MétaCan
Menu
Back to cohort
Record W3119820672 · doi:10.1063/5.0032369

The effects of gravity and surface tension on the circular hydraulic jump for low- and high-viscosity liquids: A numerical investigation

2021· article· en· W3119820672 on OpenAlexafffund
Yunpeng Wang, Roger E. Khayat

Bibliographic record

VenuePhysics of Fluids · 2021
Typearticle
Languageen
FieldChemical Engineering
TopicRheology and Fluid Dynamics Studies
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHydraulic jumpJumpViscositySurface tensionPhysicsMechanicsWork (physics)ThermodynamicsClassical mechanicsFlow (mathematics)

Abstract

fetched live from OpenAlex

The present work investigates the causes of the circular hydraulic jump for both low- and high-viscosity liquids in an effort to address a recent dispute in the research community. We first validate our numerical model against existing experiments and then study the effects of different parameters involved in the problem. The influences of viscosity, gravity, and surface tension on the formation of the jump are comprehensively explored. We observe a significant difference in the mechanisms behind the hydraulic jump for low- and high-viscosity liquids, which have rarely been reported. Surface tension is found to be responsible for the low-viscosity jump, while gravity dominates the high-viscosity jump, which partially resolves the recent noise regarding the cause of the jump in a consistent manner.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePhysics of FluidsSame topicRheology and Fluid Dynamics StudiesFrench-language works237,207