Bubble Characteristics in a Pulsated Fluidized Bed under Intermittent Fluidization.
Bibliographic record
Abstract
パルス流動層では, 流動化空気の流入と閉止の二つの連続する期間が一つのサイクルとして操作される. 流動化空気閉止期間に層全体で静止層が形成される断続的流動下において, 粒子混合や伝熱特性に大きな影響を及ぼす気泡特性への粒子径, 流動化空気流速, 初期粒子層高の影響を検討した. 気泡数ならびに気泡径の経時変化の評価は, デジタルビデオカメラ観察により行った. その結果, 静止層への流動化空気の流入は, 通常の気泡流動化または静止層リフトを伴う大気泡流動のいずれかを起こすことが分かった. 流動化空気流速ならびに初期粒子層高の増加とともに, 通常の気泡流動化から静止層リフトを伴う大気泡流動に移行することが確認された. また, 粒子径の減少により, より低空気流速においてもパルス流動層に特徴的な静止層リフトを伴う大気泡流動が確認された.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".