Performance Prediction of Centrifugal Impellers Using a Two-Zone Model
Bibliographic record
Abstract
This paper outlines the methodology and theory required for the development of a computer code for the performance prediction of centrifugal impellers. The theory is blended from two main sources on two-zone model development. The equations provided show a simplified version of previous two-zone models published while maintaining a similar level of accuracy in the prediction of pressure ratio and isentropic efficiency. The idea behind the development of the algorithm is the production of an impeller map which can be used in the preliminary design phase with a minimum amount of input information, namely basic geometry which could be determined from simple design point calculations. Validation of the model was performed against compressor maps and geometries available in the literature. It was subsequently shown that with the blending of inlet, diffusion ratio and two-zone models, a centrifugal impeller model was constructed which agreed well over a wide range of rotational speeds and mass flow rates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".