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Record W2618512685 · doi:10.2514/1.b36076

Numerical Investigation of Compressor Blades Deformation During Stall Development into Surge

2017· article· en· W2618512685 on OpenAlexaff
Taher Halawa, Mohamed S. Gadala

Bibliographic record

VenueJournal of Propulsion and Power · 2017
Typearticle
Languageen
FieldEngineering
TopicTurbomachinery Performance and Optimization
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsStall (fluid mechanics)SurgeGas compressorShroudAxial compressorCentrifugal compressorImpellerMechanicsDeflection (physics)Structural engineeringMaterials scienceGeologyEngineeringMechanical engineeringPhysicsOptics

Abstract

fetched live from OpenAlex

The present paper focuses on the simulations of the flow behavior and the structural analysis for a high-speed compressor at the transition time between stall and surge. Two cases are presented; the first case is for the compressor with its original design unchanged, and the other case is for the compressor controlled with air injection at the vaneless area. The case of the compressor with air injection was studied aerodynamically and discussed in detail in a previously published paper done by the authors of the current presented work. Results showed that the stall effect is relatively higher at the impeller exit near the shroud surface due to the interaction between the main flow and the secondary flow, which causes strong pressure and velocity fluctuations at this area. Results also indicated that the forces and moments for the case of the controlled compressor are lower than those for the uncontrolled compressor during stall and surge. The blades tip surface deflection is maximized at the moment of the maximum pressure in the surge cycle, and the most dangerous region at the deformed blades tip surface is located at the transition area between the axial and radial blade profile. Results also showed that the deformation of the blades at the tip region can be limited by changing the shaft bearing stiffness.

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)0.001
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.219
Teacher spread0.210 · 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

Citations8
Published2017
Admission routes1
Has abstractyes

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