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Record W2368558112

Structure design and numerical simulation of novel supersonic swirling separator

2010· article· en· W2368558112 on OpenAlexaboutno aff
WU Liang-hong

Bibliographic record

VenueZhongguo Shiyou Daxue xuebao. Ziran kexue ban · 2010
Typearticle
Languageen
FieldEngineering
TopicParticle Dynamics in Fluid Flows
Canadian institutionsnot available
Fundersnot available
KeywordsSeparator (oil production)NozzleSupersonic speedMechanicsShock waveOverall pressure ratioDiffuser (optics)Mach numberMaterials scienceChoked flowMechanical engineeringEngineeringPhysicsGas compressorThermodynamicsOptics
DOInot available

Abstract

fetched live from OpenAlex

The static guide vanes were installed at the entrance of Laval nozzle in the novel supersonic swirling separator.The natural gas was swirled when going through the vanes,and then expanded in the Laval nozzle.In this new separator,the shock waves could be easily restricted in the diffuser.The energy loss and the impact of re-evaporation could be reduced,which would improve the separation and pressure recovery performance.The flow law in the separator was obtained by numerical simulation.The results show that shock waves move to Laval nozzle from the diffuser with the increase of the relative pressure ratio,which is the ratio of the static pressure of the separator outlet to the inlet.When the relative pressure ratio is from 40% to 73%,the novel supersonic swirling separator can work.At the nozzle exit,the Mach number is 2.0,resulting in lower temperature(-98.82 ℃)and pressure(82.945 kPa).The maximal swirling acceleration is 243 558g(g is the acceleration of gravity).The gas-liquid separation of supersonic gas can be realized well.

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)0.000
metaresearch head score (Gemma)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.244
Teacher spread0.229 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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Same venueZhongguo Shiyou Daxue xuebao. Ziran kexue banSame topicParticle Dynamics in Fluid FlowsFrench-language works237,207