Evidence map›Paper›PMID 39587172›Full record

ArticleScientific reports2024

Double-spiral as a bio-inspired functional element in engineering design.

Mohsen Jafarpour, Mohammad Aryayi, Stanislav N Gorb, Hamed Rajabi

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mohsen JafarpourFunctional Morphology and Biomechanics, Institute of Zoology, Kiel University, 24118, Kiel, Germany. mjafarpour@zoologie.uni-kiel.de.ORCID http://orcid.org/0000-0002-6814-6802
Mohammad AryayiUniversity of Burgundy, 21000, Dijon, France.ORCID http://orcid.org/0009-0003-9187-639X
Stanislav N GorbFunctional Morphology and Biomechanics, Institute of Zoology, Kiel University, 24118, Kiel, Germany.ORCID http://orcid.org/0000-0001-9712-7953
Hamed RajabiDivision of Mechanical Engineering and Design, School of Engineering, London South Bank University, London, SE1 0AA, UK.ORCID http://orcid.org/0000-0002-1792-3325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spiral, one of the most well-known functional patterns in nature that can be observed in structures such as the proboscis of lepidoptera and snail shells or as vortices forming in flowing fluids, has long served as a source of inspiration for humans in the creation of numerous spiral-based designs. Double-spiral is a design derived from spirals, which has been previously presented and utilized as a compliant joint. Advantageous properties of double-spirals, such as easily adjustable design, multiple degrees of freedom, reversible extensibility, and tunable deformability make them promising candidates for the development of mechanically intelligent structures that exhibit unique behavior and reach desired functions, such as soft grippers, continuum manipulators, energy-dissipative structures, and foldable metamaterials. In this article, we first develop the Double-Spiral Design software to facilitate the design and modeling of double-spirals. We then design and manufacture five different spiral-based structures using three-dimensional (3D) printing, including (1) a freeform passive gripper, (2) a highly extensible enveloping gripper, (3) a mechanical interlocking structure, (4) an adaptive energy-dissipative structure, and (5) a compliant planar joint. Through practical experimentation, we test the functionality of the developed structures and showcase the potential of double-spirals for being used in various technical applications. This study represents a significant step towards a better understanding of double-spirals and demonstrates their broad but unexplored potential in engineering design.

Indexed as

3D printingAdaptive structuresBio-inspired designBiomimeticsSoft robotics

Identifiers

PMID39587172
PMCPMC11589583

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.