Pyrolysis of High-Density Polyethylene in a Fluidized Bed Reactor: Pyro-Wax and Gas Analysis
Bibliographic record
Abstract
This study investigates the pyrolysis of high-density polyethylene (HDPE) in the fluidized bed reactor of a patented system. The experiments were performed at 500 °C, and the effect of olivine as a bed additive was studied. The HDPE material has a melting peak and crystallinity of 131 °C and 61.7%, respectively. Results revealed that wax is the dominant pyrolytic product. The addition of olivine in the fluidized bed increased the wax yield from 45.6 to 66 wt % and enhanced the formation of olefins. It was found that the pyro-wax has a high energy content (44.82 ± 0.24 MJ kg –1 ) and can be a potential source of fuel. The heating value is comparable to the energy content of conventional fuels. In addition, the results showed that chemicals in the pyrolytic product are dominated by aliphatic compounds. The pyro-wax has less branched alkyl chains than commercial waxes. The presence of many −C═C– groups in the pyro-wax indicates the formation of olefinic groups, and they are more than those in commercial waxes. Analysis of the pyro-gas revealed the dominance of ethylene, propylene, and hydrogen with yields of 8.68, 7.50, and 7.11 wt %, respectively, for the experiment conducted in the presence of olivine.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".