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Record W4255679138 · doi:10.2202/1542-6580.1638

Numerical Analysis of a Two-Phase Flow and Mixing Process in a Stirred Tank

2008· article· en· W4255679138 on OpenAlexaff
Si Huang, A. A. Mohamad, K. Nandakumar

Bibliographic record

VenueInternational Journal of Chemical Reactor Engineering · 2008
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsImpellerMixing (physics)MechanicsMultiphase flowTurbulenceComputational fluid dynamicsFlow (mathematics)Two-phase flowFluentVolume fractionVolume (thermodynamics)Materials scienceRushton turbineMechanical engineeringEngineeringThermodynamicsPhysics

Abstract

fetched live from OpenAlex

An agitated two-phase flow and the mixing progress in an oil-water stirred tank are studied numerically using FLUENT software. The stirred cylindrical tank is equipped with an axial-type turbine and a radial-type impeller. The full Eulerian multiphase approach coupled with the standard turbulence model is performed to deal with two-phase flow with a higher volume fraction of the second (dispersed) phase. The computation is completed by using unstructured meshes in a multiple reference frame (MRF). For the initial condition of the simulation, oil is set on the top part of the tank with 30% of the total fluid volume. The simulation is conducted to get distributions of two-phase flow speed, pressure and volume fraction and to successfully illustrate how the mixing of two-phase components progresses in the stirred tank. The computational results obtained in this study would be useful for explaining the two-phase flow patterns on the mixing process and extending the applications of multiphase stirred reactors.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.649
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.007
GPT teacher head0.255
Teacher spread0.248 · 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 teacher head, 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

Citations3
Published2008
Admission routes1
Has abstractyes

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