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Record W2110286761 · doi:10.1115/icnmm2011-58004

Experimental Investigation of a Scaled-Up Passive Curved Channel Micromixer With Slanted Grooves

2011· article· en· W2110286761 on OpenAlexaff
Kristina J. Cook, Ibrahim Hassan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsConcordia University
Fundersnot available
KeywordsMicromixerVortexFlow visualizationSecondary flowFlow (mathematics)Reynolds numberMechanicsPlane (geometry)Materials scienceGeometryOpen-channel flowChannel (broadcasting)Laminar flowOpticsPhysicsElectrical engineeringEngineeringMicrofluidicsNanotechnologyMathematics

Abstract

fetched live from OpenAlex

The flow patterns and concentration distribution in a passive scaled-up micromixer is investigated experimentally over 5 ≤ Re ≤ 100. Four meandering elements serve to enlarge species interface area through the formation of Dean vortices, while 36 slanted grooved structures enhance secondary flow by promoting helical flow. The alternating direction of the curved channel segments and slanted grooves alternated the direction of secondary flow, increasing mixing. Flow visualization provides flow pattern information as seen from the top view, while induced fluorescence provides concentration distribution information at the outlet along the center plane. At low Re (Re = 5), species appear nearly horizontally stacked at the outlet, with a curved interface. As the Reynolds number increases, the angle the species interface makes with the horizontal direction increases due to the increased strength in rotational flow. At higher Re, the formation of Dean vortices is apparent.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.184
Teacher spread0.171 · 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 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

Citations1
Published2011
Admission routes1
Has abstractyes

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