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Record W2995253413

The effects of freestream turbulence on the drag of a sphere

2008· article· en· W2995253413 on OpenAlexfundno aff
Niloofar Moradian

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2008
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsnot available
FundersIsfahan University of TechnologyUniversity of WindsorNatural Sciences and Engineering Research Council of CanadaMcGill University
KeywordsFreestreamDragTurbulenceMechanicsPhysicsReynolds number
DOInot available

Abstract

fetched live from OpenAlex

The effects of freestream turbulence intensity and integral length scale as freestream turbulent parameters on the drag coefficient of a solid sphere were experimentally investigated in a closed-circuit wind tunnel. The Reynolds number, Re = Ud/ν, was varied from 2.2×104 to 8×10 4 by using spheres of different sizes in addition to altering the freestream velocity, U. Two different kinds of spheres, PVC spheres with diameter d of 20, 51 and 102 mm and wooden spheres with diameter d of 20, 51, 65, 102, 140 and 210 mm, were used in Experiments I and II, respectively. The freestream turbulence intensity Tu and flow integral length scale Λ were manipulated by using orificed perforated plates. The proper combination of orificed perforated plate hole diameter, sphere size, and sphere location enabled the independent variations of turbulence intensity and relative integral length scale (Λ/d) from 1.8% to 10.7% and from 0.1 to 2.6, respectively at each studied Reynolds number in Experiment I, and in Experiment II, the independent variations of turbulence intensity and relative integral length scale (Λ/d) from 2.5% to 6.3% and from 0.04 to 3.3, respectively at each studied Reynolds number. To ease the experiment process, the sphere was fixed while the location of the orificed perforated plate was varied in Experiment II. Our 'smooth flow' (Tu < 0.3%) results agree with the standard CDversus Re results in the literature. Over the range of conditions studied, current results have confirmed that the drag always decreases with increasing Tu and the critical Reynolds number at which the drag coefficient is dramatically reduced is advanced with increasing Tu. It is found that the effectiveness of Tu in reducing CD is optimized when A is about 0.65d.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.642

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.170
Teacher spread0.161 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

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