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Record W1451872038 · doi:10.1115/gt2015-44121

Numerical Evaluation of the Performance of the Sister–Shaped Single–Hole Schemes on Turbine Blade Leading Edge Film Cooling

2015· article· en· W1451872038 on OpenAlexafffund
Siavash Khajehhasani, B.A. Jubran

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCoolantMechanicsSuctionLeading edgeTurbine bladeJet (fluid)Pressure-sensitive paintMaterials scienceTurbineUpstream (networking)Mechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

In the present study, a numerical evaluation of the performance of the sister-shaped single-hole (SSSH) schemes (downstream, upstream and up/downstream) on the leading edge of AGTB-B1 high pressure turbine blade cascade is carried out. Simulations are performed at three blowing ratios of 0.7, 1.1 and 1.5. Predicted results are compared to the single cylindrical hole and a 15° forward-diffused shaped hole. The realizable k-ε model combined with the standard wall function is used to model the flow field; wherein, the predicted pressure field was in a good agreement with the available experimental data. At the high blowing ratios of 1.1 and 1.5, a noticeable improvement in the film cooling effectiveness and the lateral spread of the cooling jet has been observed for the upstream and up/downstream SSSH schemes, in particular on the suction side. The downstream SSSH configuration provided almost similar film cooling effectiveness values to that of the forward diffused shaped hole for all blowing ratios on both the pressure and suction sides of the blade. Note that the obtained film cooling effectiveness for the downstream SSSH scheme at high blowing ratios was disappointing in comparison with other SSSH schemes where much higher film cooling effectiveness values were obtained. The mixing of the coolant with the high mainstream flow at the leading edge of the blade is considerably decreased for the upstream and up/downstream SSSH schemes and more adhered coolant to the blade’s surface is observed than with other configurations. Moreover, the jet lift-off is notably diminished for the upstream and up/downstream SSSH compared to other hole geometries.

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 score0.118
Threshold uncertainty score0.261

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 head0.038
GPT teacher head0.250
Teacher spread0.212 · 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

Citations8
Published2015
Admission routes2
Has abstractyes

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