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Record W2223609058

К вопросу об установившемся режиме истечения газа из осесимметричных отверстий и сопел

2015· article· ru· W2223609058 on OpenAlexaboutno aff
Ф И Лухтура

Bibliographic record

VenueВестник Приазовского государственного технического университета. Серия: Технические науки · 2015
Typearticle
Languageru
FieldEnvironmental Science
TopicEnvironmental and Industrial Safety
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleMechanicsInviscid flowFlow (mathematics)Discharge coefficientJet (fluid)MathematicsThermodynamicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

Real parameters of the gas expiring out of narrowing nozzles of different configuration have been calculated knowing the discharge coefficients obtained experimentally. Rather a simple method to calculate the «second» critical pressure differential dependent on discharge coefficients at cut-off expiration modes has been offered. Using an inviscid fluid one-dimensional model the author has confirmed that it is impossible to receive critical speeds in the output hole. The method makes it possible to estimate the value of the pressure in the separation point (if it is available), where the Laval nozzle section is minimum and knowing «second» critical pressure differential (or total pressure at cut-off expiration). The received data can be used as initial data to calculate jet flows passing through various kind of holes. The analytical research results of gas discharge regime through the holes (nozzles) have shown, that a one-dimensional model can be used to calculate the parameters of the expiration through holes of different configuration in the nozzle narrowing part precisely enough to estimate changes of the main (basic) flow parameters in the channels of the holes. The analysis of the research indicates that the flow coefficients at flow-off expiration modes for convergent and convergentdivergent holes are identical and the parameters in critical section are identical as well. The total pressure recovery coefficient is approximately equal to the flow coefficient, there being losses of total pressure. The received results can be used in power engineering, metallurgy etc. developing various blowing devices and burners.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.005

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 head0.056
GPT teacher head0.232
Teacher spread0.176 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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