Properties of Recycled PS/SBR Blends: Effect of SBR Pretreatment
Bibliographic record
Abstract
The properties of recycled styrene-butadiene rubber (SBR) blended with virgin polystyrene (PS) have been investigated over a wide range of concentrations (0–94% wt. SBR). The compounds were prepared by twin-screw extrusion followed by injection molding. A pre-treatment in solution (toluene) was also performed to improve the compatibility between the phases. Extraction tests and thermogravimetry were used to determine the amount of PS inserted in the SBR particles. Morphological analysis (SEM) coupled with physical (density and hardness) and mechanical (tension, flexion, torsion and impact) measurements were performed to assess the final behavior of the mixtures. The results show that the proposed treatment can improve the properties, especially at SBR concentrations greater than 50% wt.
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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 | 0.001 |
| 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".