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Record W4390850372

Simulation numérique du givrage par cristaux dans un banc de compresseur axial

2023· preprint· en· W4390850372 on OpenAlexaff
Tristan Soubrié, Moussa Diop, Claire Laurent, Maxime Bouyges, Jean-Mathieu Senoner, Philippe Villedieu, Martin Neuteboom

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typepreprint
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsIcingGas compressorComputer simulationAerospace engineeringGeologyMarine engineeringPhysicsEngineeringEnvironmental scienceMechanicsMeteorology
DOInot available

Abstract

fetched live from OpenAlex

Numerical simulations of ice crystal icing within an experimental single-stage compressor test rig representative of realistic aeronautical engines are investigated. This paper aims to assess the icing models in CEDRE multi-physics CFD code recently developed and implemented. Gas flow, ice crystal trajectories, fragmentation dynamics and melting along the geometry are successively computed before the ice accretion in the test article is calculated using a surfacic solver that includes recently developed erosion and porosity models. Three experimental operating points are considered, with wet bulb temperatures increasing from negative to positive values and respectively exhibiting no accretion, significant accretion and moderate accretion. The comparison of simulation results with experiments for these cases shows a good agreement in terms of occurrence, location and surfacic extension of accretion phenomena. Nevertheless, a global shift in the inlet temperature is necessary to reproduce experimental results.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.752
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 science0.0010.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.224
Teacher spread0.208 · 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.

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
Published2023
Admission routes1
Has abstractyes

Explore more

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