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Record W4382559964 · doi:10.18280/mmep.100338

Numerical Simulation of Heat Transfer and Flow Enhancement Through Multi-Row Film Holes for Gas Turbine Blade Cooling

2023· article· en· W4382559964 on OpenAlexvenueno aff
Hasan Sh. Majdi, Basil Noori Merzah, Sanaa T. Mousa Al-Musawi, Atheer Raheem Abdullah

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsGas turbinesHeat transferMechanicsBlade (archaeology)Materials scienceComputer simulationFlow (mathematics)Heat transfer enhancementTurbine bladeMechanical engineeringTurbineHeat transfer coefficientEngineeringPhysics

Abstract

fetched live from OpenAlex

To increase gas turbine power output and thermal efficiency, turbine inlet temperatures can exceed the melting point of component materials.Blade cooling techniques are thus required.This study reviews external cooling methods for gas turbine blade tips.Recent publications on cooling technology improvements were analyzed to enhance turbine blade cooling.The operating conditions and cooling requirements of turbine blades were examined.Air was blown through a duct in the turbine blade at lower temperatures to cool the blade by adjusting the air pressure to match internal pressures.The inlet air pressure was 24,000 Pa.Experiments were conducted by varying the air pressure.At 25,000 Pa, the air flow improved.Increasing the pressure to 30,000, 35,000, and 40,000 Pa resulted in the cooled air flowing away from the blade, causing blockage and reduced inlet air pressure.Reducing the pressure to 24,000 Pa caused the air to be retained, preventing its exit through the holes and increasing blade temperature.The optimal cooling was achieved at 25,000 Pa.

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: Methods · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score0.932

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 head0.042
GPT teacher head0.242
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
GenreMethods

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

Citations1
Published2023
Admission routes1
Has abstractyes

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