MétaCan
Menu
Back to cohort
Record W2357191215

Study on quasi-two-dimensional submerged vertical over-expanded supersonic jets

2010· article· en· W2357191215 on OpenAlexaboutno aff
Jia Hui-xia

Bibliographic record

VenueJournal of Experiments in Fluid Mechanics · 2010
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSupersonic speedMach numberNozzleJet (fluid)MechanicsShock waveChoked flowShock (circulatory)Flow (mathematics)Bow shock (aerodynamics)Oblique shockSupersonic wind tunnelPhysicsAerospace engineeringGeologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Quasi-two-dimentional submerged vertical over-expanded supersonic jets were studied experimentally and numerically.The gas-jet flow patterns under over-expanded conditions were recorded at real time by a high-speed camera at the rate of 1000 frames/s.The development process of supersonic gas jets and the process of the instable flow pattern were visualized clearly.The pure gas flow field inside and outside the Laval nozzle used in the experiment was numerically simulated by FLUENT,and results dedicate a complex shock wave region existing out of the nozzle exit.The simulation results are instrumental in understanding the unstable pattern of submerged vertical supersonic jet flow as an aided reference.The experimental and simulation results indicate that,the frequency of back-attack will be reduced at the operating conditions of relatively small mass flow and a high Mach-number,and this is proved by the discovery of quasi-back-attack phenomenon.The finding in the paper provides an available theroretical reference for weakening or eliminating the cavitation erosion in engineering application field.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.940

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 integrity0.0000.001
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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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 designSimulation or modeling
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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Experiments in Fluid MechanicsSame topicComputational Fluid Dynamics and AerodynamicsFrench-language works237,207