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Record W2306832517 · doi:10.1109/tia.2015.2498898

Charging Level of a Ligament-Droplet System Atomized in a Uniform Electric Field

2015· article· en· W2306832517 on OpenAlexafffund
Husam Osman, Osameh Ghazian, Kazimierz Adamiak, G.S.P. Castle, Hua-Tzu Fan, Joseph Simmer

Bibliographic record

VenueIEEE Transactions on Industry Applications · 2015
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaCMC MicrosystemsGeneral Motors Corporation
KeywordsElectric fieldRADIUSMechanicsBreakupLigamentRange (aeronautics)Particle (ecology)Charge (physics)Electric chargeMaterials scienceChemistryPhysicsClassical mechanicsComposite material

Abstract

fetched live from OpenAlex

In this paper, a numerical algorithm has been formulated for calculating the charge magnitude on a spherical droplet created by breakup of a cylindrical ligament in an external electric field. The algorithm is based on the finite-element method and it determines the droplet charge as a function of the droplet radius and ligament length. It has been found that the droplet charge is a function of particle radius to some exponent, which is equal to 2 when the droplet is in direct contact with the atomizer and decreases dramatically to approach 1.1, as the ligament length increases. The effect of the ligament radius on the charging level has been found to be significant and increases with the ligament length. It was determined that the charging level is affected by the presence of adjacent ligaments and previously ejected droplets. To investigate the dynamics of the droplet atomization, the Navier-Stokes equations, describing the fluid motion, as well as the level-set equation for tracking the interfaces between air and liquid have been solved. A comparison between the charging level of the dynamically formed droplets and an assumed spherical one has been presented. It has been found that the predicted charging level of the spherical droplet is lower than the one of the actual shape in the range 15%-26%.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

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

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 head0.031
GPT teacher head0.244
Teacher spread0.214 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

Quick stats

Citations4
Published2015
Admission routes2
Has abstractyes

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