In Situ Preparation of Alumina Nanoparticles in Heavy Oil and Their Thermal Cracking Performance
Bibliographic record
Abstract
This work details a technique for the in situ preparation of alumina nanoparticles in heavy oil and explores their activity with respect to mild thermal cracking. In principle, in situ-prepared nanoparticles display a high level of dispersion, which should improve their catalytic activity. Dispersed alumina nanoparticles 17 ± 5 nm in mean diameter were successfully prepared at 300 °C and characterized using X-ray diffraction, transmission electron microscopy, and energy-dispersive X-ray spectroscopy. The thermal cracking experiments were conducted in a batch reactor setup under two stages of heating at 300 and 350 °C. The pressure buildup in the reactor and the viscosity and °API gravity of the resultant oil were taken as measures of the extent of thermal cracking. Although there was a general shift toward higher °API gravity, it still fell within the level of uncertainty probably due to agglomeration at 350 °C that limited nanoparticle activity. A higher viscosity was obtained for the liquid fraction because of cross-linking. Furthermore, the uptake of hydrocarbon by the in situ-prepared nanoparticles was compared with that of commercial alumina nanoparticles. Uptake values with and without n -heptane or dichloromethane washing suggest different adsorbed species on the two types of particles.
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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".