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Record W7046871692

Effects of Injection Angle on the Structure of Choked Gaseous Jets

2020· dissertation· en· W7046871692 on OpenAlexaboutno aff

Bibliographic record

VenueSHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University) · 2020
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleMach numberSupersonic speedShock diamondJet (fluid)Choked flowParticle image velocimetryStatic pressureVorticity
DOInot available

Abstract

fetched live from OpenAlex

The effects of injection angle on the structure of choked gaseous jets injected into quiescent air is investigated experimentally. The study is motivated by the use of choked gaseous jets in many industrial applications, including gas turbines, flares, and burners. The test conditions were as follows: a choked gas jet injected into a quiescent air environment, a straight cylindrical nozzle with an exit diameter of 1.6 mm, and three (3) injection angles of 0° (normal injection), 15°, and 30°. The diagnostics included particle image velocimetry using pulsed Nd:YAG lasers. The jet was seeded with aluminum oxide (1-micron) particles and was injected into an environment that was seeded with water-based fog. The field of view was limited to 22mm x 22mm. The results included jet and entrainment flow velocities and vorticity fields. A computational study of the present three nozzles, by our collaborators, was used to validate and interpret the present experimental results. The experimental results showed that the increase of the injection angle of the nozzle, from the normal position, caused the jet structure to become asymmetric and partially blocked the nozzle exit. This was due to the generation of a velocity slip plane inside the injection port initiating at the leading edge of the inlet section of the nozzle. The sharp entrance edge of the nozzle acted as the nozzle's throat and triggered an expansion fan that accelerated the flow to supersonic speeds of Mach 1.4 for the present test conditions from a simple straight cylindrical nozzle without the use of the traditional convergent-divergent (De Laval) nozzle geometry.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.165
Teacher spread0.160 · 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.

Study designQualitative
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
Published2020
Admission routes1
Has abstractyes

Explore more

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