MétaCan
Menu
Back to cohort
Record W2331411292 · doi:10.2514/6.2006-3412

Flow Boiling Oscillations in Microchannel Heat Sinks

2006· article· en· W2331411292 on OpenAlexaff
R. Muwanga, Ibrahim Hassan

Bibliographic record

Venue9th AIAA/ASME Joint Thermophysics and Heat Transfer Conference · 2006
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsMicrochannelBoilingFlow boilingHeat sinkMechanicsFlow (mathematics)Nucleate boilingMaterials scienceThermodynamicsHeat transferPhysicsHeat flux

Abstract

fetched live from OpenAlex

*† The following presents flow boiling oscillation characteristics in two silicon microchannel heat sink configurations aimed at micro/nano- spacecraft thermal management. One is a conventional heat sink with 45 parallel channels, whereas the second is similar except with cross-links at 3 locations along the channels. Data are presented over a flow range of 20 to 50 ml/min using distilled water as the working fluid. The heat sinks have a footprint area of 3.5 cm 2 and contain 269 µm wide by 283 µm deep DRIE channels. Flow boiling oscillations are found to be similar in characteristic trends between the two configurations, showing a decreasing frequency with increasing heat flux. The oscillation amplitudes are relatively large, but identical in frequency and phase between the inlet and outlet temperature, inlet pressure and pressure drop. Data for the standard heat sink at two different inlet temperatures and various flow rate, show an increasing frequency trend with decreasing inlet temperature, whereas an increasing frequency with increasing flow rate. Although limited data is presented on the cross-linked configuration, this work presents a first glimpse of their characteristics under two-phase flow conditions.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.193
Teacher spread0.176 · 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 designBench or experimental
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

Citations3
Published2006
Admission routes1
Has abstractyes

Explore more

Same venue9th AIAA/ASME Joint Thermophysics and Heat Transfer ConferenceSame topicHeat Transfer and Boiling StudiesFrench-language works237,207