The effect of polyester recycled tire fibers mixed with ground tire rubber on polyethylene composites. Part I
Bibliographic record
Abstract
The effect of polyester recycled tire fibers (RTFs) mixed with ground tire rubber (GTR) in linear low-density polyethylene (LLDPE) with and without styrene–ethylene–butylene–styrene-grafted maleic anhydride was studied. In particular, different RTF contents (10, 25, and 50 wt%) and compounding screw speed (110, 180, and 250 r min −1 ), as well as temperature profiles (extrusion and injection molding) were used to optimize the processing conditions. In this first part, a complete physical and morphological analysis for the RTF fibers and GTR particles was performed. The results show that the compatibilized compounds have lower RTF length and GTR particle size but better distribution of rubber particles in the LLDPE matrix. Overall, lower processing temperatures used in both extrusion and injection molding showed better interfacial adhesion between the components due to higher shear and mechanical energy imparted on the different particles.
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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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".