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Record W1994308014 · doi:10.2514/1.t2337tc

Comment on "Cooling Fin Design"

2008· article· en· W1994308014 on OpenAlexaff
H.M. Soliman, A. M. Elazhary

Bibliographic record

VenueJournal of Thermophysics and Heat Transfer · 2008
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFinThermodynamicsThermal conductionHeat transferBoundary value problemMechanicsMaterials scienceHeat transfer coefficientThermal conductivityPhysicsMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

N A recent paper, Bertola and Cafaro [1] posed a design problem for cooling fins whereby the temperature boundary condition at bothends(Tb atthebaseand Tt atthetip)andtheheat fluxatthebase qb were specified, and it was desired to determine the corresponding fin length L. Their analysis appeared to assume a free-ended tip, as indicatedbyFig.1intheirpaper,andtherateofheattransferatthetip was not considered. Their mathematical analysis based on onedimensional, steady-state heat conduction led them to conclude that for fixedvaluesof Tb and Tt,thereisarangeof qb forwhichthereare two possible solutions for L. Bertola and Cafaro attributed the existenceoftwopossible solutionstotheuseofthreeconditions(Tb, Tt, and qb) in solving the pertaining second-order differential equation. It is demonstrated in this Comment that the two solutions, while mathematically possible, correspond to two completely different physical arrangements and thus, they cannot be considered in design as alternative solutions to the same set of conditions. It is also shown that fins with prescribed tip temperature are typically connected to another body at the tip, except for a certain restrictive condition. Consider a fin of uniform cross-sectional area Ac, perimeter P, length L, thermal conductivity k, base temperature Tb, and tip temperature Tt immersed in a medium at a temperature Ta with a uniform convection heat transfer coefficient h (as shown in Fig. 1). The governing energy-balance equation is given by [2–4]

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: none
Teacher disagreement score0.565
Threshold uncertainty score0.355

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 head0.026
GPT teacher head0.215
Teacher spread0.188 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

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