Manufacture of Liquid Fuel by Catalytic Cracking Waste Plastics in a Fluidized Bed
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
An experimental research project is presented in this article which addresses some key technical issues in the operating process of converting waste plastics into fuels. In particular, these issues have been existing in the manufacture of fuel oils and chemicals from cracking the waste plastics. This study investigated the catalytic cracking action of a self-made catalyst, YNN (for the polyene plastics), and the reforming action of a self-made molecular sieve catalyst, HC-1 (for the plastics cracking production), by using an improved fluidized bed as the reactor. The project examined various impacts of several factors such as the reaction temperature and catalyst dosage on reaction process and production. The optimal reaction conditions were identified. Based on these conditions, bench-scale experiment was carried out by using mixed waste plastics. The experiment’s product of liquid fuels could meet national standards for auto fuels.
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.
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 it