Evidence map›Paper›PMID 35808599›Full record

ArticlePolymers2022

Comparative Investigation on Improved Aerodynamic and Acoustic Performance of Abnormal Rotors by Bionic Edge Design and Rational Material Selection.

Wenda Song, Zhengzhi Mu, Yufei Wang, Zhiyan Zhang, Shuang Zhang, Ze Wang, Bo Li, Junqiu Zhang, Shichao Niu, Zhiwu Han and 1 more

Abstract read
In one paragraph

Article in Polymers, 2022. 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

11 authors.

Wenda SongKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Zhengzhi MuKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.ORCID 0000-0001-9200-5498
Yufei WangKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Zhiyan ZhangKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Shuang ZhangKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Ze WangKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Bo LiKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.ORCID 0000-0002-4839-3224
Junqiu ZhangKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Shichao NiuKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.ORCID 0000-0003-0208-9996
Zhiwu HanKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.
Luquan RenKey Laboratory of Bionic Engineering of Ministry of Education, Jilin University, Changchun 130022, China.

Funding

China Postdoctoral Science Foundation No. 2020M670844China Postdoctoral Science Foundation No. 2021M691205China Postdoctoral Science Foundation No. 2021TQ0121National Postdoctoral Program for Innovative Talents No. BX20190139the Foundation for Innovative Research Groups of the National Natural Science Foundation of China No. 52021003the National Key Research and Development Program of China No. 2018YFA0703300the National Natural Science Foundation of China No. 51835006the National Natural Science Foundation of China No. 51875244the National Natural Science Foundation of China No. 52105298the National Natural Science Foundation of China No. 52105301the National Natural Science Foundation of China No. U19A20103the Open Project of Key Laboratory for Cross-Scale Micro and Nano Manufacturing (Ministry of Education) of Changchun University of Science and Technology CMNM-KF202106
6 · The paper itself

Abstract

Rotor plays a vital role in the dynamical system of an unmanned aerial vehicle (UAV). Prominent aerodynamic and acoustic performance are a long-term pursuit for the rotor. Inspired by excellent quiet flight characteristics of owls, this work adopted bionic edge design and rational material selection strategy to improve aerodynamic and acoustic performance of the rotor. A reference model of rotor prototype with streamlined edges was firstly generated by reverse engineering method. With inspiration from owl wings and feathers, bionic rotors with rational design on leading and trailing edges were obtained. Original and bionic rotors were fabricated with polyamide PA 12 and Resin 9400 by 3D printing technique. Aerodynamic and acoustic performance of the as-fabricated rotors were experimentally measured and analyzed in detail using a self-established test system. Comparative experimental results indicated that the aerodynamic and acoustic performance of the rotors was closely related to the bionic structures, material properties, and rotational speeds. At the same rotational speed, bionic rotor fabricated with Resin 9400 can produce a higher thrust than the prototype one and its power consumption was also reduced. The resulting noise of different bionic rotors and their directivities were comparatively investigated. The results verified the bionic edge design strategy can effectively control the turbulent flow field and smoothly decompose the airflow near the tailing edge, which resulting in enhancing the thrust and reducing the noise. This work could provide beneficial inspiration and strong clues for mechanical engineers and material scientists to design new abnormal rotors with promising aerodynamic and acoustic performance.

Indexed as

abnormal rotoraerodynamic performancebionic designnoise reductionUAV

Identifiers

PMID35808599
PMCPMC9269470

What OpenQuestion holds

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LicenceCC BY
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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.