Evidence map›Paper›PMID 40136828›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Numerical Analysis of the Aerodynamic Interactions in Tandem Flying Snake Airfoils.

Yuchen Gong, Jiacheng Guo, Alexander He, Ye Sun, Haibo Dong

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yuchen GongDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-4614-9164
Jiacheng GuoDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0003-3238-4275
Alexander HeDepartment of Aerospace Engineering, University of Maryland, College Park, MD 20740, USA.
Ye SunDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.
Haibo DongDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0001-7823-7014

Funding

U.S. National Science Foundation 2135620U.S. National Science Foundation CBET-2027534
6 · The paper itself

Abstract

During gliding, flying snakes flatten their ribs to create an airfoil-like cross-section and adopt S-shape postures, allowing upstream body segments to generate wake structures that affect the aerodynamic performance of downstream segments. This study investigates these interactions using numerical simulations of two-dimensional snake cross-sectional airfoils. By employing an immersed-boundary-method-based incompressible flow solver with tree topological local mesh refinement, various foil positions and movements were analyzed. The results show that aligning the downstream foil with the upstream foil reduces lift production by 86.5% and drag by 96.3%, leading to a 3.77-fold increase in the lift-to-drag ratio compared to a single airfoil. This improvement is attributed to the vortex-wedge interaction between the upstream vortex and the following foil's leading edge (wedge), which enhances the gliding efficiency of the posterior body. Furthermore, integrating specific pitching motions with coordinated vortex shedding could further optimize its lift production. These findings provide valuable insights into the aerodynamics of tandem flying snake airfoils, offering guidance for configuring optimal body postures for improving gliding efficiency.

Indexed as

computational fluid dynamicsflying snake glidingtandem airfoilsvortex dynamics

Identifiers

PMID40136828
PMCPMC11940367

What OpenQuestion holds

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LicenceCC BY
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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.