Operational Characteristics of a New Energy‐saving Impeller for Gas‐Liquid Mixing
Bibliographic record
Abstract
Abstract The fluid dynamic and mixing characteristics of a new hydrofoil impeller (termed Narcissus) for gas‐liquid mixing are reported. This impeller provides significant energy‐savings in bioreactor applications. Dye‐tracer visualization and CFD simulation have been used to uncover the prevailing flow patterns and the impeller liquid flow map is identified. Flow regime boundaries are shifted from those for disc‐style turbines. A mixing time corresponding to the turbulent mixing regime (i.e., Re > 104) is determined. The power characteristics are measured and compared with experimental data obtained for other impellers. The power number for the turbulent mixing regime for both cylindrical and square vessels was as low as 1. The aeration power at moderate Froude numbers (i.e., Fr < 1) decreased typically by only between 10 and 30%, confirming good gas‐handling capabilities for the new geometry. The gas hold‐up at a given power input was greater than for flat‐blade disc‐style turbines.
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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".