Adsorption and Diffusion Behavior of n-Butane and Butene-1 on ZSM-5 Zeolite with Different Si/Al Ratios and Temperatures
Bibliographic record
Abstract
Adsorption and diffusion behavior of C4 fractions (n-butane and butene-1) on special shape-selective and acidic ZSM-5 zeolite with different Si/Al ratios, which is used as catalyst in olefins catalytic cracking (OCC) technology, was investigated using an intelligent gravimetric analysis apparatus (IGA-003, HIDEN) at 275, 288 and 300 K. The double Langmuir model was applied to simulate the adsorption of n-butane and butene-1 on ZSM-5 zeolite samples. The diffusion coefficients of n-butane and butene-1 were correlated in terms of the Fick diffusion model. The results indicate that the diffusion of n-butane and butene-1on ZSM-5 zeolites are intracrystalline diffusion, and the diffusion coefficients are of the order of magnitude 10-14 m2/s. In addition, the diffusion coefficients of n-butane are larger than those of butene-1 on ZSM-5 zeolites at the same temperature and pressure. Moreover, the diffusion coefficients of n-butane and butene-1 on ZSM-5 zeolites all increase with temperature, and increase with pressure first and decrease at high pressure. In addition, the diffusion coefficients of n-butane all increase with the Si/Al ratio. The results are applicable in the C4 olefins catalytic cracking technology.
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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 | 0.000 | 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".