Obtention and Characterization of Polypropylene, Calcium Carbonate and Poly(ethylene-co-vinyl acetate) Composites
Bibliographic record
Abstract
In the increasingly competitive market, the survival of the industries that manufacture components or pieces of polymer is strictly linked to the reduction of production costs. An alternative could be the use of composites of polypropylene, calcium carbonate and poly(ethylene-co-vinyl acetate) for the production of thermoplastics sheets. The thermoplastics sheets obtained by extrusion and co-extrusion processes were characterized through the chemical, physical, thermal, mechanical and morphological characteristics of materials, enabling the performance analysis of the production processes and application to the design of components or parts. The results showed that the addition of 30 wt% CaCO3-EVA increased the thermal stability of polypropylene (PP) around 32°C, decreasing the processing temperature of composites in 15°C, also by decreasing the crystallinity of the polymer from 43% to 30% and the deflection temperature of plastics under flexural load in the edgewise position (DTUL) from 122°C to 107°C. Regarding to the mechanical tests, the yield stress of the composites obtained by extrusion and co-extrusion processes decreased with the addition of CaCO3-EVA. According with the obtained results, we suggest that PP/CaCO3-EVA composites could be used in the production of polymeric parts or components where tensile strengths higher than 25 MPa are not required and for service temperatures between 30°C and 70°C.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| 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".