Numerical Investigation of Compressor Blades Deformation During Stall Development into Surge
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".