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Record W1980763549 · doi:10.1002/cjce.20580

Comparing top entry versus side entry agitator performance in low viscosity blending

2011· article· en· W1980763549 on OpenAlexvenueno aff
Richard Oliver Kehn

Bibliographic record

VenueThe Canadian Journal of Chemical Engineering · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsnot available
Fundersnot available
KeywordsAgitatorBaffleViscosityMaterials scienceReynolds numberYield (engineering)Composite materialMechanicsMechanical engineeringEngineeringPhysicsTurbulence

Abstract

fetched live from OpenAlex

Abstract The primary purpose of this study was to quantify the difference in performance of side entering versus top entering agitators in low viscosity blending on the lab scale. This study compared the power requirement of top entry versus side entry agitator set ups to yield the same blend time. A 1.22 m diameter clear vessel was used for the testing and several top entry set ups (0.15–0.3 D / T with three wall baffles) were compared to a single side entry set up (0.09 D / T with no wall baffles). Blend time was recorded for each run using three to four conductivity probes with water as the base fluid and a saturated sodium chloride solution as the tracer. Results show that a side entering agitator requires between three and five times the power to yield the same blend time as a top entering agitator. This ratio of powers is strongly related to the D / T chosen. In the future, additional work will be completed, which will include the effect of multiple side entry agitators on blend time and the effect of viscosity (i.e., lower Reynolds numbers) on blend time.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.571

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 integrity0.0000.001
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 head0.011
GPT teacher head0.171
Teacher spread0.159 · 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

Citations8
Published2011
Admission routes1
Has abstractyes

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