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Record W2187036526

An unconventional supersonic liquefied technology for natural gas

2012· article· en· W2187036526 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSpacecraft and Cryogenic Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsLiquefied natural gasSupersonic speedDiffuser (optics)NozzleNatural gasChoked flowMechanicsChemistryThermodynamicsPhysicsOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

We proposed a novel supersonic liquefied technology to liquefy the natural gas to LNG liquids. The Peng-Robinson equation of state combined with a thermodynamic process modeling package was employed to calculate the gas dynamics parameters in the supersonic liquefied process. The method to intensify the liquefied process was also discussed. The results show that natural gas expands to supersonic velocities with leading to the low pressure and temperature of 1611.5 kPa and -118.86 ˚C at the nozzle exit, respectively. The pressure-temperature (P-T) curves remaining in the dense phase region indicates that the supersonic liquefied apparatus can successfully liquefy the natural gas to LNG liquids. A large expansion ratio improves the performance of a supersonic liquefied apparatus since natural gas is expanded further. Inserting a long constant conduit between the Laval nozzle and diffuser deepens the supersonic liquefied process.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.342

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)0.0000.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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

Quick stats

Citations30
Published2012
Admission routes1
Has abstractyes

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