Role of zeolite content in Ni-Mo/β-USY zeolite catalyst on hydrocracking of <i>n</i>-hexadecane and vacuum gas oil in a batch reactor and a fixed-bed reactor
Bibliographic record
Abstract
In this paper, different materials that involved amorphous silica–alumina and hydrothermally synthesized beta zeolite and treated Y zeolite (USY) were introduced as parts of the hydrocracking catalyst supports. The prepared supports were used for preparation of Ni-Mo/silica alumina–zeolite catalysts by wetness impregnation method. The prepared catalysts were characterized by BET, temperature programmed desorption (TPD), temperature programmed reduction (TPR), and field emission – scanning electron microscopy (FE–SEM) methods. Effect of zeolite type and content on hydrocracking of n-hexadecane and vacuum gas oil in a batch and a fixed-bed reactor was investigated. Also, the content of coke formed after reaction was measured by thermal gravimetric methods (TGA). Hydrocracking was done at 400 °C and 55 bar. The hydrocracking of vacuum gas oil results showed that in the Ni-Mo/10B-30USY catalyst containing higher USY zeolite with high total acidity, selectivity to middle distillate was higher than the other (90%). Moreover, the Ni-Mo/10B-30USY catalyst in hydrocracking of n-hexadecane had a higher yield (82%) and was more selective to heavier products (C 9 –C 12 ). The findings indicated that in the Ni-Mo/10B-30USY catalyst, coke content was more than the other due to high acidity.
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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) | 0.001 | 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".