Thermoplastic Vulcanizates/Recycled Polypropylene Blend for Automotive OEM
Bibliographic record
Abstract
An original equipment market (OEM) in Thailand mainly imports thermoplastic vulcanizates (TPV) from abroad that leads to a high manufacturing cost. To reduce the cost and to create value-added products from a plastic scrap, therefore, this research aim is to observe a possibility of using TPV and recycled polypropylene (rPP) blends as a raw material for OEM. The blends with various rPP loadings were successfully prepared through a traditional twin-screw extruder. Proportions between TPV and rPP were adjusted to determine the optimal flow and mechanical properties for productions of different auto parts. The blends were tested for studying rheology and mechanical properties: tensile; hardness; flexural; and creep behavior. All tests resulted in discussions about the feasibility of using TPV/rPP blends with respect to auto part specifications in real applications. Test results suggested that the TPV/rPP blends meet the requirements of specific automotive applications. Thermal property and morphological analysis were also carried out to have more understanding about changes in mechanical properties.
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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 | 0.001 | 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".