Bibliographic record
Abstract
Heat transfer coefficient of bed to wall is a combination of the convective heat transfer coefficients due to the cluster and dispersed phase, and the radiative contributions of the cluster and dispersed phase in a circulating fluidized bed. Researchers developed a few heat transfer models to compute the convective heat transfer coefficient. However the calculation of radiative heat transfer coefficients mainly based on empirical and semi empirical equations. Computation on the radiative heat transfer coefficient is relatively poor.A radiation heat transfer model is presented based on mechanism analysis of dense region and dilute region in a circulating fluidized bed. A radiative two channel model is used to compute the radiative heat transfer coefficient between clusters and a wall in a dilute region. Influences of different parameters on the radiative heat transfer coefficient were analyzed, including solids particle diameter, solids annual thickness, operation velocity and temperature. The model helps to understand the radiative heat transfer mechanism in a circulating fluidized bed.Model predictions agree well with those heat transfer data of a 165 MWe circulating fluidized bed boiler.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".