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Record W2034778602 · doi:10.1088/1755-1315/22/2/022008

CFD analysis of a bulb turbine and validation with measurements from the BulbT project

2014· article· en· W2034778602 on OpenAlex
T. C. Vu, Maxime Gauthier, B Nennemann, H Wallimann, Claire Deschênes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2014
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsUniversité LavalAndritz (Canada)TransCanada (Canada)
FundersNatural Resources Canada
KeywordsTurbineComputational fluid dynamicsBulbPower (physics)Flow (mathematics)MechanicsHysteresisMarine engineeringEnvironmental scienceMechanical engineeringEngineeringPhysicsThermodynamics

Abstract

fetched live from OpenAlex

In the present paper both steady and unsteady CFD analysis were performed to investigate the flow behavior in a bulb turbine. A study was carried out to assess the effect of runner tip and hub gap size on the turbine performance. Also special attention was paid to the turbine power break off at full load condition as well as the hysteresis phenomena on the turbine efficiency curve occurring in the same region. The unsteady calculations were performed only for some operating points of interest near the power break off region. The numerical results were compared with experimental data from the BulbT project.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.218

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 head0.012
GPT teacher head0.185
Teacher spread0.173 · 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