Processing and properties of thermoplastics elastomers based on recycled polyethylene and EPDM
Bibliographic record
Abstract
In order to reduce raw material costs, thermoplastic elastomer (TPE) resins were produced using recycled materials. In particular, post-consumer polyethylene (PE) and ethylene-propylene diene monomer (EPDM) were used. Nevertheless, a coupling agent based on maleated polyethylene (MAPE) was used to determine if interfacial properties can be modified. The compounds were processed via twin-screw extrusion and then pelletized. The samples were finally produced by compression molding with different EPDM (0, 40, 50, 60, 80, 90%) and MAPE (0, 5, 10 phr) contents giving a wide range of properties. Based on the samples produced, a complete mechanical characterization in terms of tensile, torsion, and flexural properties was performed, as well as morphology, density and hardness. The results show that the effect of coupling agent addition is only important at high EPDM contents with a transition concentration around 60% where a balance between rigidity, elasticity and strength can be obtained.
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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 | 0.000 |
| 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".