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MODELS FOR PRESSURE DROP AND HEAT TRANSFER IN AIR COOLED COMPACT WAVY FIN HEAT EXCHANGERS

2011· article· en· W2039780870 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnhanced heat transfer/Journal of enhanced heat transfer · 2011
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsReynolds numberMechanicsFinPressure dropPrandtl numberHeat transferHeat exchangerBoundary layerLaminar flowMaterials scienceThermodynamicsAnnular finPhysicsHeat transfer coefficientTurbulence

Abstract

fetched live from OpenAlex

A detailed review and analysis of the thermal-hydrodynamic characteristics in air-cooled compact wavy fin heat exchangers is presented. New models are proposed which simplify the prediction of the Fanning friction factor f and the Colburn j factor. These new models are developed by combining the asymptotic behavior for the low Reynolds number and laminar boundary layer regions. In these two regions, the models are developed by taking into account the geometric variables such as: fin height (H), fin spacing (S), wave amplitude (A), fin wavelength (λ), Reynolds number (Re), and Prandtl number (Pr). The proposed models are compared with numerical and experimental data for air at different values of the geometric variables obtained from the published literature. The new models for f and j cover a wide range of the Reynolds number. Since the model is based analytically, it will also allow for proper design assessment of heat exchanger performance.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.002
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 head0.026
GPT teacher head0.235
Teacher spread0.209 · 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