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Record W2007548779 · doi:10.1115/imece2012-86123

Effects of Film Thickness on Heat Transfer in Taylor Flows Under Constant Wall Heat Flux Boundary Condition

2012· article· en· W2007548779 on OpenAlexaff
Vandad Talimi, Yuri S. Muzychka, Serpil Kocabiyik

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHeat transferHeat fluxMechanicsMaterials scienceFilm temperatureSurface tensionThermodynamicsCapillary actionConstant (computer programming)Heat transfer coefficientFlow (mathematics)Flux (metallurgy)Composite materialPhysicsNusselt number

Abstract

fetched live from OpenAlex

Numerical simulations of heat transfer in two-phase Taylor flows in microchannels have been performed for different film thicknesses. Film thickness has been changed by adjusting surface tension and consequently Capillary number to investigate effects of film thickness on heat transfer processes under constant wall flux boundary condition. As stated in the early literature, film thickness is an important factor in Taylor flow hydrodynamics and governs the ratio between the portion of liquid which is in circulation and the portion which is bypassed through the thin liquid film around gas bubbles. It has been shown that film thickness has to be considered in the heat transfer correlations for this type of flow. Something which has not been considered in previous research.

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 score0.635
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

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