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Record W2049474787 · doi:10.1002/aic.690471103

Internal annular wall jets: Radial flow in a stirred tank

2001· article· en· W2049474787 on OpenAlexaff
Suzanne M. Kresta, Kevin J. Bittorf, David J. D. Wilson

Bibliographic record

VenueAIChE Journal · 2001
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMechanicsDimensionless quantityJet (fluid)Flow (mathematics)TurbulencePhysicsCylinderFlow velocityThermodynamicsGeometryMathematics

Abstract

fetched live from OpenAlex

Abstract Similarity solutions are derived for internal annular wall jets and compared with experimentally determined velocity profiles at the wall of a stirred tank with radial flow. The first similarity solution considers a geometry where the thickness of the wall jet is small relative to the diameter of the cylinder and the fluid flows relative to a free stream velocity of zero. In the second solution, the free stream velocity opposes the direction of the jet flow, as is observed in the recirculating flow in a stirred tank. The internal annular wall jet model agrees very well with the flow at the wall of a stirred tank agitated with a Rushton turbine. The free stream counter flow is driven by the wall jet, and a single velocity and length scale define the self‐similar velocity profiles for the flow in the jet and in the recirculating flow. Both the analytical model and experimentally observed expansion rates are linear and the maximum velocity in the jet decays as [U ∝ (z/T)−0.5], where (z/T) is the dimensionless streamwise distance. This decay can be contrasted with the faster decay [U ∝ (z/T)−1] observed in the 3‐D wall jets produced by axial impellers. These results provide a basis for validating computational fluid dynamic simulations in stirred tanks and for estimating the largest length scales of turbulence in the bulk of the tank.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.005
GPT teacher head0.195
Teacher spread0.189 · 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

Citations17
Published2001
Admission routes1
Has abstractyes

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