Experimental and modelling study of propane aromatization over H‐ZSM‐5 catalysts prepared by different silica sources
Bibliographic record
Abstract
The catalytic performance of H‐ZSM‐5 samples prepared from different silica sources, namely, Ludox (sample A), waterglass (sample B) and tetraethyl orthosilicate (sample C) in aromatization of propane was studied. The catalysts were characterized by BET, SEM, XRD and NH 3 ‐TPD techniques to analyze the structure and acidity of the active sites. The performance tests were carried out in fixed‐bed reactor at 550 °C. For a quantitative assessment, the long‐term propane conversion data were fitted with a second order kinetics for the main reaction and a second order independent kinetics for deactivation using integral method of analysis. Fair fits were observed. According to silica source, the order for activity and stability were A>B>C and B>C>A, respectively. The incorporation of Zn (0.4 wt. %) as a promoter showed beneficial effect on aromatic selectivity at the expense of propane conversion and catalyst stability. The introduction of Zn decreased the rate constant of aromatization from 9.4 to 8.7 m 6 ·kg −1 ·mol −1 ·h −1 at 550 °C, while the rate constant of deactivation increased by a factor of five, that is, from 0.0056 to 0.025 h −1 .
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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 | 0.000 | 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) | 0.000 | 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".