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Record W2010424108 · doi:10.1115/icnmm2009-82171

A Generalized Analysis of Electroosmotically Driven Capillary Flow in Rectangular Microchannels

2009· article· en· W2010424108 on OpenAlexaff
Prashant R. Waghmare, Sushanta K. Mitra

Bibliographic record

VenueASME 2009 7th International Conference on Nanochannels, Microchannels, and Minichannels · 2009
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Capillary Electrophoresis Applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsElectrokinetic phenomenaSurface tensionCapillary actionMicrochannelMechanicsCapillary numberPenetration (warfare)Flow (mathematics)Capillary surfaceChemistryMaterials scienceThermodynamicsPhysicsComposite materialNanotechnologyEngineering

Abstract

fetched live from OpenAlex

In this study, the transient response of the fluid with combined electrokinetic and capillary effect in a microchannel is investigated theoretically. A second-order differential governing equation is obtained which represent the electroosmotic and capillary flow in a rectangular microchannel. This governing equation takes care of inertial force, dynamic contact angle, electrokinetic and entrance effect. The electrokinetic effect is modeled through additional electrokinetic force, which varies along the penetration depth of fluid. The non-dimensional analysis is presented by normalizing the gravity, viscous, electrokinetic forces with surface tension force. New non-dimensional group for electrokinetic force is reported which represents the ratio of electrokinetic and surface tension forces. The numerical solution of the governing equation is validated with experimental and analytical results for capillary flows, which shows good agreement. It is observed that for smaller Eo the capillary front advancement follows the similar trend as pure capillary flow but for higher Eo, the electroosmotic force dominates over surface tension force. It is demonstrated that this model provides simple approach to predict the penetration depth in electroosmotically driven capillary flow.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.243
Teacher spread0.229 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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