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Record W2034912100 · doi:10.5539/apr.v7n1p64

Three-Dimensional Numerical Method for Supercritical Heat Transfer of Hydrocarbon Fuels

2015· article· en· W2034912100 on OpenAlexvenueno aff
Guozhu Zhao, Wenyan Song, Ruoling Zhang

Bibliographic record

VenueApplied Physics Research · 2015
Typearticle
Languageen
FieldEngineering
TopicHeat transfer and supercritical fluids
Canadian institutionsnot available
Fundersnot available
KeywordsSupercritical fluidHeat transferHydrocarbonHydrocarbon mixturesMechanicsMaterials scienceNuclear engineeringThermodynamicsPhysicsChemistry

Abstract

fetched live from OpenAlex

In order to study the regenerative cooling mechanism, a three-dimensional numerical method for supercritical heat transfer of hydrocarbon fuels was established based on the Navier-Stokes equations and a thermophysical properties evaluation code. The supercritical heat transfer behavior of n-decane inside an electrically heated tube and n-dodecane inside a fuel-cooled panel has been computed. Detailed distributions of outer wall temperature and fuel temperature were obtained. The corresponding measurements are adopted to validate the numerical method. The relative deviations of the computational outer wall temperature from the test results are within 6.8%, and those of the fuel temperature are within 1%. Those indicate that the numerical method is reliable, and can be used as an effective tool to investigate the supercritical heat transfer of hydrocarbon fuels.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.846
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.094
GPT teacher head0.362
Teacher spread0.268 · 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 designBench or experimental
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
Published2015
Admission routes1
Has abstractyes

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