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Numerical study of the flow dynamics at no-load operation for a high head Francis turbine at model scale

2019· article· en· W2932931713 on OpenAlexafffund
Mélissa Fortin, B Nennemann, Sébastien Houde, Claire Deschênes

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2019
Typearticle
Languageen
FieldEngineering
TopicCavitation Phenomena in Pumps
Canadian institutionsTransCanada (Canada)Université Laval
FundersNatural Sciences and Engineering Research Council of CanadaCompute Canada
KeywordsTurbulenceFrancis turbineTurbineMechanicsFlow (mathematics)Head (geology)Computational fluid dynamicsScale (ratio)Computer simulationFluid dynamicsSimulationMechanical engineeringComputer sciencePhysicsGeologyEngineering

Abstract

fetched live from OpenAlex

No-load operation is among the most damaging operating conditions. Since no energy is extracted by the turbine during this operation, the fluid energy is dissipated by highly energetic and turbulent flow phenomena causing high pressure and strain fluctuations on the turbine components. These highly turbulent flows are complex and, until now, poorly understood. This paper presents preliminary three-dimensional simulations of no-load turbulent flow within a high head Francis turbine at model scale using Computational Fluid Dynamics and the SAS-SST turbulence model. The numerical results are compared with unsteady experimental pressure data acquired on the runner blades of a model turbine. A preliminary study of the numerical results reveals some specific flow behaviors present at no-load operation.

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 score0.390
Threshold uncertainty score0.379

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 head0.007
GPT teacher head0.189
Teacher spread0.182 · 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

Citations12
Published2019
Admission routes2
Has abstractyes

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Same venueIOP Conference Series Earth and Environmental ScienceSame topicCavitation Phenomena in PumpsFrench-language works237,207