Effect of Particle Coating on Fluidized-Bed Heat Transfer
Bibliographic record
Abstract
Heat-transfer coefficients from a fluidized suspension to immersed stainless steel spheres and an aluminum cylinder were studied in a laboratory-scale bubbling fluidized bed using coated and uncoated silica sand particles from a 90-MW th circulating fluidized bed (CFB), as well as a 30-MW th bubbling fluidized bed (BFB). The experiments were carried out for gas-velocity-to-minimum-fluidization-velocity ratios ( u / u mf ) from 1 to 3.5 and mean particle diameters of 350 and 635 μm. The heat-transfer coefficients for the coated particles were lower than those for the uncoated particles in all cases, with the difference between uncoated and coated sand particles being more significant for the CFB material than for the BFB sand.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".