Poly (Lactic Acid) (PLA)/Recycled Styrene Butadiene Rubber (rSBR) Composites
Bibliographic record
Abstract
Recycled styrene butadiene rubber (rSBR) from waste car tires was used as a filler in poly(lactic) acid (PLA) to modify its properties. The compounds were prepared via twin-screw extrusion and molded by injection with different rSBR contents (0 to 25% wt.). Additionally, recycled rubber particle size was controlled between 125 and 1000 μm to determine the effect of this parameter. From the samples produced, a series of morphological, physical and mechanical characterizations were performed. As expected, rSBR addition decreased the PLA stiffness. Up to 5% rSBR, the flexural and elastic moduli were unchanged, but the tensile strength, elongation at break and impact toughness were decreased. The highest tensile strength, elongation at break and impact toughness were achieved for PLA/rSBR blends filled with small rubber particles (125-250 μm). According to the morphological analysis, this behavior was associated to better interfacial interactions between smaller rSBR particles (higher specific surface area) and PLA resulting in a more uniform filler distribution and better stress transfer from PLA to rSBR. Finally, to complete the mechanical properties of the materials, fatigue tests were carried out on different blends and the results were related to instrumented indentation to get some more local information.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 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".