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Record W2527774370 · doi:10.11159/ffhmt16.134

A CFD and Experimental Study of Thin Flexible Wire in a Cross Flow

2016· article· en· W2527774370 on OpenAlexvenueno aff
Chelakara Subramanian, Harika Gurram, Priyanka L. Kanherkar

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2016
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsComputational fluid dynamicsFlow (mathematics)MechanicsComputer scienceMaterials scienceMechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

This research focuses on understanding the drag of thin flexible wires in a cross flow at low laminar Reynolds numbers. Experiments are conducted to measure the drag force for thin flexible wire of O(mm) at Reynolds number, based on wire diameter, range between 250 to 1000 and, the results showed 20% to 30 % of reduction in the drag coefficient as compared to previous quoted results in the open literature. The direct numerical simulation study is carried out for the similar flow (but for a less flexible wire) using the commercial CFD code ANSYS Fluent 15.0 and with mesh generation ANSYS ICEM-CFD 15.0 software. The computational results confirmed the experimental results. To further explain the fluid dynamic mechanism causing the drag reduction in this range of Reynolds numbers, wake surveys are performed using pitot static tube and hot wire experiments as well as time resolved computational numerical simulations. The near wake flow structure suggests the wake transition may be the cause of reduced drag, similar to the drag crisis commonly observed in the wire boundary layer transition regime.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.354

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 head0.252
Teacher spread0.234 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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