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Record W2064903236 · doi:10.1115/imece2006-16353

Effects of Density on Mixing of Low Reynolds Number Vertical Jets

2006· article· en· W2064903236 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFluids Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicAerodynamics and Acoustics in Jet Flows
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMechanicsFlow visualizationOpticsReynolds numberJet (fluid)PhysicsVortexEntrainment (biomusicology)Vortex ringParticle image velocimetryInstabilityPlanar laser-induced fluorescenceLaserMaterials scienceFlow (mathematics)AcousticsTurbulence

Abstract

fetched live from OpenAlex

Laser sheet smoke visualization experiments were performed on vertical air/helium jets to quantify the effects of low density driven bursts on the jet structure and entrainment. The parameters of relative jet density, S, and jet exit Reynolds number, Re, are of most importance in determining the bursting. Previous research has shown that vertical jets of S ≤ 0.5, in a range of Rej = 1300 – 2500, display strong side ejections due to the baroclinic instability in the strained vorticity sheet between the primary torroidal vortices. The objective of this work was to determine if this phenomenon resulted in a significant increase in the mixing and jet entrainment compared to standard jets. The present study demonstrated that the strong and clearly visible burst phenomenon had a very minor impact on the time averaged spreading and mixing in the shear layer surrounding the potential core. Experiments were performed using laser sheet illumination with a YAG pulse laser and cylindrical lens with oil smoke droplet seeding. The images were acquired using a 12 bit CCD camera with a 1024 × 1280 pixel array. All images were acquired at a low enough frequency to ensure their statistical independence. The laser sheet was estimated to be 0.5 mm thick with a pulse duration of 6 ns. Planar instantaneous images both coplanar and normal to the jet centerline were obtained. The jet emerged into room air from an 11 mm diameter bicubic nozzle with a contraction ratio of 5.5. Mixed flows of air and helium were fed into a settling chamber and then passed through a flow straightening honeycomb upstream of the jet. Flow rates and Reynolds numbers were controlled using choked flow nozzles that fed the settling chamber. Oil droplet smoke was added to the air flow with an adiabatic venturi-jet oil atomizer. In the instantaneous images of the jets, the bursts were clearly visible in individual frames and qualitatively appeared to play a significant role in the downstream mixing of the jet. However, quantitative analysis of time averages of many sequential images revealed that the bursts are much less significant to the mixing and entrainment of the jet than they appear. Longitudinal images were acquired in sets of 100 or 200 and used to obtain averaged images of the plume from the source out to approximately 10 jet diameters. The pixel noise floor was subtracted from the mean images. These mean images were interpreted as an analogue for scalar concentration, and thus used to quantitatively estimate the plume spread. From these mean images, concentration profiles were obtained and plotted. The bursting phenomenon was shown to be insignificant on an engineering scale after analyzing the mean images. In fact, the mass in the region where the bursts occurred was only visible when a function which showed very small gradient differences was applied to the images. While the baroclinic instability bursting is interesting from a scientific point of view, it has been shown through the quantitative analysis of the means of instantaneous images that there is only a slight effect on the overall jet entrainment compared with regular jets.

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.

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 score0.090
Threshold uncertainty score0.771

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 head0.002
GPT teacher head0.167
Teacher spread0.166 · 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