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Record W3012262956 · doi:10.2514/1.t5904

Thermal Resistance of a Three-Dimensional Flux Channel with Two-Dimensional Variable Convection

2020· article· en· W3012262956 on OpenAlexafffund
Belal Al-Khamaiseh, Yuri S. Muzychka, Serpil Kocabiyik

Bibliographic record

VenueJournal of Thermophysics and Heat Transfer · 2020
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHeat sinkHeat transfer coefficientMechanicsMaterials scienceHeat fluxHeat transferThermal resistanceConvective heat transferDimensionless quantityThermodynamicsPhysics

Abstract

fetched live from OpenAlex

In the microelectronics industry, heat sinks are used for cooling microelectronic devices by transferring the heat generated by the device into an ambient fluid. In most applications, the heat convection along the sink plane is not uniform due to a nonuniform heat transfer coefficient that might be present according to a nonuniform distribution of the sink extended surfaces (fins or bins) or because of the nonuniform nature of a moving ambient fluid over the sink region. This can be observed when considering a jet impingement or transverse fans as cooling techniques. In this paper, analytical approximate solutions of the temperature field and the thermal resistance of a three-dimensional flux channel with eccentric heat source(s) and a variable heat transfer coefficient that varies in the two horizontal dimensions are developed. The method of the separation of variables combined with the method of least squares is used to develop these solutions. Different parametric studies are conducted to study the effect of two different variable heat transfer coefficient distributions on the dimensionless total thermal resistance of the channel and the temperature distribution along the source plane in comparison with using a uniform heat transfer coefficient. For verification reasons, the analytical results are compared with numerical solution results obtained based on the finite element method using the ANSYS commercial software package.

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 score0.108
Threshold uncertainty score0.456

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 head0.011
GPT teacher head0.188
Teacher spread0.177 · 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

Citations7
Published2020
Admission routes2
Has abstractyes

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