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Record W2959085616 · doi:10.18280/i2m.180216

Parametric Study of Uniform Heat Sink Design

2019· article· fr· W2959085616 on OpenAlexvenueno aff
Mahmoud Huleihil

Bibliographic record

VenueInstrumentation Mesure Métrologie · 2019
Typearticle
Languagefr
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsHeat sinkParametric statisticsSink (geography)Environmental scienceMechanicsComputer scienceMathematicsMechanical engineeringEngineeringPhysicsGeographyStatistics

Abstract

fetched live from OpenAlex

The aim of this study is to analyze a single component heat sink design numerically and analytically. The analysis included various modeling assumptions: lumped parameter; one dimensional and two dimensional models. It is shown that the lumped model for the considered problem is capable to accurately predict the steady state temperature of the heat sink with a small discrepancy at the center of the heat sink. Some results are presented graphically for various parameters to show their effect on the steady state temperature of the heat sink including power input; convective heat transfer coefficient; ambient temperature; thickness of the heat sink and the shape of the cross section of the heat sink (circular, ellipsoidal, squared). A few particular applications include single solar cell under high concentration; thermoelectric cooling device and/or high-power led. The findings of the research are twofold: educational and the derived formulae serve as a quick estimate tool to predict the effect of the various parameters on the heat sink temperature and thus aids to estimate the thermodynamic efficiency of the system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.034
GPT teacher head0.273
Teacher spread0.239 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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