Study of Effects of Rotor Tip Tailoring in Axial Flow Compressors
Bibliographic record
Abstract
The performance of an axial compressor rotor is known to be affected by the variations in tip clearance during its operation. This effect is pronounced for the rear stages of a multistage compressor. This paper describes a novel design that is shown to aerodynamically desensitize the rotor tip to the tip clearance variations. The effect of tip clearance variations on the performance of a baseline low speed, high hub-to-tip ratio axial compressor rotor is studied using CFD. Based on the understanding developed from this flow analysis, the baseline rotor is redesigned by tailoring the tip and redistributing the blade loading over the span. The tip tailoring results in a blade with split dihedral, i.e. of applied dihedral variable from the leading edge to the trailing edge. CFD analysis of the tip tailored configuration shows lower pressure drop with increasing tip clearance as compared to the baseline design. The simulation results are validated through testing in a low speed axial compressor rig, thereby giving experimental support to the desensitization of the rotor to the studied tip clearance variations by tip tailoring.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".