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Record W4410857195 · doi:10.1016/j.jsv.2025.119207

Thermomechanical transient dynamics of radial rotor–stator contact

2025· article· en· W4410857195 on OpenAlexaff
C. Jacobs, Fabrice Thouverez, Mathias Legrand

Bibliographic record

VenueJournal of Sound and Vibration · 2025
Typearticle
Languageen
FieldEngineering
TopicTribology and Lubrication Engineering
Canadian institutionsMcGill UniversitySafran Electronics (Canada)
FundersSafran Helicopter EnginesAssociation Nationale de la Recherche et de la Technologie
KeywordsStatorTransient (computer programming)Rotor (electric)Dynamics (music)MechanicsContact dynamicsControl theory (sociology)Mechanical engineeringMaterials scienceEngineeringPhysicsComputer scienceAcousticsArtificial intelligence

Abstract

fetched live from OpenAlex

The present paper discusses the numerical investigation of structural interactions initiated radially between a turbine shaft and an annular stator. The rotorshaft is modeled under the rigid bodies assumption while the stator is discretized in space with curved Bernoulli beam elements. The turbomachine is assumed to be driven by two torques: the first one is prescribed from aerodynamics while the second one is induced by sliding friction from Coulomb’s model and must be assessed. The study is motivated by the need to predict the dynamic behavior of the rotorshaft in the presence of radial contact between the labyrinth and the annular stator. If rotordynamics accounting for unilateral and frictional contact is widely developed in literature, the combination with an unknown rotational velocity and thermomechanical coupling must still be investigated. Indeed, heat generation and subsequent thermal expansion is expected to modify the contact interface and the dynamic response. The system is solved in the time domain and contact treatment is achieved though a modified version of the Carpenter algorithm. The identification of the conditions affecting the rotational speed is achieved through a sensitivity analysis on the stator properties, friction coefficient and coefficient of thermal expansion. Results confirm that the higher the friction coefficient and stator stiffness are, the lower the maximum rotational velocity value is. It is also shown that high temperatures are located in specific regions on the stator and that the temperature peaks are amplified with thermal expansion.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.684
Threshold uncertainty score0.154

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 head0.213
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.

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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