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Record W2154485650 · doi:10.1109/itherm.2004.1318252

Review and assessment of Pulsating Heat Pipe mechanism for high heat flux electronic cooling

2004· article· en· W2154485650 on OpenAlexaff
Gholamreza Karimi, J. R. Culham

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHeat sinkHeat pipeHeat transferHeat fluxHeat spreaderMaterials scienceThermal resistanceHigh heatMechanical engineeringDiamondMechanicsNuclear engineeringThermodynamicsComposite materialEngineeringPhysics

Abstract

fetched live from OpenAlex

Pulsating Heat Pipe (PHP) assisted heat sinks/chips present significantly lower spreading resistance, resulting in a higher heat removal capacity and more uniform temperature in electronic components and provide more packaging flexibilities. Theoretical and experimental investigations have shown that PHPs' heat spreading performance can be as high as that of diamond substrate. This article reviews some of the fundamental mechanisms involved in a PHP operation. The effectiveness of PHPs is presented in terms of heat transfer capacity, flexibilities, and limitations. The performance of a simple heat sink with and without an embedded heat pipe is also evaluated numerically.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations46
Published2004
Admission routes1
Has abstractyes

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