Investigation of Internal Flow near Return Guide Vane Using Jet and Suction Flow
Bibliographic record
Abstract
The Performance and efficiency of multistage centrifugal compressors, which are required to operate continuously over a long time, are expected to further improve in the future. Many studies have been conducted to optimize the design of various components of compressors such as impellers and diffusers. Recently, experimental and numerical studies were conducted on the energy loss reduction through internal flow treatment in return systems that divert flow to the next stage of pressure increase. Rube et al. reported that 5-10% reduction in the entire stage efficiency is due to flow losses in the return system Rossbach et al. revealed that the secondary flow that is generated in the vaned passage by the strong inward swirl at high flow rates induces large-scale flow separation and the high mixing losses at the exit of the return guide vanes [2]. In addition, Traficante et al. attempted the active flow control of an axial compressor-stator cascade using plasma actuators, continuous and synthetic jets, and found that the internal flow could be improved However, the obtained results are limited and insufficient to determine the optimum feeding position and flow rate of these jets.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".