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Record W1990445189 · doi:10.1115/imece2010-37509

A CFD Investigation of Window Cooling for an Optically Accessible Combustion Rig

2010· article· en· W1990445189 on OpenAlexaffabout
S. Chen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCombustion and flame dynamics
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsWindow (computing)FluentComputational fluid dynamicsMaterials scienceMechanicsTrailing edgeCombustionFlow (mathematics)VortexWater coolingAirflowMechanical engineeringEngineeringPhysicsComputer scienceComposite materialChemistry

Abstract

fetched live from OpenAlex

Numerical simulation was performed for the window cooling system of a new facility, the High Pressure Optically Accessible Combustion Rig, at Institute for Aerospace Research, National Research Council Canada. The Shear-Stress Transport k-ω two-equation model in FLUENT was used to solve the complex flows. The numerical results revealed that a cooling film was formed along the window glass. However, because of the presence of the bridge blocks the cooling film was not quite uniform. The bridge blocks for the cooling slots induced complex flow patterns and thus reduced the cooling effectiveness for the window. The maximum surface temperature was found to be at the trailing edge of the inner window surface. The cooling flow exiting from the downstream end cooling slot formed a large and strong vortex, which entrained hot air from the combustion air flow and caused the described high surface temperature. At the current flow condition, the maximum value of the temperature on the window surface was slightly higher than the allowable temperature for the designed window material.

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 score0.820
Threshold uncertainty score0.289

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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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 routes2
Has abstractyes

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