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Record W2794641035 · doi:10.1002/cjce.23214

Mixing in an agitated tubular reactor

2018· article· en· W2794641035 on OpenAlexvenueno aff
Jos Derksen

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2018
Typearticle
Languageen
FieldEngineering
TopicLattice Boltzmann Simulation Studies
Canadian institutionsnot available
FundersUniversity of Leeds
KeywordsMechanicsReynolds numberLattice Boltzmann methodsMixing (physics)Scalar (mathematics)Boundary value problemFluid dynamicsPhysicsComputational fluid dynamicsLarge eddy simulationFlow (mathematics)Materials scienceThermodynamicsMathematicsTurbulenceGeometry

Abstract

fetched live from OpenAlex

Abstract We analyze, through numerical simulations, the single‐phase liquid flow and associated passive scalar mixing in a tubular reactor that is agitated by lateral shaking, which induces the motion of a solid mixing element inside the reactor. The Reynolds number associated with the shaking motion is in the range 1200–5600. Dependent on its specific value, we perform direct or large eddy simulations. A fixed‐grid lattice‐Boltzmann method is used for solving the fluid flow. The moving boundary condition at the surface of the mixing element is dealt with by means of an immersed boundary method. To quantify mixing, a transport equation for a passive scalar is solved in conjunction with the flow dynamics.

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 score0.265
Threshold uncertainty score0.365

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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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