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Record W2094688096 · doi:10.1021/ie010153a

A Study of Turbulent Mixing of Confined Impinging Streams Using a New Composite Turbulence Model

2001· article· en· W2094688096 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2001
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsTurbulenceMixing (physics)STREAMSMechanicsWork (physics)Reynolds numberParametric statisticsHeat transferK-epsilon turbulence modelThermodynamicsReynolds stressMaterials sciencePhysicsStatistical physicsMathematicsComputer science

Abstract

fetched live from OpenAlex

This paper presents a study of turbulent mixing in two-dimensional confined impinging streams. A new composite turbulence model is proposed and verified by comparing its predictions with available experimental impingement heat-transfer data as well as the experimental temperature distributions in impinging streams obtained in this work. Better agreement between experimental and numerical impingement heat-transfer results predicted by this new model is noted compared to those predicted by two other low-Reynolds number k − ε turbulence models. The model was then used to perform a parametric study of the thermal mixing characteristics of two-dimensional turbulent confined impinging streams. It is found that both the operating and geometric parameters of the system have strong effects on mixing in impinging streams.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.155
GPT teacher head0.336
Teacher spread0.181 · 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