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Record W4402438709 · doi:10.11159/htff24.208

Optimization Of A Novel Air-Curtain-Sealed Personal Protective Equipment – A CFD Approach

2024· article· en· W4402438709 on OpenAlexvenueno aff
Nuno Rosa, Joel Loureiro, J.J. Costa, Adélio Rodrigues Gaspar, Manuel Gameiro

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaPrograma Operacional Regional do Centro
KeywordsComputational fluid dynamicsComputer scienceMechanical engineeringEnvironmental scienceAutomotive engineeringEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

This paper presents the optimization of a novel air-sealed visor for medical care using computational fluid dynamics (CFD).The personal protective equipment (PPE) provides aerodynamic sealing of the breathing zone, thereby reducing the risk of inhaling droplets and aerosols carrying viruses.To ensure a uniform and stable air-curtain, the air supply system was designed to maintain uniform jet velocities of 0.5 m/s at the forefront jet slots and 1.0 m/s at the lateral jet slots.The main parameters under study are the air curtain stability and the volume of contaminated air in the breathing zone.The impact of tilt angle, velocity of the jets, and human breathing was assessed.Three turbulence models -RNG k-ɛ, SST, and BSL -were tested to assess their suitability for airflow field modeling.

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: none
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.198
Teacher spread0.190 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicWind and Air Flow StudiesFrench-language works237,207