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Record W2143853610 · doi:10.2514/2.6595

Laminar Forced Convection Modeling of Isothermal Rectangular Plates

2001· article· en· W2143853610 on OpenAlexaff
M. M. Yovanovich, P. Teertstra

Bibliographic record

VenueJournal of Thermophysics and Heat Transfer · 2001
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLaminar flowForced convectionMaterials scienceMechanicsIsothermal processConvectionHeat transferCombined forced and natural convectionNatural convectionThermodynamicsPhysics

Abstract

fetched live from OpenAlex

A composite model for area-average Nusselt number for forced, laminar ow parallel to a nite, isothermal rectangular plate for a wide range of Reynolds numbers is proposed. The correlation equation is based on the superposition of the dimensionless shape factor and a modi ed laminar ow boundary-layer asymptote with an empirically determined interpolation parameter. The Nusselt and Reynolds numbers and the dimensionless shape factor are based on either the rectangle side dimension parallel to the ow direction or the square root of the heat transfer area. The proposed correlation equationsare applicable to rectangles with side dimensionratios in a range from 1 to 10. Extensive numerical results were used to nd the optimal values of the interpolation parameter to provide close agreement between the correlation equation predictions and the numerical values. Nomenclature A = plate surface area,´L £W, m2 C;CT = boundary-layersolution coef cients F.Pr / = Prandtl number function, Eq. (14) h = convective coef cient, W/m2K k = thermal conductivity,W/mK L = long plate dimension, m L = general length scale, m NuL = Nusselt number,´QL=kA.Tw ¡ T1/ n = interpolationparameter, Eq. (18)

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.482

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 head0.010
GPT teacher head0.191
Teacher spread0.181 · 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

Citations7
Published2001
Admission routes1
Has abstractyes

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