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Record W2052166268 · doi:10.1002/cjce.20433

Numerical simulation process aspects of the novel static circulating jet mixer

2010· article· en· W2052166268 on OpenAlexvenueaboutno aff
Yanfang Yu, Huibo Meng

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsJet (fluid)MechanicsTurbulence

Abstract

fetched live from OpenAlex

Abstract A novel jet mixer was developed in virtue of static jet mixing and the static sealing technique. In this paper, the SST κ − ω model was chosen to simulate the flow field by analysing the flow pattern of multiple jets in the novel static circulating jet mixer (SCJM). The numerical predictions of mixing time in the upward pointing side entry jet were found in good agreement with the experimental as well as the results reported in the literature. The transport mechanism of fluid in novel SCJM was studied using PDF and higher order items of turbulent flow. Because of the mutual adsorption between the adjacent jets, the main jet velocity did not comply with self‐similarity and the jet axis has an offset when the L / R 0 is above 0.231. The distributions of flatness and skewness in SCJM are out of normal distribution which indicated the existence of coherent structure. The optimum parameters, jet angle, and baffle length, were revealed by comparison of the energy dissipation ratios in many cases. Un nouveau mélangeur à jet a été conçu grâce au mélange à jet statique et à la technique d'étanchéité statique (TES). Dans ce document, nous avons choisi le modèle de TES κ − ω pour simuler le champ d'écoulement en analysant la configuration de l'écoulement de plusieurs jets dans le nouveau mélangeur circulant à jet statique (MCJS). Les prédictions numériques du temps de mélange dans le jet latéral orienté vers le haut correspondent bien aux résultats expérimentaux et aux résultats indiqués dans la littérature. Le mécanisme de transport du fluide dans le nouveau MCJS a été analysé en utilisant la fonction de densité et des éléments d'ordre supérieur de l'écoulement turbulent. En raison de l'adsorption mutuelle entre les jets adjacents, la vitesse du jet principal n'est pas conforme à l'autosimilitude et l'axe du jet présente un désaxage lorsque le L / R 0 est supérieur à 0,231. Les distributions de la planéité et de la dissymétrie dans le MCJS sortent de l'ordinaire, ce qui indique qu'une structure cohérente existe. Les paramètres optimaux, l'angle du jet et la longueur du déflecteur ont été trouvés en comparant les rapports de dissipation d'énergie de nombreux cas. © 2010 Canadian Society for Chemical Engineering

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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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.195
Teacher spread0.190 · 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

Citations9
Published2010
Admission routes2
Has abstractyes

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