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Record W2071432477 · doi:10.1115/icnmm2009-82114

The Critical Heat Flux in Nucleate Boiling Heat Transfer: Part I—The Chemical Actuator Mechanism

2009· article· en· W2071432477 on OpenAlexaff
Mahmoud R. Reda

Bibliographic record

VenueASME 2009 7th International Conference on Nanochannels, Microchannels, and Minichannels · 2009
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNucleate boilingBoilingThermodynamicsNucleationHeat transferMechanism (biology)Critical heat fluxWork (physics)Materials scienceHeat fluxMechanicsPhysics

Abstract

fetched live from OpenAlex

Nucleate boiling heat transfer is first introduced and the literature is reviewed. It was concluded that the passive layer and the grain boundaries are responsible for the transfer to the nucleate boiling regime. Based on the recent work of Biener and his collaborators (Nature Material 2008) and the Gibbs rule of thermodynamics, a possible mechanism was outlined. The mechanism assumes that each grain in the passive layer act as a chemical actuator which is driven by microstructure phase change. The new mechanism agrees well with the experimental results, in good agreement with previous models and can explain why and how CHF occurs.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.004
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.025
GPT teacher head0.262
Teacher spread0.237 · 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 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
Published2009
Admission routes1
Has abstractyes

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