Effect of nozzle shape on bubble column reactor with constant flow rate
Bibliographic record
Abstract
Abstract The present investigation is focused on the bubble formation from different shaped nozzles: straight nozzle, straight converging nozzle, straight diverging nozzle, converging nozzle, and submerged nozzle, with a constant flow rate of 0.008 m/s and static contact angle of 45°, respectively. The effective dimension of the nozzle has been taken as 2 mm radius and 3 mm height. The impact of varying nozzle shapes on changes in bubble volume and the occurrence of different pinch‐off times have been observed. A maximum pinch‐off time of 1.854 s on straight nozzle and minimum of 0.078 s on converge nozzle with bubble volumes 111.36 mm 3 and 62.12 mm 3 was obtained. Maximum bubble volume attained from diverging nozzle was 123.21 mm 3 with optimum pinch‐off time, which is highly useful for bioreactor application.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".