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Record W2959345733 · doi:10.1109/itherm.2019.8757329

Accurate Modeling of Forced Convection Cooling for Microelectronic Packages: Numerical and Experimental Thermal Studies

2019· article· en· W2959345733 on OpenAlexaff
Mamadou Kabirou Touré, Papa Momar Souaré, Benoît Foisy, Éric Duchesne, Julien Sylvestre

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsForced convectionComputational fluid dynamicsNatural convectionMicroelectronicsMechanicsCoupling (piping)Heat transferWind tunnelHeat transfer coefficientThermalConvectionJunction temperatureMaterials scienceThermodynamicsMechanical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

A bidirectional solid/fluid coupling methodology developed for natural convection [1], [2] has been applied to the case of forced convection. The two-way coupling methodology is compared when using CFD and empirical formulas to determine the heat transfer coefficient at the solid/fluid interface. The numerical results are validated by experimental measurements made according to JESD51-6 standards. The experimental tests employed for the validation are carried out with a wind tunnel which complies with JEDEC standards. The results of the numerical simulations using CFD are in agreement with the experimental measurements of the junction temperature for a range of speeds between 0.5m/s and 4.5m/s and a power of 15W, while the empirical formulas lead to higher errors.

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 score0.383
Threshold uncertainty score0.271

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 head0.019
GPT teacher head0.265
Teacher spread0.246 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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