Research and Analysis of Dry Crushed Waste Tire Processing
Bibliographic record
Abstract
For the treatment of waste tires and waste tire reuse has become an important task in today's society. Waste tire processing methods are: restructuring the use of the prototype. Energy use of waste tires as fuel will use high-temperature heating with thermal decomposition of waste tires, to promote its decomposition into oil, combustible gas, carbon. Scrap tire retreading. Powder production and other means. By mechanical means will be used after the tire tread and some other parts of the split will be obtained after crushing the powder material is powder. Currently the main mode of production has powder dry grinding, cryogenic grinding and wet grinding method. Different methods produce different particle size range of powder, powder surface morphology is also different. Dry grinding, wet grinding and cryogenic grinding of the legal system into a powder particle size in the range of 0.3 mm ~ 1.5 mm, 0.075 mm ~ 0.3 mm and 0.075 mm or less. Dry grinding method because of his production and processing simple process has been widely used in powder production process. For dry grinding process and mechanical work made for the research and analysis.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".