bioinspiration & Biomimetics. https://doi.org/10.1088/1748-3190/10/5/055003

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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.