Evidence map›Paper›PMID 39194431›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Investigating the Influence of Counterflow Regions on the Hydrodynamic Performance of Biomimetic Robotic Fish.

Yanling Gong, Ming Wang, Qianchuan Zhao, Ruilong Wang, Lingchen Zuo, Xuehan Zheng, He Gao

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Yanling GongSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.ORCID 0009-0005-9855-5227
Ming WangSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.ORCID 0000-0001-6944-3123
Qianchuan ZhaoDepartment of Automation, Tsinghua University, Beijing 100084, China.ORCID 0000-0002-7952-5621
Ruilong WangSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
Lingchen ZuoSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
Xuehan ZhengSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
He GaoSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.

Funding

National Natural Science Foundation of China 62073196
6 · The paper itself

Abstract

Biomimetic robotic fish are a novel approach to studying quiet, highly agile, and efficient underwater propulsion systems, attracting significant interest from experts in robotics and engineering. These versatile robots showcase their ability to operate effectively in various water conditions. Nevertheless, the comprehension of the swimming mechanics and the evolution of the flow field of flexible robots in counterflow regions is still unknown. This paper presents a framework for the self-propulsion of robotic fish that imitates biological characteristics. The method utilizes computational fluid dynamics to analyze the hydrodynamic efficiency of the organisms at different frequencies of tail movement, under both still and opposing flow circumstances. Moreover, this study clarifies the mechanisms that explain how changes in the aquatic environment affect the speed and efficiency of propulsion. It also examines the most effective swimming tactics for places with counterflow. The results suggest that the propulsion effectiveness of robotic fish in counterflow locations does not consistently correspond to various tail-beat frequencies. By utilizing vorticity maps, a comparative analysis can identify situations when counterflow zones improve the efficiency of propulsion.

Indexed as

biomimetic robotic fishcomputational fluid dynamicscountercurrent waterspropulsive efficiency

Identifiers

PMID39194431
PMCPMC11352019

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.