Experimental investigation on the separation performance of air‐adjustable underflow hydrocyclone
Bibliographic record
Abstract
Abstract An adjustable structure of underflow diameters in real‐time is urgently needed to cope with the variability of the operating conditions of hydrocyclones. In this study, an air‐adjustable underflow structure was proposed. It is composed of a cylindrical metal casing with a rubber tube pressed in the middle. An air chamber was formed between the rubber tube and the metal casing. By regulating the pressure of the injected air in air chamber, the size of the fluid channel can be adjusted in real‐time. The separation performance, including solid yield, separation precision, and classification efficiency, of the hydrocyclone with the air‐adjustable underflow and the hydrocyclone with a conventional underflow was compared. The results indicate that the hydrocyclone with the air‐adjustable underflow not only enables adjustability during the separation process but also maintains comparable performance with traditional hydrocyclones in key metrics. Specifically, the underflow split ratio and solid yield of the air‐adjustable underflow exceed those of the conventional design. Moreover, under low feed pressure, the air‐adjustable underflow achieves superior separation precision and classification efficiency compared to the conventional underflow. However, under higher feed pressures, slight deformation of the rubber tube of the adjustable underflow port may occur, which would reduce its efficiency. These findings offer valuable guidance for the on‐site adjustment of hydrocyclones.
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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 | 0.001 |
| 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".