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Record W2330479303 · doi:10.2514/6.2004-496

Analytical Modeling of Natural Convection in Concentric Spherical Enclosures

2004· article· en· W2330479303 on OpenAlexaff
P. Teertstra, M. M. Yovanovich, J. R. Culham

Bibliographic record

Venue42nd AIAA Aerospace Sciences Meeting and Exhibit · 2004
Typearticle
Languageen
FieldEngineering
TopicNanofluid Flow and Heat Transfer
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsConcentricNatural convectionNatural (archaeology)MechanicsConvectionComputer scienceMaterials scienceEnvironmental sciencePhysicsGeologyGeometryMathematics

Abstract

fetched live from OpenAlex

A modeling procedure is developed for natural convec-tion heat transfer from an isothermal heated sphere lo-cated at the center of an isothermal, cooled, spherical-shaped enclosure. The model is based on the linear superposition of conduction and convection solutions, where the convective component is determined based on a combination of two limiting cases, laminar boundary layer convection and transition flow convection. The model is validated using experimental and numerical data from the literature, including data from an experi-mental test program performed by the authors in a pre-vious publication for four different enclosure configu-rations, 15 dodi 48, over the range of Rayleigh number 10 RaAi 1 10 7. The model accurately predicts the experimental data with an RMS difference of 2- 4 % and is in good agreement with the other data from the literature. Nomenclature A = area; m2 C = coefficient Ccs = Raithby and Hollands16 coefficient d = diameter; m FPr = Prandtl number function g = gravitational acceleration; ms2 GL = body gravity function k = thermal conductivity; WmK ke = effective thermal conductivity, kNuLSL; WmK L = general characteristic length; m

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.226
Teacher spread0.214 · 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

Citations5
Published2004
Admission routes1
Has abstractyes

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