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Record W3164440342 · doi:10.11159/ffhmt21.111

Investigation of Inverse Magnus Effect by Partial Circulation ControlElements: Experimental Design

2021· article· en· W3164440342 on OpenAlexvenueno aff
Acar Celik, Sercan Acarer, Ian Jacobi, Beni Cukurel

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2021
Typearticle
Languageen
FieldEngineering
TopicPlasma and Flow Control in Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsInverseCirculation (fluid dynamics)Control (management)Computer scienceEngineeringMathematicsAerospace engineeringArtificial intelligenceGeometry

Abstract

fetched live from OpenAlex

The inverse Magnus effect is a special physical state that can only be achieved within certain ranges of the Reynolds number and the spin ratio.Numerical studies and particularly, special experimental setups are required for its investigation.In this study, an experimental design idea that will enable the mentioned physical phenomenon to be analyzed on a specific geometry is presented.By compiling similar studies in the past years, the innovations made are emphasized.All the elements on the assembly whose design has been completed are detailed and its advantages and disadvantages are mentioned.It is predicted that the system with the partially rotating cylinders planned to be established in the near future will be a guide in numerical studies and will create important outputs in the use of the Magnus effect on airfoils in aviation.

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)0.001
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.212
Teacher spread0.195 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueProceedings of the ... International Conference on Fluid Flow, Heat and Mass TransferSame topicPlasma and Flow Control in AerodynamicsFrench-language works237,207