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Record W3048605974 · doi:10.1063/5.0019021

Dean flow velocity of viscoelastic fluids in curved microchannels

2020· article· en· W3048605974 on OpenAlexafffund
Arsalan Nikdoost, Pouya Rezai

Bibliographic record

VenueAIP Advances · 2020
Typearticle
Languageen
FieldEngineering
TopicMicrofluidic and Bio-sensing Technologies
Canadian institutionsYork University
FundersOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsViscoelasticityDragMechanicsNewtonian fluidMicrofluidicsDisplacement (psychology)ViscosityFlow (mathematics)RADIUSMaterials scienceClassical mechanicsPhysicsNanotechnologyComposite materialComputer science

Abstract

fetched live from OpenAlex

Curved microchannels take advantage of inertial and Dean drag forces to achieve size-based separation of particles and cells. Despite the reported numerical and experimental correlations for Dean velocity (VDe) of Newtonian fluids, comprehensive studies and correlations are still required for the flow of viscoelastic fluids in curved microchannels. In this paper, the effects of curved channel height, radius of curvature, and kinematic viscosity were investigated to derive an empirical correlation for VDe of viscoelastic water. The developed knowledge of viscoelastic Dean flow velocity will be vital in design of elasto-inertial microfluidic devices for determination of lateral displacement of fluids in fluid exchange and Dean drag force in particle focusing and separation applications.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
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 head0.013
GPT teacher head0.208
Teacher spread0.196 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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