Heterogeneous catalysis in multi‐stage fluidized bed reactors: From fundamental study to industrial application
Bibliographic record
Abstract
Abstract The multi‐stage fluidized bed (MSFB) reactor with several stages connected in series prevents gas and solids back‐mixing effectively and obtains the plug‐flow reactor performance. Besides, different process steps can be accomplished in a single reactor by establishing different temperatures and/or concentrations in each stage. Therefore, multi‐stage fluidized bed reactors are acknowledged as novel and flexible multi‐phase flow reactors for heterogeneous catalytic processes, especially with the intermediates as the desired products. Typical process developments in the industry involve the methanol to aromatics (MTA), regeneration in fluid catalytic cracking (FCC), and hydrogenation of nitrobenzene to aniline. The purpose of this article is to provide a comprehensive review of the fundamental research as well as particular industrial applications on multi‐stage fluidized bed reactors in the Fluidization Laboratory of Tsinghua University (FLOTU).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".