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Record W4414127921 · doi:10.1115/1.4069737

Development of Hydrocarbon Gas Compressor With Integral Motor and Foil Bearing

2025· article· en· W4414127921 on OpenAlexaff
JungHan Lee, DaeHyuk Lee

Bibliographic record

VenueJournal of Engineering for Gas Turbines and Power · 2025
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsGas compressorReciprocating compressorNatural gasRefrigerantRefrigerationBearing (navigation)PropaneFlammable liquidRotor (electric)

Abstract

fetched live from OpenAlex

Abstract Turbocompressors are important equipment in oil and gas industry. Despite advantages in size and efficiency, turbocompressors could not be widely applied for small capacity compressions due to high equipment cost and difficulties in high-speed rotor system design compared with reciprocating and screw compressors. By incorporating technologies developed from other disciplines of industry, simplified and efficient turbocompressor solutions have been derived, which may lower the capacity limit of centrifugal compressors and extend to traditional reciprocating compressor range. In addition, explosion protection technologies required for the hydrocarbon gas compressor design have been developed through studies and investigations on relevant industrial regulations. In this paper, hydrocarbon gas compressor design, tests, and applications are introduced. The compressors have been tested with several gases for oil and gas industry and refrigeration systems. Through tests with flammable hydrocarbon gases, soundness of foil bearing with high-speed integral motor and compliance in hazardous area applications have been demonstrated. Contrary to most traditional gas compressors, no gas is leaked to the atmosphere from the rotating shaft and coupling due to gas-tight design. The compressor can be used for natural gas compression, propane and natural gas liquefaction, and hydrocarbon base refrigeration systems, and it would contribute to the industry with less material and less polluting to the environment.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.305

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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2025
Admission routes1
Has abstractyes

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