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Record W2095469771 · doi:10.1115/gt2014-27009

Streamwise and Crossflow Vortical Structures on Turbine Blades and Swept Cylinders

2014· article· en· W2095469771 on OpenAlexfundno aff
Aldo Rona, J. P. Gostelow

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsnot available
FundersNational Research Council CanadaUniversity of Leicester
KeywordsCylinderMechanicsTurbomachineryTrailing edgeFlow visualizationLeading edgeFlow (mathematics)TransonicTurbinePhysicsVortexAerodynamicsOpticsMaterials scienceGeometryMathematics

Abstract

fetched live from OpenAlex

Flow visualization on a lengthy time-average basis on the suction surface of turbine blades showed robust and consistent streamwise streaks at subsonic and transonic speeds. The normal flow past a circular cylinder is a more canonical case and testing was undertaken at high speeds on a 37.23 mm diameter cylinder and at low speeds on a 152 mm diameter cylinder. The lateral spacing between streaks on cylinders had been predicted by Kestin and Wood and the present tests gave excellent agreement with their theory. Their work on unswept circular cylinders provides a good baseline model for understanding and predicting sweep effects on cylinders and turbomachinery blading. Experiments on a circular cylinder were performed over a range of sweep angles from zero to 61°, giving results for lateral spacing and angular orientation of the streaks. At high sweep angles, the results are consistent with those of Poll. Hot wire measurements away from the surface indicate a variable flow structure in the spanwise direction with a wavelength matching that of the surface traces. The streamwise disturbance was predominantly stationary in nature and resilient, often persisting from leading edge to trailing edge. Crossflow instability becomes more significant at high sweep angles. It grows aggressively and rapidly, being predominantly of a traveling nature. The observed streaks could be of particular concern for the thermal design of turbine blades.

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 score0.154
Threshold uncertainty score0.324

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 head0.003
GPT teacher head0.181
Teacher spread0.178 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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