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Record W2071001860 · doi:10.1115/icnmm2011-58303

Models for Pressure Drop for Poiseuille Flow in Trapezoidal and Triangular Microchannels in Silicon

2011· article· en· W2071001860 on OpenAlexaff
M. M. Yovanovich

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMicrochannelPressure dropLaminar flowHagen–Poiseuille equationRectangleMechanicsMaterials scienceHydraulic diameterReynolds numberFlow (mathematics)SiliconMathematicsPhysicsGeometryTurbulence

Abstract

fetched live from OpenAlex

Models, numerical and experimental results for developed laminar flow of liquids in long isosceles trapezoidal and triangular microchannels KOH-etched in < 100 > silicon substrates are reviewed and compared. The equivalent rectangle model (ERM) based on a novel model for the effective aspect ratio was developed for non-circular microchannels; it will be compared with the numerical results of Morini (2004) and McHale and Garimella (2010) as well as the extensive experimental data of Wu and Cheng (2003) for several trapezoidal and triangular microchannels. In addition, a simple correlation equation for all numerical and experimental data (62 points) is presented. The equivalent rectangle model is accurate with rms difference of 3.1%. A maximum difference of −7% occurs for data obtained for flow through four very narrow trapezoidal microchannels.

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: none
Teacher disagreement score0.912
Threshold uncertainty score0.365

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 head0.024
GPT teacher head0.206
Teacher spread0.182 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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