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Record W2018287611 · doi:10.1115/fedsm-icnmm2010-30702

Towards a Model of Vibration for a Cantilevered Mixing Rotor

2010· article· en· W2018287611 on OpenAlexafffund
Noel Kippers, Gordon Holloway, Andrew G. Gerber

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Mixing
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsImpellerRotor (electric)ThrustVibrationRotational speedMechanicsMixing (physics)Rotation (mathematics)CantileverPhysicsAmplitudeSpectral densityNatural frequencyStructural engineeringAcousticsMaterials scienceClassical mechanicsEngineeringMathematicsOpticsGeometry

Abstract

fetched live from OpenAlex

This paper presents an analytic model for a mixing shaft with a standard 45° pitched-blade impeller (PBI) in a baffled mixing vessel. The vibrations and orbits are influenced by a combination of structural and hydrodynamic forces which are sensitive to geometric parameters, fluid properties and rotational speed. Results are included for three water-glycerol mixtures with viscosities of 50 cP, 100 cP and 500 cP and rotational speeds up to 1.3 time the natural frequency of the shaft with both tensile and compressive axial thrust loads resulting from the pitched blades. Experimental results for the expected mean squared vibration response, power spectral densities (PSD) and orbit statistics are presented. A model is presented that explains a number of trends that were experimental observed including asymmetry of the shaft’s vibration amplitude with rotation direction.

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: none
Teacher disagreement score0.847
Threshold uncertainty score0.202

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 head0.010
GPT teacher head0.208
Teacher spread0.198 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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