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Record W7081964089 · doi:10.11159/htff25.251

Numerical Analysis of Pulsed Electric Field Effects on Droplet Dynamics in Electrostatic Rotary Bell Spraying

2025· article· en· W7081964089 on OpenAlexvenueno aff

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2025
Typearticle
Languageen
FieldComputer Science
TopicData Analysis with R
Canadian institutionsnot available
FundersCentre for Mechanical and Aerospace Science and Technologies, University of Beira InteriorFundação para a Ciência e a TecnologiaMinistério da Ciência, Tecnologia e Ensino Superior
KeywordsNumerical analysisElectric fieldDynamics (music)Field (mathematics)Computer simulation

Abstract

fetched live from OpenAlex

This study presents a comprehensive 3D Eulerian-Lagrangian analysis of droplet behavior in an electrostatic rotary bell sprayer operating under pulsed electric fields.The simulations are performed using OpenFOAM, incorporating a Large Eddy Simulation (LES) turbulence model to capture the complex, high-Reynolds-number airflow typical of industrial spray system, along with spray dynamics, electric field modeling, and droplet tracking.The results highlight how pulsed voltage parameters influence droplet dispersion patterns, transfer efficiency and coating uniformity.These findings offer new insights for optimizing electrostatic spray technologies and demonstrate the potential of pulsating electric fields to improve energy efficiency and coating performance in automotive and other industrial applications.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.002
GPT teacher head0.204
Teacher spread0.202 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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