AN EXPERIMENTAL STUDY ON THE GAS-SOLID TWO-PHASE FLOW IN A SQUARE CYCLONE SEPARATOR WITH DOWNWARD GAS EXIT BY 3D-PDA
Bibliographic record
Abstract
Three dimensional Particle Dynamic Analyzer (3D PDA) was employed to measure the gas solid two phase flow in a lab scale square cyclone separator with downward gas exit under 4 cases of different inlet velocity and particle concentration. The particle used in the test was glass bead of mean diameter 30～40μm.It's found that the center of the flow field deviated from the geometric center of the cyclone. The flow fields showed a feature of Rankine eddy, i.e. strongly swirling region in the central part and pseudo free eddy region of weak swirling intensity near the cyclone wall. Local vortex existed at the corners where the flow changed its direction sharply. When the cyclone wall was heated and the suspension temperature was elevated, it's found that the flow field became more uniform than that under room temperature condition. The local vortex at the corners were weakened and the swirling intensity became poorer which led to a decreased total mean separation efficiency from about 81% to 76.5%. The results of this paper provide a further understand of the separation mechanism and guidance for the optimization of the square cyclone separator structure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".