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Record W4399292648 · doi:10.1063/5.0206635

Dynamics of oil separation from sand particle moving in the water at the Reynolds number of 500

2024· article· en· W4399292648 on OpenAlexafffund
Doston Shayunusov, D. Eskin, Hongbo Zeng, Petr A. Nikrityuk

Bibliographic record

VenuePhysics of Fluids · 2024
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Heat Transfer
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsReynolds numberParticle (ecology)AsphaltMechanicsVolume (thermodynamics)PhysicsWork (physics)Oil sandsFlow (mathematics)ThermodynamicsMaterials scienceComposite materialGeologyTurbulence

Abstract

fetched live from OpenAlex

This work represents studies of bitumen separation from a single bitumen-coated sand particle moving in a stream of water at the particle Reynolds number of 500. The transient dynamics of separation processes are calculated numerically using a three-dimensional computational fluid dynamics based model coupled with the combination of level set and volume of fluid models, known as the coupled level set volume of fluid model. The sand particle diameter is 10−4 m. The bitumen layer thickness comprises 10% of the particle diameter. The simulation results show that 20% of bitumen is removed during the onset of the water flow around the particle. Further, a bitumen layer is transformed into a bitumen tail with 77% of the original bitumen volume.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.179

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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 designBench or experimental
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
Published2024
Admission routes2
Has abstractyes

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