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Record W2054037799 · doi:10.1080/00102202.2014.934577

A Hydrocarbon Droplet Evaporating in Turbulent Environment at Elevated Ambient Pressure and Temperature

2014· article· en· W2054037799 on OpenAlexafffund
Madjid Birouk

Bibliographic record

VenueCombustion Science and Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaBioFuelNet Canada
KeywordsAmbient pressureVaporizationTurbulenceHydrocarbonChemistryBar (unit)DecaneHeptaneMass transferThermodynamicsAnalytical Chemistry (journal)MeteorologyEnvironmental chemistryOrganic chemistryChromatography

Abstract

fetched live from OpenAlex

This study presents new experimental results on the vaporization process of hydrocarbon droplet in a turbulent environment at elevated ambient pressure and temperature conditions. n-Heptane and n-decane, which provide a wide range of hydrocarbons properties, were tested. The initial droplet diameter was on the order of 1 mm, and its surrounding ambient consisted of varying turbulence intensity up to 3.10 m/s, pressure up to 16 bar, and temperature up to 150°C. The results revealed that the hydrocarbon droplet followed the d2-law throughout its entire lifetime under all ambient conditions explored here. Increasing the ambient pressure increases the droplet vaporization lifetime, whereas increasing the ambient temperature reduces the droplet lifetime. More importantly, turbulence becomes more effective as ambient pressure increases, whereas it diminishes with increasing the ambient temperature. The experimental data were used to develop a more comprehensive hydrocarbons droplet mass transfer correlation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.434

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 integrity0.0000.000
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 head0.004
GPT teacher head0.185
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 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

Citations19
Published2014
Admission routes2
Has abstractyes

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