Evidence map›Paper›PMID 41974793›Full record

ArticleScientific reports2026

Droplets formation and diffusion simulation and test of microporous atomizer for robotic immunization spraying.

Zeting Ning, Qifeng Li, Yu Zhao, Qingchun Feng, Ronghua Gao, Xin Guo, Za Kan

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

7 authors.

Zeting NingCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi, 832000, China.
Qifeng LiInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Yu ZhaoIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Qingchun FengIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. fengqc@nercita.org.cn.
Ronghua GaoInformation Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Xin GuoIntelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
Za KanCollege of Mechanical and Electrical Engineering, Shihezi University, Shihezi, 832000, China. kz-shz@163.com.

Funding

National Key Research and Development Program of China 2023YFD2000802
6 · The paper itself

Abstract

To meet the precision spraying of poultry house immunization robots, an immunization sprayer based on microporous atomization is designed to ensure uniform and efficient atomization of immunological reagents. The optimal driving frequency is determined through modal analysis of the piezoelectric atomization plate, which is 113 kHz. Using the resonant frequency-driven droplet generation model, the simulation of single-pore droplet formation is realized, and the initial droplet velocity and diameter are extracted as boundary conditions for input into the droplet diffusion model. This reveals the diffusion and evolution rules of the atomization field, along with the distribution characteristics of velocity and particle size. The atomization diffusion distance in a dynamically stable state is 68.36 cm, with a diffusion range of 32°. Within 15-55 cm from the atomizer, over 90% of droplets have an adequate particle size of 30-200 μm. Practical testing with the VisiSize P15 droplet size measuring instrument showed that the diffusion angle of the stable atomization morphology is approximately 30°, with a diffusion distance of 65 cm. The simulation results show an absolute relative error of less than 7%, while the droplet size distribution has an absolute relative error of less than 10%. For the segmented characteristics of droplet velocity attenuation, the absolute relative error is less than 18%, with an absolute error of less than 0.15 m/s. These results demonstrate that the overall atomization and diffusion effect meet the requirements for immunization spraying.

Indexed as

Droplet diffusion simulationDroplet generation simulationImmunization sprayingMicroporous atomizationModal analysis

Identifiers

PMID41974793
PMCPMC13237005

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