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Record W2060999559 · doi:10.1002/cjce.5450800405

CFD Simulations of Three‐dimensional Wall Jets in a Stirred Tank

2002· article· en· W2060999559 on OpenAlexafffundvenue
Sujit Bhattacharya, Suzanne M. Kresta

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2002
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImpellerMechanicsComputational fluid dynamicsTurbulenceJet (fluid)Rushton turbineFlow (mathematics)TurbineBenchmark (surveying)Jet enginePosition (finance)Materials sciencePhysicsThermodynamicsGeology

Abstract

fetched live from OpenAlex

Abstract The flow near the tank wall in a stirred tank driven by a 45° pitched‐blade turbine is simulated with Multiple Reference Frames, the k‐e turbulence model and standard wall functions. The results are compared to the three‐dimensional wall jet identified in a previous paper. The self‐similar velocity profiles in the jet are predicted satisfactorily, but the decay of the local maximum velocity and jet expansion are underpredicted. The underlying physical reasons for this failure are investigated. The effect of impeller size and position on the impingement point of the impeller discharge and the jet core velocity are well predicted by the simulations. The results provide a benchmark for CFD/MRF in the bulk of a stirred tank, identifying where CFD over‐ or underpredicts performance.

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: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.010
GPT teacher head0.177
Teacher spread0.167 · 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

Citations22
Published2002
Admission routes3
Has abstractyes

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