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Record W4413215517 · doi:10.1115/gt2025-154118

Unsteady Flow Analysis of the Full Annulus and Complete Low-Pressure ENOVAL Transonic Compressor

2025· article· en· W4413215517 on OpenAlexaff
Julien Marty, Mohamed Amine Chemak, Sébastien Bourasseau, Marc Chauvy, Nicolas Habotte

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRefrigeration and Air Conditioning Technologies
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsGas compressorTransonicStatorAnnulus (botany)MechanicsTrailing edgeRotor (electric)Overall pressure ratioMass flowShock (circulatory)Axial compressorPhysicsShock waveLeading edgeAerodynamicsAerospace engineeringEngineeringMaterials scienceMechanical engineering

Abstract

fetched live from OpenAlex

Abstract For the next generation of aircraft engines, the ultra-high bypass ratio configuration is one of the challenges to be met. In this architecture, the fan and low-pressure compressor are separated by a gearbox, which implies the appearance of high-speed compressor. Compressibility effects are therefore amplified and contribute to rotor-stator interactions. Thus, the aim of this study is to carry out unsteady simulations of the complete and full-annulus low-pressure ENOVAL compressor and to perform the analysis of the unsteady performances and flow patterns. The use of probability mass function exhibits particular fluctuations of stagnation pressure downstream each stator, except the last one, and on wall static pressure. The analysis of shock pattern shows that the origin of this behavior is due to propagation of rotor shock wave in stator domains, and to reflected wave generated at trailing edge.

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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.202
Teacher spread0.197 · 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
Published2025
Admission routes1
Has abstractyes

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