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Record W2023625017 · doi:10.1002/pen.11292

The effects of dual‐orifice air‐ring design on blown film cooling

2000· article· en· W2023625017 on OpenAlexafffund
V. Sidiropoulos, J. Vlachopoulos

Bibliographic record

VenuePolymer Engineering and Science · 2000
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Ontario
KeywordsBody orificeMaterials scienceTurbulenceAirflowMechanicsHeat transferRing (chemistry)Flow (mathematics)Air coolingMechanical engineeringThermodynamicsPhysicsEngineeringChemistry

Abstract

fetched live from OpenAlex

Abstract Numerical simulations of turbulent air flows tangentially impinging on blown film bubbles have been carried out. The cooling air is assumed to originate from a dualorifice adjustable air‐ring. The streamline patterns and heat fluxes are determined through a finite volume numerical technique for modeling of turbulent air flow. It is shown that cooling efficiency is critically sensitive to the air‐ring design as minor modifications cause large variations in cooling performance. Additionally, for a given design, the operational setup of the air ring is equally critical to the cooling performance. It is explained that the large influence observed on heat transfer rates is primarily due to the Coanda effect, which forces air jets to attach themselves to surfaces.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.173
Teacher spread0.169 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations28
Published2000
Admission routes2
Has abstractyes

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