Dry reforming of methane: Effect of different calcination temperatures of <scp> Al <sub>2</sub> O <sub>3</sub> </scp> and <scp> Mg‐Al <sub>2</sub> O <sub>3</sub> </scp> supports on <scp>Ni</scp> catalysts
Bibliographic record
Abstract
Abstract Dry reforming of methane (DRM) is an important way to produce synthesis gas, requiring the use of catalysts stable at high temperatures and capable of resisting coke formation. In this work, Ni/Al 2 O 3 and Ni/Mg‐Al 2 O 3 catalysts were synthesized with calcined aluminas at different temperatures (623, 773, 923, and 1073 K) to evaluate the effect of calcination temperature on catalyst properties and performance. The synthesis of catalysts was performed by wet impregnation with predicted levels of Ni (10% w/w) and Mg (5% w/w) in the treated supports. The DRM assays were conducted in an experimental laboratory unit (continuous fixed bed reactor with in‐situ catalyst activation) using a 1:1 (v/v) CH 4 :CO 2 mixture, a weight basis gas hourly space velocity (WGHSV) of 15 L h −1 gcat −1 , and operation at 973 K. The reaction product was evaluated by gas chromatography. Variations in CH 4 and CO 2 conversions and H 2 /CO ratio were observed, indicating that these catalysts have different physical and chemical characteristics attributed to different effects caused by calcinating the supports (Al 2 O 3 and Mg‐Al 2 O 3 ) at different temperatures.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads agree on what is shown here.
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".