Kinetic Model for the Combustion of Coke Derived at Different Coking Temperatures
Bibliographic record
Abstract
The oxidation behavior of coke samples derived from Neilburg oil and its asphaltenes at different coking temperatures was examined using thermogravimetric analysis (TGA). A two-coke model was proposed to describe the coke combustion processes. The two-coke model provided a better prediction than the conventional one-coke model, i.e., the classical Arrhenius model, as it matched the experimental data more accurately, especially at lower combustion temperatures. The two coke pseudocomponents might reasonably represent the cokes derived at different coking temperatures, and the two-coke model appeared potentially useful to interpret the coke combustion process and applicable to simulation. Our experimental data suggest that the coke's reactivity was inversely proportional to the coking temperature. With respect to the coke sources, the coke derived from whole oil showed higher reactivity than the one from asphaltenes, although the difference was modest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".