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Record W2108233828 · doi:10.1002/aic.10615

On large structures and turbulent mixing in confined mixing layers under forcing

2005· article· en· W2108233828 on OpenAlexfundno aff
G. R. Wang

Bibliographic record

VenueAIChE Journal · 2005
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsVorticityMechanicsMixing (physics)VortexTrailing edgeForcing (mathematics)Scalar (mathematics)PhysicsTurbulenceClassical mechanicsGeometryAtmospheric sciencesMathematics

Abstract

fetched live from OpenAlex

Abstract New phenomena have been observed experimentally in a novel rapid mixing process, where a confined mixing layer in a pipe is periodically forced, especially under strong forcing. In the confined configuration without forcing, there are two incommensurable peaks in the scalar power spectrum: one corresponds to the well‐known Kelvin–Helmholtz instability, but the other is not known, having a narrow‐frequency band around a nearly constant frequency that is independent of the mean flow velocity. With strong forcing within the narrow‐frequency band, the spreading angle of the mixing layer is not restrained by the well‐known saturation phenomenon, but could even achieve a quasi‐ 180 ° immediately downstream of the trailing edge, exhibiting an extraordinarily fast mixing. The mixing layer not only biases to the low‐speed side as the conventional mixing layer does, it could also be symmetric to the splitterplate and even bias to the high‐speed side. These phenomena can be observed only when the forcing is within the narrow‐frequency band. We also find that the streamwise vortices, which result from interaction between the primary vorticity and the vorticity originating from the streamwise corner flow between the splitterplate and sidewall immediately downstream of the trailing edge of the splitterplate, could play an important role for these new observations. These streamwise vortices are very sensitive to initial periodic forcing at the narrow‐frequency band and amplify very fast. The results indicate that the confined mixing layer in a pipe is a very interesting flow. © 2005 American Institute of Chemical Engineers AIChE J, 2006

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.592

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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

Citations11
Published2005
Admission routes1
Has abstractyes

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