An experimental and numerical investigation of the three‐phase flow in the washing chamber of an entrained flow gasifier
Bibliographic record
Abstract
Abstract This study established a cold experimental platform and a mathematical model to examine the gas–liquid–solid three‐phase flow in the washing process of the gas–solid flow as it passes through a liquid pool in an entrained flow coal gasifier. It visualized the three‐phase flow process and separation of the solid particles, including the bubble motion and particle separation processes. The concentration distribution and separation efficiency of the particles were quantitatively analyzed considering various major influencing factors. The particle separation mechanism was analyzed based on the characteristics of the three‐phase flow, and the results confirm that a multi‐peak distribution of particle concentration exists in the liquid pool along the axial and radial directions. There is considerable variation in peak particle concentration points with different particle sizes; as particle size increases, the particle separation efficiency also rises. Based on the calculation conditions in this study, the separation efficiencies obtained with particle diameters of 50, 20, and 10 μm were 96.98%, 94.48%, and 87.31%, respectively.
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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 | 0.000 |
| 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 | 0.001 | 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".