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Record W2351346748

THE NOZZLE USED IN SUPERSONIC SWIRLING SEPARATORS

2007· article· en· W2351346748 on OpenAlexaboutno aff
Lin Zhong-hu

Bibliographic record

VenueTianranqi gongye · 2007
Typearticle
Languageen
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSupersonic speedNozzleSeparator (oil production)Choked flowMechanicsMach numberSupersonic wind tunnelIsentropic processChemistryAerospace engineeringEngineeringThermodynamicsPhysics
DOInot available

Abstract

fetched live from OpenAlex

The supersonic swirling separator is a new apparatus which can be used to condensate and separate water and heavy hydrocarbons from natural gas without heating and injecting antifreezing agent. The nozzle is the key part of the separator. According to the characteristics of the supersonic nozzle in the supersonic swirling separator, this paper presents three optimum designing methods for the Laval nozzle. Subsonic convergent section of the Laval nozzle was designed according to the Витощинский method, the throat part was designed as a smooth circular arc, and supersonic divergent section was designed according to the Foelsch method. The stream from this type of nozzle had uniform velocity with designed Mach number. As what has been shown by the simulation results, the saturated feed gas was induced to flow at supersonic velocity by a fast isentropic expansion in a nozzle, the condensation of water and hydrocarbon occured in the divergent section. Neither hydrates could be formed during extremely short resident time, nor could antifreezing agent be injected.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.215
Teacher spread0.210 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations5
Published2007
Admission routes1
Has abstractyes

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