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Cited by 508

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

The selection of mechanical actuators based on performance indices

Huber, J. E., Fleck, N. A., Ashby, M. F.·1997·Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

Abstract

A method is presented for selecting the type of actuator best suited to a given task, in the early stages of engineering design. The selection is based on matching performance characteristics of the actuator, such as force and displacement, to the requirements of the given task. The performance characteristics are estimated from manufacturers' data and from simple models of performance limitation such as heat generation and resonance. Characteristics are presented in a graphical form which allows for a direct and systematic comparison of widely different systems of actuation. The actuators considered include man-made actuators (such as hydraulic, solenoid and shape memory alloy) and naturally occurring actuators (such as the muscles of animals and plants).

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Crossref · 10.1098/rspa.1997.0117

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Metadata

Authors
Huber, J. E., Fleck, N. A., & Ashby, M. F.
Venue
Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
Published
1997-10-08
Volume
453
Issue
1965
Pages
2185-2205
ISSN
  • 1364-5021 (ISSN-L)
  • 1471-2946
OpenAlex
W2093061150
Cited by
508
References
17
FWCI
1.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The selection of mechanical actuators based on performance indices. https://app.cochat.ai/papers/10.1098/rspa.1997.0117
The paper
Huber, J. E., Fleck, N. A., & Ashby, M. F. (1997). The selection of mechanical actuators based on performance indices. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rspa.1997.0117

Data sources

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.