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Record W2169301462 · doi:10.1115/imece2010-37939

Displacement Flow of Shear Thinning Fluids in Tube: The Effect of Density and Viscosity Ratio

2010· article· en· W2169301462 on OpenAlexaff
K. Alba, Seyed Mohammad Taghavi, Saman Gharib, Thomas Séon, D. Mark Martinez, I.A. Frigaard

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMechanicsViscosityDimensionless quantityShear thinningNewtonian fluidDisplacement (psychology)Flow velocityFlow (mathematics)ThermodynamicsInviscid flowMaterials sciencePhysicsApparent viscosity

Abstract

fetched live from OpenAlex

The miscible displacement flow of non-Newtonian fluids is investigated experimentally in a 20 mm diameter pipe. Attention is paid to the effect of the density and viscosity ratios on the non-Newtonian fluid displacement. The effect of the density difference of the two fluids is discussed via a dimensionless parameter called the Atwood number, At. When the current is stabilized by the imposed flow, the ratio of the front velocity, Vf, to the mean flow velocity, V0, does not significantly change with Atwood number, similar to the Newtonian displacement [5]. The viscosity ratio of the two fluids then seems to be a critical factor on the flow field stability. It has previously been established that the increase in the mean flow velocity dampens the Kelvin-Helmholtz-like instabilities in the system [5]. However it may not be the case for the flows with very high viscosity ratios. The mean flow velocity in turn can contribute to the onset of interfacial instabilities as its value increases.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.212
Teacher spread0.209 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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