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Record W2958584151 · doi:10.21608/amme.2010.37566

Film cooling performance of shaped hole over vane with flow visualization

2010· article· en· W2958584151 on OpenAlexaff
Tarek Elnady, Wael Saleh, Ibrahim Hassan, Lyes Kadem, Terry Lucas

Bibliographic record

VenueThe International Conference on Applied Mechanics and Mechanical Engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsConcordia University
Fundersnot available
KeywordsFlow visualizationVisualizationMaterials scienceFlow (mathematics)MechanicsMechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

The cooling performance of a shaped hole is investigated experimentally using a two-dimensional turbine vane cascade. The test section is designed to match Mach numbers, Reynolds numbers, pressure distributions, passage mass flow rates, boundary layer development, streamline curvature, and physical dimensions of turbine airfoils in operating gas turbine engines for industrial power generation. The test section walls are made of acrylic for the optical measurements with inlet cross section area of 10 cm by 5.4 cm. One row of laid-back fan-shaped axially-oriented cooling holes is located on the pressure side. The main stream Reynolds number based on the axial chord is 1.4E5 and inlet Mach number is 0.16. The local distributions of the heat transfer coefficient and film cooling effectiveness is obtained using a transient Thermochromic Liquid Crystal (TLC) technique for four different blowing ratios. The effectiveness of the shaped holes increases by the increase of the blowing ratio with a slight reduction on the heat transfer enhancement. The nature of the flow interaction between jet and mainstream is clarified using Particle Image Velocimetry (PIV) to support the heat transfer findings.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score0.487

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 head0.009
GPT teacher head0.208
Teacher spread0.200 · 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
Published2010
Admission routes1
Has abstractyes

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