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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 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)0.001
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 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
Published2015
Admission routes1
Has abstractyes

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