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Development and experiments of low frequency ultrasonic electrostatic atomizing nozzle with double resonators

2022· article· en· W4295206968 on OpenAlexaboutno aff
Jianmin Gao, Ke Xu, Rui He, Xiangchao Chen, Mazhar Hussain Tunio

Bibliographic record

VenueInternational journal of agricultural and biological engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsnot available
FundersPriority Academic Program Development of Jiangsu Higher Education InstitutionsNational Natural Science Foundation of China
KeywordsResonatorNozzleMultiphysicsUltrasonic sensorMaterials sciencePiezoelectricityAcousticsSpray nozzleSound intensityComposite materialMechanical engineeringEngineeringStructural engineeringOptoelectronicsPhysicsFinite element method

Abstract

fetched live from OpenAlex

Fine droplets with high adhesion can greatly improve the efficiency of atomization culture. Therefore, the development of a spray nozzle that can produce fine fog droplets with high adhesion is of great significance for aeroponics. Compared to piezoelectric ultrasonic atomizer, Hartmann resonator low-frequency ultrasonic electrostatic atomizer has the advantages of large atomization volume and constant liquid chemical structure, but the droplet size is larger. High-speed gas can generate low-frequency ultrasonic vibration sound waves in Hartmann resonator. The frequency and intensity of sound waves determine the atomization performance of supersonic atomizer nozzle. However, very few research literatures can be found on how the structure and operating parameters of Hartmann resonator affect the atomization performance. In order to improve the atomization performance of ultrasonic atomizer, a two-stage Hartmann resonator low-frequency ultrasonic electrostatic atomizer was designed. The shrinkage-type Laval tube was designed by fluid mechanics theory, and the design results were verified by fluent software. The virtual orthogonal test method was used to optimize the structure parameters of two-stage resonator and spray test was carried out. The results showed that when the included angle between the two stage resonators was 80, the diameter was 4.86 mm, the tube length ratio was 1.0 and the gas pressure was 0.5 MPa, the droplet size could reach 22.05 μm. Additionally, compared with the traditional Hartmann cavity with 90° included angle, the droplet size was decreased by 63%. The annular electrode was used as the charging electrode, and Comsol Multiphysics software was used to simulate and calculate the deformation and crushing process of electrostatic droplets and the influence of different voltage, surface tension and droplet diameter on the droplet deformation rate. The results showed that: (1) the optimum charge range of the electrode ring was within 20 mm of the axial distance along the electrode ring. (2) The higher the voltage U, the smaller the surface tension σ; the larger the droplet diameter d and the larger the droplet deformation rate. (3) The experimental results showed that the droplet size was inversely proportional to the gas pressure P0, electrostatic voltage U and spray height h. When the gas pressure and electrostatic voltage were 0.4 MPa and 18 kV, 0.4 MPa and 18 kV, respectively, the droplet sizes were 7.8 μm and 43.9 μm respectively, the droplet size difference between the two conditions was 82.2%. Keywords: ultrasonic atomization, Laval tube, two-stage resonance tube, electrostatic spray, deformation rupture, simulation analysis DOI: 10.25165/j.ijabe.20221504.6251 Citation: Jianmin Gao, Ke Xu, Rui He, Xiangchao Chen, Mazhar Hussain Tunio. Development and experiments of low frequency ultrasonic electrostatic atomizing nozzle with double resonators. Int J Agric & Biol Eng, 2022; 15(4): 39–48.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.187
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations10
Published2022
Admission routes1
Has abstractyes

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