Lower-cost, ligther and greener polypropylene-based biocomposites for construction applications
Bibliographic record
Abstract
This presentation discloses the viability of the formulation, processing, and performance of advanced biocomposites and bioblends based on polypropylene (PP) designed for industrial manufacturing. The PP was compounded with three different types of cellulosic fibers, in a bioblends with polylactide (PLA) as bio-sourced polymer, and in PP/PLA/cellulosic biocomposites. These biomaterials were characterized in terms of morphology, mechanical and thermal properties. Tensile strength, tensile modulus, and the heat deflection temperature of the bioblends and the biocomposites presented at least equivalent values comparing with virgin PP and with PP current industrial grades. The extruded biocomposites, foamed in injection molding process, presented similar properties as the unfoamed and reference counterparts while being up to 25 wt.% lighter, up to 50% less expensive, and up to 50% greener.
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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".