Preparation and Evaluation of Resistance Coke Formation Catalysts in Combined Reforming of Methane Using Steam and Oxygen for the Production of Synthesis Gas
Bibliographic record
Abstract
Ni-based catalysts with different promoters, such as Fe, La, Zr, Ce, and Ca, were prepared using the one-step sol–gel method and tested for their performance in the combined reforming of methane using steam and oxygen. The catalysts were characterized by XRD, SEM, TPO, BET, and TPR analysis. The consequences revealed that deposited carbon was lower on the surface of the 10% Ni-3% Fe-MgO·Al 2 O 3 catalyst in oxygen-combined CH 4 reforming. The Fe 2 O 3 -doped sample depicted the highest CH 4 conversion, more than 65%, and showed a higher catalytic stability for O 2 reforming of methane. In addition, introducing steam into the feeds benefited the performance of catalysts due to lower coke formation, and the H 2 /CO ratio was changed from 1.5 to 3 at 700 °C. It is concluded that the high catalytic efficiency of the Fe 2 O 3 -doped sample in combined reforming of methane was associated with its high reducibility and more reduction of NiO species.
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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) | 0.000 | 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".