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Record W2762791688 · doi:10.1115/omae2017-61097

Thermal Analysis of Saline Droplet Motion With Cooling in Cold Regions

2017· article· en· W2762791688 on OpenAlexaff
Alireza Dehghani-Sanij, G.F. Naterer, Yuri S. Muzychka, Kevin Pope

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric aerosols and clouds
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsEvaporationMechanicsThermalEvaporative coolerMaterials scienceConvectionHeat transferRelative humidityThermodynamicsHumidityProcess (computing)Physics

Abstract

fetched live from OpenAlex

In this paper, a theoretical approach is employed to analyze the thermal behaviour and study the cooling process of water droplets in cold regions. Additionally, the effect of several parameters, such as air temperature, droplet size, initial droplet temperature, relative humidity and droplet salinity on the cooling process is investigated. The model contains convection, evaporation, and radiation heat transfer from the droplet’s surface and a uniform temperature across the droplet. The results illustrate a good agreement between the theoretical predictions and previously measured data. Furthermore, droplet size, air temperature, initial droplet temperature, and droplet flight time have a substantial effect on the droplet cooling process. This model is a useful tool to investigate the thermal behaviour and the cooling process of water droplets.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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
Published2017
Admission routes1
Has abstractyes

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