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Record W2384238534

Experimental study on wet air in supersonic condensation flows

2011· article· en· W2384238534 on OpenAlexaboutno aff
Jidong Liu

Bibliographic record

VenueHuagong xuebao · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicnanoparticles nucleation surface interactions
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleSupersonic speedCondensationHomogeneousMechanicsFraction (chemistry)InletThermodynamicsChemistryMaterials scienceMechanical engineeringPhysicsEngineeringChromatography
DOInot available

Abstract

fetched live from OpenAlex

An experimental system was set up for wet air supersonic condensation research.The stability measurement tests were taken.The results showed that the experimental system at least needed 10 h to achieve stabilization.The supersonic condensation process of wet air in Laval nozzle was tested.The results showed that the droplet diameter is nearly 0.85 μm along the axial without obvious fluctuation,and the droplet number is nearly 3.0×1012#·kg-1,and the liquid fraction is neatly 8.0×10-4 when the inlet pressure of the nozzle was 0.46 MPa.Mathematical models of wet air were set up to simulate the process of homogeneous and heterogeneous condensation in Laval nozzle.The results showed that the experimental results were in agreement with heterogeneous condensation simulation results which validated the heterogeneous model.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.998

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)0.0080.003

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 head0.063
GPT teacher head0.268
Teacher spread0.205 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2011
Admission routes1
Has abstractyes

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